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Python 620 Program Practice Plan: Zero to Hero Roadmap

This plan is structured into 57 days, with 10 to 12 programs per day, categorized for maximum learning efficiency. Each program is described clearly and assigned a unique filename.

Day 1: Python Basics & Simple Math (11 Programs)

Focus: Input/Output, Arithmetic, and Basic Variable Manipulation.

# Program Description (Focus) Category Filename
1 Swap the values of two variables (using temporary variable AND Python tuple unpacking). A. Basics A01_swap_values.py
2 Calculate the sum of the first and last digit of a 4-digit integer. A. Basics A02_digit_sum.py
3 Convert distance in Kilometers (km) to Centimeters (cm), Meters, Feet, and Inches. A. Basics A03_unit_convert.py
4 Implement a simple calculator: take two numbers and an operator (+, -, *, /) as input and display the result. A. Basics A04_simple_calc.py
5 Calculate the Simple Interest (SI) given Principal, Rate, and Time. A. Math A05_simple_interest.py
6 Calculate the Compound Interest (CI) given Principal, Rate, and Time. A. Math A06_compound_interest.py
7 Calculate the Area of a Circle given its radius ($A = \pi r^2$). A. Math A07_circle_area.py
8 Calculate the Perimeter of a Rectangle given its length and breadth. A. Math A08_rect_perimeter.py
9 Calculate the Cube of a number ($n^3$) input by the user. A. Math A09_cube_number.py
10 Calculate the Average of three numbers. A. Math A10_average_three.py
11 Convert temperature from Fahrenheit to Celsius (using the formula: $C = (F - 32) \times 5/9$). A. Math A11_f_to_c.py

Day 2: Conditional Logic & Decision Making (11 Programs)

Focus: if, elif, else blocks, Boolean logic, and comparison.

# Program Description (Focus) Category Filename
12 Determine if a user is eligible to vote (age $\ge 18$) and display an appropriate message. B. Conditionals B01_vote_eligibility.py
13 Determine if a number is positive, negative, or zero. B. Conditionals B02_pos_neg_zero.py
14 Determine if a number is Even or Odd. B. Conditionals B03_even_odd.py
15 Find the Largest of Three input numbers. B. Conditionals B04_max_of_three.py
16 Determine a person's life stage (Kid, Teenager, Adult, Senior Citizen) based on input age using tiered elif checks. B. Conditionals B05_life_stage.py
17 Calculate student Total, Percentage, Result (Pass/Fail), and Grade for 5 subjects. Must be marked Fail if any subject mark is below 40. B. Logic B06_student_grade.py
18 Determine if a given year is a Leap Year (divisible by 4, except for years divisible by 100 but not by 400). B. Logic B07_leap_year.py
19 Check if a single input character is a vowel (a, e, i, o, u) or not. B. Logic B08_is_vowel.py
20 Convert an input character to lowercase if it's uppercase, and vice-versa. B. Logic B09_toggle_case.py
21 Advanced Discount Logic: Calculate bill payment with a tiered discount based on purchase amount (e.g., $<1000$: 5%, $>5000$: 20%). B. Logic B10_bill_discount_tiered.py
22 Taxable Income Check: Determine if income is taxable based on gender (Male > 700000, Female > 500000). B. Logic B11_tax_check.py

Day 3: Loops & Iteration (Part 1) (11 Programs)

Focus: for and while loops, basic counting, and tables.

# Program Description (Focus) Category Filename
23 Print numbers from 1 to 10 using a while loop. C. Loops C01_while_1_to_10.py
24 Print numbers from 1 to 10 using a for loop and the range() function. C. Loops C02_for_1_to_10.py
25 Print all even numbers up to a user-defined limit ($N$) using a while loop. C. Loops C03_while_even_n.py
26 Print all odd numbers from 1 to a user-defined limit ($N$) using a for loop. C. Loops C04_for_odd_n.py
27 Print the multiplication table of a given number ($N$) using a for loop. C. Loops C05_table_for.py
28 Print the multiplication table of a given number ($N$) using a while loop. C. Loops C06_table_while.py
29 Print numbers in reverse order from 100 down to 90 using range(). C. Loops C07_for_100_90.py
30 Find all numbers between 2000 and 3200 (inclusive) which are divisible by 7 but NOT a multiple of 5. C. Loops C08_range_filter.py
31 Calculate the Factorial of a number ($N!$) using iteration (loop). C. Math C09_factorial_iter.py
32 Print the first 10 natural numbers along with their squares and cubes in a tabular format. C. Loops C10_sq_cube_table.py
33 Print all numbers that are divisible by 7 between 1 and 200. C. Loops C11_divisible_by_7.py

Day 4: Loops & Iteration (Part 2) (11 Programs)

Focus: Digit manipulation, sequences, and advanced loop usage.

# Program Description (Focus) Category Filename
34 Calculate the sum of digits of a given integer number ($N$). C. Math C12_sum_of_digits.py
35 Reverse a given integer number ($N$). C. Math C13_reverse_number.py
36 Check if a given number is a Palindrome (reads the same forwards and backwards). C. Logic C14_palindrome_num.py
37 Check if a given number is an Armstrong Number (sum of cubes of digits equals the number). C. Logic C15_armstrong.py
38 Generate the Fibonacci series up to $N$ terms. C. Sequence C16_fibonacci.py
39 Find all Prime Numbers up to a user-defined limit ($N$). C. Sequence C17_primes_in_range.py
40 Print characters from an input string that are present at even index positions using a loop. C. String C18_string_even_index.py
41 Use the else block with a for loop to display a message ("Loop completed successfully") only when the loop finishes without a break. C. Advanced C19_for_else.py
42 Use a loop to display elements from a given list that are present at odd index positions. C. List C20_list_odd_index.py
43 Find the total number of words in an input string. C. String C21_count_words.py
44 Count the number of times a specific word appears in a given string. C. String C22_count_word_freq.py

Day 5: Functions & Modularization (11 Programs)

Focus: Defining functions, return values, basic math, and arguments.

# Program Description (Focus) Category Filename
45 Create a function calculate_area_circle(radius) to calculate and return the area of a circle. D. Function D01_func_area_circle.py
46 Create two separate functions, square(n) and cube(n), that return the square and cube of a number, respectively. D. Function D02_func_sq_cube.py
47 Create a function calculate_simple_interest(P, R, T) to calculate simple interest. D. Function D03_func_si.py
48 Create a function is_prime(n) that checks if a number is prime and returns a Boolean (True or False). D. Function D04_func_is_prime.py
49 Create a function string_length(s) that returns the length of a string without using the built-in len(). D. Function D05_func_str_len.py
50 Create a function factorial_rec(n) that calculates the factorial of a number using recursion. D. Recursion D06_func_factorial_rec.py
51 Create a function encrypt_string(s) that replaces all vowels (a, e, i, o, u) with 'x'. D. Function D07_func_encrypt_vowel.py
52 Implement the recursive Fibonacci sequence function. D. Recursion D08_func_fib_rec.py
53 Implement the Tower of Hanoi problem using recursion. D. Recursion D09_func_hanoi.py
54 Write a program to demonstrate the four ways to pass arguments to a function: Required, Keyword, Default, and Variable-length (*args, **kwargs). D. Arguments D10_func_arg_types.py
55 Create a single function that accepts 3 arguments (2 numbers and 1 arithmetic operator string) and uses an if/elif/else structure to return the calculated result. D. Function D11_func_op_calc.py

Day 6: Data Structures (Lists & Tuples) (11 Programs)

Focus: List manipulation, comprehensions, and tuple basics.

# Program Description (Focus) Category Filename
56 Accept a sequence of comma-separated numbers from the user and generate a list and a tuple of those numbers. E. List/Tuple E01_list_tuple_from_csv.py
57 Display the first and last elements from a predefined list (e.g., a color list). E. List E02_list_first_last.py
58 Create a dynamic list by repeatedly taking elements from the user until a sentinel value is entered, then display the final list. E. List E03_dynamic_list.py
59 Write a program to find the maximum, minimum, and length of a list using user-defined functions. E. List E04_list_min_max_func.py
60 Create a new list using a List Comprehension that stores the squares of numbers from 1 to $N$. E. List Comp E05_list_squares_comp.py
61 Implement the Two Sum Problem: Given a list of numbers and a target, find the indices of the two numbers that add up to the target. E. Algorithm E06_two_sum.py
62 Move Zeroes: Move all zeroes in a list to the end while maintaining the relative order of the non-zero elements. E. List Ops E07_move_zeroes.py
63 Merge Sorted Lists: Merge two already sorted lists into a single sorted list. E. List Ops E08_merge_sorted_lists.py
64 Find all Duplicate Elements in a given list. E. List Ops E09_find_duplicates.py
65 Rotate an Array: Rotate a list of $N$ elements to the right by $K$ steps. E. List Ops E10_rotate_array.py
66 Product of Array Except Self: Compute a new list where each element is the product of all elements in the original list except the element at the current index. E. Advanced E11_product_except_self.py

Day 7: String Manipulation (11 Programs)

Focus: String methods, character-level logic, and basic search.

# Program Description (Focus) Category Filename
67 Reverse an input string without using slicing ([::-1]) or the reversed() function (use a loop). F. String Ops F01_str_reverse_manual.py
68 Check if an input string is a Palindrome (reads the same forwards and backwards). F. String Logic F02_str_palindrome.py
69 Convert an input string entirely to uppercase letters. F. String Ops F03_str_to_upper.py
70 Convert an input string entirely to lowercase letters. F. String Ops F04_str_to_lower.py
71 Concatenate two input strings. F. String Ops F05_str_concatenate.py
72 Compare two strings to check if they are exactly the same (case-sensitive and case-insensitive check). F. String Logic F06_str_compare.py
73 Find the number of spaces and vowels in an input string. F. String Logic F07_str_vowels_spaces.py
74 Check if two strings are Anagrams of each other (contain the same characters in a different order). F. String Logic F08_check_anagram.py
75 Find the First Non-Repeating Character in a string. F. String Logic F09_first_unique_char.py
76 Remove all blank spaces from an input string. F. String Ops F10_remove_spaces.py
77 Find the Highest Frequency Character (the one that occurs most frequently) in a string. F. String Logic F11_highest_freq_char.py

Day 8: Dictionaries, Sets, and Comprehension (12 Programs)

Focus: Advanced collection manipulation using Pythonic syntax.

# Program Description (Focus) Category Filename
78 Create a dictionary where keys are numbers from 1 to $N$ and values are their squares using a Dictionary Comprehension. G. Dict Comp G01_dict_squares_comp.py
79 Create a dictionary from a string, where keys are characters and values are their frequencies (occurrences). G. Dictionary G02_dict_char_freq.py
80 Merge two dictionaries into a single dictionary. Handle key conflicts by using values from the second dictionary. G. Dictionary G03_dict_merge.py
81 Filter a dictionary to include only items where the value is greater than a specified threshold. G. Dict Comp G04_dict_filter_value.py
82 Invert a dictionary: swap keys and values. Handle cases where multiple keys map to the same value (values become lists of keys). G. Dictionary G05_dict_invert.py
83 Access nested data: From a sample JSON API response (dictionary), extract a specific nested field (e.g., city name). G. Dictionary G06_dict_nested_access.py
84 Create a Set from a list to automatically remove duplicate elements. G. Sets G07_set_remove_duplicates.py
85 Perform Set Operations: Union, Intersection, and Difference between two sets of numbers. G. Sets G08_set_operations.py
86 Use a Set Comprehension to create a set of unique square roots of numbers from a list. G. Set Comp G09_set_root_comp.py
87 List Comprehension with Conditional: Create a new list containing only the even numbers from an existing list. G. List Comp G10_list_comp_if.py
88 Nested List Comprehension: Flatten a list of lists (a 2D structure) into a single 1D list. G. List Comp G11_list_comp_nested.py
89 Use a Dictionary Comprehension to swap the positions of keys and values for selected pairs in a dictionary. G. Dict Comp G12_dict_comp_swap_filter.py

Day 9: File Handling (Text I/O) (11 Programs)

Focus: Reading, writing, and basic analysis of text files.

# Program Description (Focus) Category Filename
90 Write and create a text file and input multi-line text into it from the user. H. File I/O H01_file_write_text.py
91 Read a text file line by line and print the content to the console. H. File I/O H02_file_read_line.py
92 Count Characters, Spaces, and Lines in a given text file. H. File Analysis H03_file_analyze_char.py
93 Copy the content of one text file into a brand new duplicate file. H. File I/O H04_file_copy.py
94 Append new content to the end of an existing text file. H. File I/O H05_file_append.py
95 Read a file containing numbers (one per line) and display the total sum and average. H. File Analysis H06_file_sum_avg_numbers.py
96 Read a file and replace all occurrences of a specific character (e.g., 'a') with another (e.g., 'x'). H. File Update H07_file_replace_char.py
97 Filter file content: Read a file with numbers (1 to 10), and write odd numbers to ODD.txt and even numbers to EVEN.txt. H. File Filter H08_file_filter_odd_even.py
98 Read a text file and count the number of uppercase, lowercase, and digit characters. H. File Analysis H09_file_count_case.py
99 Find the size of a file in bytes without reading its entire content (using os module). H. File Analysis H10_file_size.py
100 Read two filenames as command-line arguments and copy the content of the first file into the second. H. Advanced H11_file_cli_copy.py

Day 10: Advanced File Handling & String Analysis (12 Programs)

Focus: Word analysis, serialization, and advanced string problems.

# Program Description (Focus) Category Filename
101 Word Frequency Counter: Read a text file and compute the frequency of each word, displaying the output sorted alphabetically. I. Text Analysis I01_file_word_frequency.py
102 Read a file and store all found special characters (symbols) into a separate file. I. Text Analysis I02_file_extract_symbols.py
103 Read a file and find the employee who earns the highest salary based on a structured record (name, salary). I. Text Analysis I03_file_highest_salary.py
104 Binary File: Write structured data (e.g., a simple record) into a binary file using the pickle module. I. Binary I/O I04_file_write_binary.py
105 Binary File: Read the structured data written in the previous program from the binary file using pickle. I. Binary I/O I05_file_read_binary.py
106 Positioning: Demonstrate the use of seek(), tell(), and truncate() functions for file pointer management. I. Advanced I06_file_seek_tell.py
107 Read a list of names from the keyboard and store them into a text file. I. File I/O I07_file_store_names.py
108 Caesar Cipher Encryption: Implement the Caesar Cipher to encrypt an input string with a given shift key. I. String Crypto I08_caesar_cipher_enc.py
109 Caesar Cipher Decryption: Implement the Caesar Cipher to decrypt a given encrypted string with the known shift key. I. String Crypto I09_caesar_cipher_dec.py
110 Brackets/Parentheses Checker: Check if a string containing parentheses, braces, and brackets is balanced and properly nested. I. Data Struct I10_balanced_brackets.py
111 String to Integer (atoi): Implement a function to convert a string representation of an integer to its actual integer value, handling potential overflow, sign, and non-digit characters. I. Advanced I11_string_to_int.py
112 Validate an IP Address: Create a function to check if a given string is a valid IPv4 address. I. Advanced I12_validate_ip.py

Day 11: Exception Handling (11 Programs)

Focus: Robust code, error types, and custom exceptions.

# Program Description (Focus) Category Filename
113 Implement a basic try...except block to handle a ZeroDivisionError. J. Exception J01_except_zero_division.py
114 Implement a try...except block to handle a ValueError when converting a non-numeric input string to an integer. J. Exception J02_except_value_error.py
115 Use Multiple except blocks to handle different types of exceptions (TypeError, IndexError) in a single try block. J. Exception J03_except_multiple.py
116 Demonstrate the use of the finally block to execute cleanup code regardless of whether an exception occurred or not. J. Exception J04_except_finally.py
117 Use a try...except...else structure. The else block should execute only if no exception is raised. J. Exception J05_except_else.py
118 Safely Read Configuration File: Implement robust code using try...except to read a configuration file (config.txt) and handle FileNotFoundError. J. Robustness J06_except_file_not_found.py
119 Raise a custom exception (InvalidAgeError) using the raise keyword when the input age is negative or unrealistically high. J. Custom Except J07_except_raise_custom.py
120 Custom Exception Class: Define and use a custom exception class, inheriting from Exception, to provide meaningful error messages. J. Custom Except J08_except_custom_class.py
121 Handling API Errors (Mock): Simulate a robust function that handles potential dictionary KeyError or network-related exceptions during a mock API request. J. Robustness J09_except_api_robust.py
122 SSH Connection Failure (Mock): Simulate handling connection-related exceptions (like TimeoutError) when trying to connect to a remote server. J. Robustness J10_except_ssh_mock.py
123 Argument Validation: Use try...except to validate that a script received the correct number and type of command-line arguments. J. Robustness J11_except_validate_args.py

Day 12: Object-Oriented Programming (OOP) - Fundamentals (12 Programs)

Focus: Classes, Objects, Methods, and Constructors.

# Program Description (Focus) Category Filename
124 Define a simple Class and Object (Student class with name and roll_number attributes) and create an instance. K. OOP Basics K01_class_object.py
125 Implement a Constructor (__init__) in a class (Car) to initialize object attributes (color, model). K. OOP Basics K02_class_constructor.py
126 Add a Method to the Car class (e.g., start_engine()) that prints a message and access an attribute. K. OOP Basics K03_class_method.py
127 Create a Circle class with radius as an attribute and methods to calculate the Area and Circumference. K. OOP Basics K04_class_circle.py
128 Create a Bank class with methods for deposit and withdraw money, tracking the balance attribute. K. OOP Basics K05_class_bank_system.py
129 Define a class method (@classmethod) to create a new object using an alternative constructor (e.g., creating a Date object from a string). K. OOP Basics K06_class_classmethod.py
130 Define a static method (@staticmethod) that performs a utility function related to the class but doesn't need self or cls (e.g., is_working_day). K. OOP Basics K07_class_staticmethod.py
131 Demonstrate the use of the __str__ magic method for a user-friendly string representation of an object. K. OOP Basics K08_class_str_repr.py
132 Implement the Vending Machine as a class, managing inventory (dictionary) and handling user transactions. K. OOP Project K09_class_vending_machine.py
133 Create a Student class and use a dictionary of objects to store records for multiple students. K. OOP Data K10_class_dict_of_objects.py
134 Implement the Binary Search algorithm as a method within a dedicated Search class. K. OOP Algo K11_class_binary_search.py
135 Overload comparison operators (__lt__, __gt__, __eq__) in a class (e.g., comparing two Point objects based on distance from origin). K. OOP Advanced K12_class_operator_overload.py

Day 13: Object-Oriented Programming (OOP) - Inheritance & Polymorphism (11 Programs)

Focus: Inheritance types, method overriding, and abstraction.

# Program Description (Focus) Category Filename
136 Demonstrate Single Inheritance: Create a Vehicle base class and a Car derived class. L. Inheritance L01_single_inheritance.py
137 Demonstrate Multilevel Inheritance: Animal $\to$ Dog $\to$ Puppy. L. Inheritance L02_multilevel_inheritance.py
138 Demonstrate Hierarchical Inheritance: One base class (Shape) inherited by multiple derived classes (Circle, Square). L. Inheritance L03_hierarchical_inheritance.py
139 Demonstrate Polymorphism using Method Overriding: Base class speak() method is overridden in derived classes (Dog, Cat). L. Polymorphism L04_method_overriding.py
140 Demonstrate Polymorphism using Duck Typing (two unrelated classes having the same method name, fly()). L. Polymorphism L05_duck_typing.py
141 Simulate Method Overloading using default arguments or by checking argument types/counts within a single Python method. L. Polymorphism L06_method_overloading.py
142 Use the super() function in the derived class constructor (__init__) to call the parent class constructor. L. Inheritance L07_super_function.py
143 Implement an Abstract Base Class (ABC) (Shape) that defines an abstract method (area()) which must be implemented by subclasses. L. Abstraction L08_abstract_class.py
144 Demonstrate Data Hiding/Encapsulation using single (_variable) and double (__variable) leading underscores. L. Encapsulation L09_data_encapsulation.py
145 Create a Mixin Class (LoggableMixin) to add reusable logging functionality to multiple, unrelated classes. L. OOP Advanced L10_mixin_class.py
146 Implement a basic Adapter Design Pattern where an existing class's interface is converted to another one expected by a client. L. OOP Design L11_adapter_pattern.py

Day 14: Data Structures - Arrays/Lists (12 Programs)

Focus: Fundamental list operations and search algorithms.

# Program Description (Focus) Category Filename
147 Input $N$ elements into a list and print them, then implement a Linear Search to find a target value. M. List Basics M01_list_linear_search.py
148 Input $N$ elements and find the sum and average of all elements in the list. M. List Basics M02_list_sum_avg.py
149 Find the Largest (Maximum) and Smallest (Minimum) value from a list of $N$ elements. M. List Basics M03_list_max_min.py
150 Count how many elements in a list are positive, negative, even, and odd. M. List Logic M04_list_count_stats.py
151 Copy the elements of one list into a new list. (Shallow vs. Deep copy explanation in comments). M. List Ops M05_list_copy_elements.py
152 Arrange the elements of a list in reverse order (without using list.reverse() or slicing). M. List Ops M06_list_reverse_manual.py
153 Insert an element into the list at a user-defined position (index). M. List Ops M07_list_insert_at_pos.py
154 Delete an element from the list at a user-defined position (index). M. List Ops M08_list_delete_at_pos.py
155 Merge two lists ($A$ and $B$) into a third, combined list ($C$). M. List Ops M09_list_merge_two.py
156 Perform vector addition on two lists of equal size $C = A + B$. M. List Ops M10_list_vector_add.py
157 Implement the Binary Search algorithm without using recursion. M. Search M11_binary_search_iter.py
158 Implement the Binary Search algorithm using recursion. M. Search M12_binary_search_rec.py

Day 15: Matrices (2D Lists) (11 Programs)

Focus: Representing and manipulating 2D data structures.

# Program Description (Focus) Category Filename
159 Create and print a simple $3 \times 3$ matrix (nested list). N. Matrix Basics N01_matrix_3x3_print.py
160 Add two matrices (of the same dimensions, e.g., $3 \times 3$). N. Matrix Ops N02_matrix_add.py
161 Subtract two matrices (of the same dimensions). N. Matrix Ops N03_matrix_subtract.py
162 Multiply two matrices ($A \times B$). Include validation for compatible dimensions. N. Matrix Ops N04_matrix_multiply.py
163 Find the Transpose of a given matrix. N. Matrix Ops N05_matrix_transpose.py
164 Calculate the Sum of all elements in a matrix. N. Matrix Ops N06_matrix_sum_elements.py
165 Calculate the Sum of elements along the main diagonal of a square matrix. N. Matrix Ops N07_matrix_diag_sum.py
166 Create a function to initialize a matrix with random values. N. Matrix Utility N08_matrix_random_init.py
167 Multiply two matrices using list comprehensions for a more concise solution. N. Matrix Comp N09_matrix_multiply_comp.py
168 Matrix Rotation: Rotate a square matrix 90 degrees clockwise in place. N. Matrix Advanced N10_matrix_rotate_90.py
169 Saddle Point: Find a Saddle Point in a matrix (an element that is the minimum in its row and maximum in its column). N. Matrix Advanced N11_matrix_saddle_point.py

Day 16: Sorting Algorithms (11 Programs)

Focus: Implementing classic sorting techniques from scratch.

# Program Description (Focus) Category Filename
170 Implement Bubble Sort to arrange a list in ascending order. O. Sorting O01_sort_bubble_asc.py
171 Implement Bubble Sort to arrange a list in descending order. O. Sorting O02_sort_bubble_desc.py
172 Implement Selection Sort to arrange a list in ascending order. O. Sorting O03_sort_selection.py
173 Implement Insertion Sort to arrange a list in ascending order. O. Sorting O04_sort_insertion.py
174 Implement Quick Sort (choose pivot, partition, recurse) to arrange a list in ascending order. O. Sorting O05_sort_quick.py
175 Implement Merge Sort (divide and conquer) to arrange a list in ascending order. O. Sorting O06_sort_merge.py
176 Implement Shell Sort to arrange a list in ascending order. O. Sorting O07_sort_shell.py
177 Sort a list of strings in descending order (lexicographically). O. Sorting O08_sort_strings_desc.py
178 Counting Sort: Implement a basic counting sort algorithm for a list of small positive integers. O. Sorting O09_sort_counting.py
179 Radix Sort: Implement Radix Sort for sorting a list of integers. O. Sorting O10_sort_radix.py
180 Sort Objects: Sort a list of custom objects (e.g., Employee objects) based on an attribute (e.g., salary) using the key argument. O. Sorting O11_sort_objects_key.py

Day 17: Data Structures - Stack (12 Programs)

Focus: LIFO principle and classic Stack applications.

# Program Description (Focus) Category Filename
181 Implement a Stack using a Python list with basic push, pop, and display operations. P. Stack P01_stack_basic_list.py
182 Add peek (view top element without removal) and is_empty methods to the Stack implementation. P. Stack P02_stack_peek_empty.py
183 Write a program to reverse a string using a Stack data structure. P. Stack App P03_stack_reverse_string.py
184 Use a Stack to check if a sequence of parentheses/brackets is Balanced. (Revisiting I10 with Stack implementation). P. Stack App P04_stack_balanced_brackets.py
185 Calculate the Factorial of a number using the Stack concept (simulating recursion/call stack). P. Stack App P05_stack_factorial.py
186 Calculate the Power of a Number ($x^y$) using the Stack concept. P. Stack App P06_stack_power_of_num.py
187 Convert an Infix expression to a Postfix expression using a Stack. P. Stack Adv P07_stack_infix_to_postfix.py
188 Evaluate a Postfix expression using a Stack. P. Stack Adv P08_stack_evaluate_postfix.py
189 Find the Next Greater Element for every element in a list using a Stack. P. Stack Adv P09_stack_next_greater.py
190 Implement a Stack that supports push, pop, and also a method getMin() that returns the minimum element in $O(1)$ time. P. Stack Adv P10_stack_get_min_O1.py
191 Implement a Stack using the collections.deque module for faster append/pop operations. P. Stack Impl P11_stack_deque.py
192 Implement a Limited-Size Stack that raises an exception when trying to push onto a full stack. P. Stack Impl P12_stack_limited_size.py

Day 18: Data Structures - Queue (11 Programs)

Focus: FIFO principle, deque, and advanced Queue types.

# Program Description (Focus) Category Filename
193 Implement a simple Queue using a Python list with insert (enqueue) and delete (dequeue) operations. Q. Queue Q01_queue_basic_list.py
194 Implement a Queue using the collections.deque for efficient FIFO operations. Q. Queue Impl Q02_queue_deque.py
195 Implement a Simple Queue using a Python class structure with methods: insert(), delete(), display(), and is_empty(). Q. Queue Q03_queue_class.py
196 Implement a Circular Queue using a list and indices to handle wraparound. Q. Queue Adv Q04_queue_circular.py
197 Implement a Priority Queue using the heapq module. Insert elements with priorities and extract the highest priority element. Q. Queue Adv Q05_queue_priority_heapq.py
198 Use a Queue to perform Breadth-First Search (BFS) on a simple mock graph (adjacency list). Q. Queue App Q06_queue_bfs_mock.py
199 Implement a Double-Ended Queue (Deque) using collections.deque and demonstrate adding/removing from both ends. Q. Queue Adv Q07_queue_deque_all_ops.py
200 Queue from Stacks: Implement a Queue data structure using two Stacks. Q. Queue Impl Q08_queue_from_stacks.py
201 Circular Tour Problem: Given a list of petrol pumps, find the starting point of a circular tour using a Queue/loop. Q. Queue Adv Q09_queue_circular_tour.py
202 First Non-Repeating Character in a Stream: Use a Queue to efficiently find the first non-repeating character in a mock stream of characters. Q. Queue Adv Q10_queue_first_non_repeat.py
203 Use the multiprocessing.Queue to demonstrate safe inter-process communication between a producer and a consumer function. Q. Queue Adv Q11_queue_multiprocessing.py

Day 19: Data Structures - Singly Linked List (12 Programs)

Focus: Node structures, traversal, and core list manipulations.

# Program Description (Focus) Category Filename
204 Define a Node class and a basic SinglyLinkedList class to create and display a linked list. R. SLL Basics R01_sll_create_display.py
205 Implement insertion at the beginning (insert_at_start) of the Singly Linked List. R. SLL Ops R02_sll_insert_start.py
206 Implement insertion at the end (insert_at_end) of the Singly Linked List. R. SLL Ops R03_sll_insert_end.py
207 Implement insertion after a specific node (insert_after_node). R. SLL Ops R04_sll_insert_after.py
208 Implement deletion of the first node (delete_start). R. SLL Ops R05_sll_delete_start.py
209 Implement deletion of the last node (delete_end). R. SLL Ops R06_sll_delete_end.py
210 Implement deletion of a node by value (delete_by_value). R. SLL Ops R07_sll_delete_by_value.py
211 Count the number of nodes available in the linked list. R. SLL Utility R08_sll_count_nodes.py
212 Reverse the Singly Linked List (iterative approach). R. SLL Adv R09_sll_reverse.py
213 Find the Middle Node of the linked list in a single pass. R. SLL Adv R10_sll_find_middle.py
214 Detect if the linked list contains a Cycle (loop) using Floyd's Tortoise and Hare algorithm. R. SLL Adv R11_sll_detect_cycle.py
215 Given two non-empty linked lists representing two non-negative integers (digits stored in reverse order), add the two numbers and return the sum as a new linked list. R. SLL Leet R12_sll_add_two_numbers.py

Day 20: Data Structures - Doubly and Circular Linked Lists (11 Programs)

Focus: Two-way traversal and circular connections.

# Program Description (Focus) Category Filename
216 Define a DoublyNode class and a basic DoublyLinkedList class to create and display a Doubly Linked List (DLL). S. DLL Basics S01_dll_create_display.py
217 Implement insertion at the beginning (insert_at_start) of the DLL. S. DLL Ops S02_dll_insert_start.py
218 Implement insertion at the end (insert_at_end) of the DLL. S. DLL Ops S03_dll_insert_end.py
219 Implement insertion before a specific node (insert_before_node) in the DLL. S. DLL Ops S04_dll_insert_before.py
220 Implement deletion of a node by value in the DLL. S. DLL Ops S05_dll_delete_by_value.py
221 Define a CircularSinglyLinkedList (CSLL) to create and display a circular linked list. S. CLL Basics S06_csll_create_display.py
222 Implement insertion at the beginning of the CSLL. S. CLL Ops S07_csll_insert_start.py
223 Implement insertion at the end of the CSLL. S. CLL Ops S08_csll_insert_end.py
224 Implement insertion after a specific node in the CSLL. S. CLL Ops S09_csll_insert_after.py
225 Implement deletion of a node by value in the CSLL. S. CLL Ops S10_csll_delete_by_value.py
226 Traverse the DLL in reverse order starting from the tail node. S. DLL Utility S11_dll_reverse_traverse.py

Day 21: Data Structures - Trees (11 Programs)

Focus: Binary Tree structure and various traversal algorithms.

# Program Description (Focus) Category Filename
227 Define a Node class and a basic BinaryTree class to create a simple binary tree. T. Tree Basics T01_tree_create_basic.py
228 Implement In-order Traversal (Left $\to$ Root $\to$ Right) on a Binary Tree (recursive). T. Tree Traversal T02_tree_traverse_inorder.py
229 Implement Pre-order Traversal (Root $\to$ Left $\to$ Right) on a Binary Tree (recursive). T. Tree Traversal T03_tree_traverse_preorder.py
230 Implement Post-order Traversal (Left $\to$ Right $\to$ Root) on a Binary Tree (recursive). T. Tree Traversal T04_tree_traverse_postorder.py
231 Implement Level-order Traversal (Breadth-First) on a Binary Tree using a Queue. T. Tree Traversal T05_tree_traverse_level.py
232 Implement the insertion of a node into a Binary Search Tree (BST). T. BST Ops T06_bst_insert_node.py
233 Implement the search for a specific value in a BST. T. BST Ops T07_bst_search_value.py
234 Implement the calculation of the Height of the Tree (maximum depth). T. Tree Utility T08_tree_calculate_height.py
235 Implement the calculation of the Total Number of Nodes in the Tree. T. Tree Utility T09_tree_count_nodes.py
236 Implement the deletion of a node from a BST, handling 0, 1, and 2 children cases. T. BST Adv T10_bst_delete_node.py
237 Check if a given Binary Tree is a valid Binary Search Tree (BST). T. Tree Adv T11_tree_is_bst.py

Day 22: Advanced Algorithms & Math (11 Programs)

Focus: Fundamental mathematical algorithms and classic coding problems.

# Program Description (Focus) Category Filename
238 Find the Greatest Common Divisor (GCD) of two numbers using the Euclidean algorithm (recursive). U. Math U01_math_gcd_recursive.py
239 Find the Greatest Common Divisor (GCD) of two numbers using an iterative approach. U. Math U02_math_gcd_iterative.py
240 Find the Least Common Multiple (LCM) of two numbers. U. Math U03_math_lcm.py
241 Find the Smallest Common Divisor (SCD) for a given number (this is essentially the smallest prime factor, or 1 if prime). U. Math U04_math_smallest_divisor.py
242 Check if a given number is a Perfect Number (sum of its proper positive divisors is equal to the number itself). U. Math U05_math_perfect_number.py
243 Find the Missing Number in a sequence of $N$ consecutive numbers (e.g., in [1, 2, 4, 5], find 3). U. Algo U06_algo_missing_number.py
244 Find the Kth Largest Element in a list (without sorting the entire list). U. Algo U07_algo_kth_largest.py
245 Find the Majority Element in a list (the one that appears more than $\lfloor n/2 \rfloor$ times). U. Algo U08_algo_majority_element.py
246 Implement Climbing Stairs: Given $N$ stairs, find the number of distinct ways to climb to the top if you can take 1 or 2 steps at a time. U. Algo U09_algo_climbing_stairs.py
247 Implement the Coin Change Problem: Given a set of coin denominations and a total amount, find the minimum number of coins needed to make up that amount (Dynamic Programming approach). U. Algo Adv U10_algo_coin_change.py
248 Container With Most Water: Find two lines in a list that, along with the x-axis, form a container that holds the most water. U. Algo Adv U11_algo_container_water.py

Day 23: Recursion and Backtracking (11 Programs)

Focus: Recursive thinking and exploration algorithms.

# Program Description (Focus) Category Filename
249 Find the maximum and minimum number from a list using recursion. V. Recursion V01_rec_max_min_list.py
250 Calculate the power of a number ($x^y$) using recursion. V. Recursion V02_rec_power_of_num.py
251 Reverse a given integer using recursion (digit manipulation). V. Recursion V03_rec_reverse_integer.py
252 Reverse a string using recursion. V. Recursion V04_rec_reverse_string.py
253 Check for Palindrome (string) using recursion. V. Recursion V05_rec_palindrome_check.py
254 Generate All Permutations of a list of unique numbers using backtracking. V. Backtracking V06_back_generate_permutations.py
255 Generate All Subsets (Power Set) of a list of numbers using backtracking. V. Backtracking V07_back_generate_subsets.py
256 Implement the N-Queens Problem using backtracking to find all safe placements of $N$ queens on an $N \times N$ chessboard. V. Backtracking V08_back_n_queens.py
257 Implement a basic Sudoku Solver using backtracking. V. Backtracking V09_back_sudoku_solver.py
258 Letter Combinations of a Phone Number: Given a string containing digits from 2-9, return all possible letter combinations that the number could represent. V. Backtracking V10_back_phone_combinations.py
259 Implement Depth-First Search (DFS) traversal on a simple graph using recursion. V. Recursion App V11_rec_dfs_mock.py

Day 24: Project 1: Command Line Interface (CLI) Games (11 Programs)

Focus: Applying basic logic to build fun, interactive terminal applications.

# Program Description (Focus) Category Filename
260 Band Name Generator: CLI script that asks for a city name and a pet name, then combines them to suggest a band name. W. CLI Project W01_cli_band_name_gen.py
261 Tip Calculator: CLI script that takes total bill, tip percentage, and number of people, then calculates how much each person pays. W. CLI Project W02_cli_tip_calculator.py
262 Rock, Paper, Scissors: A CLI game where the user plays against the computer. W. CLI Game W03_cli_rock_paper_scissors.py
263 Treasure Island - Choose Your Own Adventure: A simple interactive story game using conditional logic and user input. W. CLI Game W04_cli_treasure_island.py
264 PyPassword Generator: CLI script that generates a random, strong password based on user-specified length and inclusion of letters, symbols, and numbers. W. CLI Project W05_cli_password_generator.py
265 Number Guessing Game: CLI game where the computer selects a random number and the user has limited attempts to guess it. W. CLI Game W06_cli_number_guesser.py
266 Blackjack (Simplified): A text-based, simplified version of the card game Blackjack. W. CLI Game W07_cli_blackjack_simple.py
267 Higher Lower Game: CLI game where the user guesses which of two entities has a higher attribute (e.g., follower count). W. CLI Game W08_cli_higher_lower.py
268 Text-Based Tic Tac Toe: A simple 3x3 grid game played between two human players in the terminal. W. CLI Game W09_cli_tictactoe.py
269 Secret Auction: CLI script that uses a dictionary to track bids and finds the highest bidder (blind auction). W. CLI Project W10_cli_secret_auction.py
270 Text to Morse Code Converter: A script that takes a string input and converts it to Morse code using a dictionary lookup. W. CLI Project W11_cli_morse_converter.py

Day 25: Project 2: Command Line Interface (CLI) Applications (11 Programs)

Focus: Building utility scripts and refactoring with OOP principles.

# Program Description (Focus) Category Filename
271 Calculator (Advanced CLI): A script that implements recursive calculation capabilities (allows continuous operations). X. CLI App X01_cli_calculator_adv.py
272 The Coffee Machine (CLI): A simulation of a coffee machine that manages resources (water, milk, coffee) and handles transactions. X. CLI App X02_cli_coffee_machine.py
273 OOP Version of the Coffee Machine: Reimplement the coffee machine using Classes and Objects for better structure and state management. X. OOP App X03_oop_coffee_machine.py
274 The Quiz Game (CLI/OOP): An OOP-based true/false quiz game that loads questions from a list and tracks the user's score. X. OOP App X04_oop_quiz_game.py
275 Disappearing Text Writing App (CLI concept): A function that starts a timer; if the user stops typing for 5 seconds, all current text is cleared. X. CLI App X05_cli_disappearing_text.py
276 Automated Folder Backup (Basic os): A script using the os module to copy a source directory's files to a destination directory. X. System Tool X06_tool_folder_backup.py
277 System Monitoring Mock: A script that periodically checks mock server health statuses (OK/Error) and logs the output. X. System Tool X07_tool_system_monitor_mock.py
278 Cleaning Up Old Log Files: A script using the os and datetime modules to delete files in a specified directory that are older than 30 days. X. System Tool X08_tool_clean_old_logs.py
279 Automating Git Status Check: A script that iterates through a list of directories and uses the subprocess module to run git status in each. X. System Tool X09_tool_git_status.py
280 Validate YAML/JSON Configuration: A script that uses the json module to load and validate the syntax of a given JSON file. X. System Tool X10_tool_validate_json.py
281 Calculate File Checksum (SHA-256): A script using the hashlib module to calculate and print the SHA-256 hash of a specified file. X. System Tool X11_tool_file_checksum.py

Day 26: Project 3: GUI Development with Tkinter (12 Programs)

Focus: Building desktop apps with simple graphical user interfaces.

# Program Description (Focus) Category Filename
282 Mile to Kilometer Converter: A simple Tkinter GUI with an input box, a button, and a label to perform the conversion. Y. Tkinter GUI Y01_tk_mile_to_km_converter.py
283 Simple GUI Window: Create a basic Tkinter window with a title, size, and a central label. Y. Tkinter GUI Y02_tk_basic_window.py
284 Button and Event Handling: Create a button that changes a label's text when clicked. Y. Tkinter GUI Y03_tk_button_event.py
285 Input/Entry Widget: Create a Tkinter entry field and retrieve the text entered by the user. Y. Tkinter GUI Y04_tk_entry_input.py
286 Grid Layout Manager: Arrange widgets (labels, buttons, inputs) in a responsive grid structure. Y. Tkinter GUI Y05_tk_grid_layout.py
287 Pomodoro Timer (Basic): A Tkinter app with a Start/Stop button and a timer display (no breaks yet). Y. Tkinter Project Y06_tk_pomodoro_basic.py
288 Pomodoro Timer (Advanced): Add functionality for Work, Short Break, and Long Break periods. Y. Tkinter Project Y07_tk_pomodoro_adv.py
289 Password Manager (Data Entry): Tkinter app that collects website, email, and password, and prints the data to the console. Y. Tkinter Project Y08_tk_password_manager_entry.py
290 Password Manager (JSON Storage): Update the manager to save credentials securely to a JSON file. Y. Tkinter Project Y09_tk_password_manager_json.py
291 Password Manager (Search): Add a search button to retrieve and display credentials for a given website from the JSON file. Y. Tkinter Project Y10_tk_password_manager_search.py
292 Flash Card App (GUI Logic): Tkinter app that displays a word on the front, flips to show the translation after a delay, and presents the next card. Y. Tkinter Project Y11_tk_flash_card_logic.py
293 Image Watermarking App (Basic): Tkinter app that allows a user to upload an image and add a simple text watermark to it. Y. Tkinter Project Y12_tk_image_watermarker.py

Day 27: Project 4: Turtle Graphics (11 Programs)

Focus: Using the Turtle library for drawing, animations, and game development.

# Program Description (Focus) Category Filename
294 Basic Turtle Drawing: Create a turtle window and draw a simple square shape. Z. Turtle Graphics Z01_turtle_draw_square.py
295 Drawing Dashed Line: Use the penup() and pendown() methods to draw a dashed line. Z. Turtle Graphics Z02_turtle_dashed_line.py
296 Drawing Geometric Shapes: Use a loop to draw an equilateral triangle, square, pentagon, hexagon, etc., up to a decagon. Z. Turtle Graphics Z03_turtle_geometric_shapes.py
297 Random Walk: Make the turtle move in random directions and draw with random colors. Z. Turtle Graphics Z04_turtle_random_walk.py
298 Spirograph/Hirst Painting: Draw a series of interlocking circles with varying colors to create a complex pattern (like a Hirst spot painting). Z. Turtle Graphics Z05_turtle_spirograph.py
299 Turtle Racing Game (Setup): Create multiple turtle objects, assign them random colors, and set them up at a starting line. Z. Turtle Project Z06_turtle_race_setup.py
300 Turtle Racing Game (Logic): Implement the race logic where each turtle moves a random distance per turn, and declare the winner. Z. Turtle Project Z07_turtle_race_logic.py
301 Snake Game (Part 1 - Head & Movement): Create the snake's head and implement basic forward movement and turning controls (keyboard input). Z. Turtle Project Z08_turtle_snake_part1.py
302 Snake Game (Part 2 - Body & Food): Add the body segments, segment following logic, and create food that the snake can consume. Z. Turtle Project Z09_turtle_snake_part2.py
303 Pong Game (Setup): Create the screen, paddles, ball, and scoreboards. Z. Turtle Project Z10_turtle_pong_setup.py
304 Pong Game (Physics): Implement ball movement, wall collision detection, and paddle collision detection. Z. Turtle Project Z11_turtle_pong_physics.py

Day 28: Project 5: CSV and Data Analysis Basics (11 Programs)

Focus: Handling structured data using the csv module and introducing pandas.

# Program Description (Focus) Category Filename
305 Reading a CSV File: Use Python's built-in csv module to read data from a CSV file. AA. CSV AA01_csv_read_basic.py
306 Reading CSV with pandas: Use the pandas library to read and display the head of a CSV file (e.g., weather data). AA. Pandas AA02_pd_read_csv.py
307 Data Series Access: Using Pandas, access and print a single column (Series) from the loaded data. AA. Pandas AA03_pd_access_series.py
308 Data Filtering: Use Pandas to filter the DataFrame based on a condition (e.g., all rows where temperature is above 20 degrees). AA. Pandas AA04_pd_filter_data.py
309 Data Conversion: Use Pandas to calculate the mean (average) of a numeric column. AA. Pandas AA05_pd_calculate_mean.py
310 Creating a DataFrame: Create a Pandas DataFrame from a Python dictionary and save it to a new CSV file. AA. Pandas AA06_pd_create_save_csv.py
311 US States Game (Data Prep): Load the US states CSV and create a dictionary mapping state names to their coordinates. AA. Project AA07_us_states_data_prep.py
312 US States Game (Turtle Integration): Use the Turtle library to display the map image and place the user's correct guess name at the correct coordinate. AA. Project AA08_us_states_turtle_draw.py
313 NATO Phonetic Alphabet Generator (Setup): Load a CSV file containing letter-to-code mapping and create a dictionary from it. AA. Project AA09_nato_data_load.py
314 NATO Phonetic Alphabet Generator (Logic): Take a word input from the user and convert it into a list of NATO phonetic codes (e.g., "W-H-I-S-K-E-Y"). AA. Project AA10_nato_generator.py
315 Error Handling in Pandas: Use try...except to handle a KeyError when trying to access a non-existent column in a DataFrame. AA. Pandas AA11_pd_except_keyerror.py

Day 29: Project 6: Automated Email and HTTP Requests (12 Programs)

Focus: Networking, sending emails (smtplib), and making HTTP requests (requests).

# Program Description (Focus) Category Filename
316 Basic Email Sending (smtplib): Use smtplib to connect to an SMTP server (e.g., Gmail) and send a simple plain-text email. BB. Networking BB01_smtp_send_basic_email.py
317 Automated Birthday Wisher (Data Load): Use Pandas to load a CSV of names and birthdays. BB. Email App BB02_bday_wisher_data.py
318 Automated Birthday Wisher (Logic): Check if today matches any birthday in the data and send a personalized email using a random quote/template. BB. Email App BB03_bday_wisher_logic.py
319 Basic GET Request (requests): Use the requests library to make a simple GET request to a public API (e.g., JSON Placeholder) and print the status code and text. BB. Requests BB04_req_basic_get.py
320 ISS Overhead Notifier (API Call): Query the ISS position API to get the current location and next overhead time for a given latitude/longitude. BB. Requests App BB05_req_iss_api.py
321 ISS Overhead Notifier (Full App): Combine the API call with smtplib to send an email notification when the ISS is overhead and it is dark outside. BB. Requests App BB06_req_iss_notifier.py
322 Quizzler App (API Fetch): Use requests to fetch 10 random True/False questions from the Open Trivia Database API. BB. Requests App BB07_req_trivia_fetch.py
323 Rain Alert App (One Call API): Use a weather API (mock) to check the forecast for the next 12 hours. BB. Requests App BB08_req_weather_api.py
324 Rain Alert App (Twilio SMS Mock): If rain is predicted, use Twilio (mock) to send an SMS alert (or print the message to console). BB. Requests App BB09_req_twilio_mock.py
325 Checking the Health of a Web Service: Use requests to make a GET request and check if the HTTP status code is 200 (OK). BB. DevOps BB10_req_check_service_health.py
326 Automating GitHub: Creating a New Repository (Mock): Simulate a POST request to the GitHub API to create a new repo. BB. Requests Adv BB11_req_github_mock_post.py
327 Sending Notifications to Slack via Webhooks (Mock): Use requests to send a formatted JSON payload to a mock Slack webhook URL. BB. DevOps BB12_req_slack_webhook.py

Day 30: Project 7: Web Scraping - BeautifulSoup (11 Programs)

Focus: Parsing HTML content to extract meaningful data.

# Program Description (Focus) Category Filename
328 Basic HTML Parsing (bs4): Use BeautifulSoup to parse a local HTML file (mock content) and print the title tag. CC. Web Scraping CC01_bs4_basic_parse.py
329 Find Element by Tag: Use find() to locate and print the content of the first <p> tag in a mock HTML page. CC. Web Scraping CC02_bs4_find_tag.py
330 Find All Elements: Use find_all() to extract all anchor tags (<a>) and print their text content and href attributes. CC. Web Scraping CC03_bs4_find_all_links.py
331 Find Element by Class/ID: Use selectors to find an element with a specific CSS class or ID. CC. Web Scraping CC04_bs4_find_by_selector.py
332 CSS Selector (Advanced): Use the select() method to find all elements matching a complex CSS selector (e.g., div > p.highlight). CC. Web Scraping CC05_bs4_css_selector.py
333 Top 100 Movies Scraper (Data Fetch): Use requests to fetch the HTML content of a public list of top 100 movies. CC. Project CC06_bs4_movies_fetch.py
334 Top 100 Movies Scraper (Data Extract): Use BeautifulSoup to extract the title and year of all 100 movies. CC. Project CC07_bs4_movies_extract.py
335 Amazon Price Tracker (Setup): Scrape the current price of a single product page (mock data) and convert the string price to a float. CC. Project CC08_bs4_price_tracker_extract.py
336 Amazon Price Tracker (Alert Logic): If the scraped price is below a target price, send an email alert using smtplib (mock). CC. Project CC09_bs4_price_tracker_alert.py
337 Extracting Table Data: Scrape a mock HTML table and extract the content row by row into a list of lists. CC. Web Scraping CC10_bs4_extract_table.py
338 Handling Empty/Missing Tags: Implement robust error handling (e.g., checking if the result of find() is None) when scraping elements that might not exist. CC. Web Scraping CC11_bs4_robust_handling.py

Day 31: Project 8: Web Automation - Selenium (12 Programs)

Focus: Automating browser interaction for complex tasks.

# Program Description (Focus) Category Filename
339 Basic WebDriver Setup: Set up the Selenium WebDriver (mocking the driver manager) and open a website (e.g., Python.org). DD. Selenium DD01_selenium_basic_setup.py
340 Find Element by ID: Use find_element(By.ID, ...) to locate and print the text of an element on a mock page. DD. Selenium DD02_selenium_find_by_id.py
341 Find Element by CSS Selector: Use find_element(By.CSS_SELECTOR, ...) to locate an element using a CSS selector path. DD. Selenium DD03_selenium_find_by_css.py
342 Find Elements by XPath: Use find_elements(By.XPATH, ...) to locate multiple elements using an XPath expression. DD. Selenium DD04_selenium_find_by_xpath.py
343 Clicking and Interacting: Navigate to a mock login page, find the login button, and click it. DD. Selenium DD05_selenium_click_button.py
344 Form Submission: Locate a search bar/input field, type text into it (send_keys), and submit the form. DD. Selenium DD06_selenium_form_submit.py
345 Automated Gym Booking Bot (Mock Login): Simulate the process of logging into a system with credentials. DD. Project DD07_selenium_gym_login_mock.py
346 Automated Gym Booking Bot (Booking Logic): After logging in, navigate to a booking calendar and click a specific time slot button. DD. Project DD08_selenium_gym_booking_logic.py
347 Auto Tinder Swiping Bot (Mock): Simulate finding and clicking the 'like' or 'dislike' buttons repeatedly. DD. Project DD09_selenium_tinder_swipe.py
348 Automated Internet Speed Complaint Bot: Log in to a speed test site, find the current speeds, and fill out a complaint form if speeds are too low. DD. Project DD10_selenium_speed_complaint.py
349 Automating the Google Dinosaur Game: Use Selenium to detect obstacles and send a jump command (spacebar). DD. Project DD11_selenium_dino_bot.py
350 Handling Waits: Use Explicit Waits (WebDriverWait) to wait for a specific element to be clickable or visible before interacting with it. DD. Selenium Adv DD12_selenium_explicit_wait.py

Day 32: Project 9: Web Development - Flask Fundamentals (11 Programs)

Focus: Building small web applications and understanding routing and templates.

# Program Description (Focus) Category Filename
351 First Flask Server: Create a minimal Flask application that runs on localhost:5000 and returns a simple "Hello World!" string. EE. Flask Basics EE01_flask_hello_world.py
352 Basic HTML Response: Modify the Flask route to return a full HTML page (basic structure with a header). EE. Flask Basics EE02_flask_html_response.py
353 URL Variables: Create a route that takes a variable (e.g., name) from the URL path (/user/<name>) and prints it on the page. EE. Flask Basics EE03_flask_url_variable.py
354 HTML Templating (render_template): Use the render_template function to display a separate HTML template file (mocking Jinja). EE. Flask Templating EE04_flask_render_template.py
355 Higher or Lower Web Game (Setup): Flask app that randomly generates a number (0-9) when the route is accessed. EE. Flask Project EE05_flask_high_low_setup.py
356 Higher or Lower Web Game (Logic): Add logic to the route to accept a user guess from the URL and compare it to the random number, providing feedback. EE. Flask Project EE06_flask_high_low_logic.py
357 Digital Name Card: A Flask route that renders a detailed HTML template to serve as a digital business card. EE. Flask Project EE07_flask_name_card.py
358 Handling POST Requests: Create a route that can handle a submitted HTML form using the request.form object. EE. Flask Forms EE08_flask_handle_post.py
359 A Templated Blog (Data): Create a Flask app that reads mock blog post data from a Python list of dictionaries and passes it to the template. EE. Flask Project EE09_flask_templated_blog.py
360 Functional Blog Contact Form: Create a Flask route that validates form data and "sends" a mock email when the contact form is submitted. EE. Flask Forms EE10_flask_contact_form.py
361 Error Handling (404): Implement a custom error handler for the HTTP 404 (Not Found) status code. EE. Flask Adv EE11_flask_error_handler.py

Day 33: Project 10: Flask - Database & Advanced Features (11 Programs)

Focus: Implementing CRUD operations and user authentication with Flask extensions.

# Program Description (Focus) Category Filename
362 Virtual Bookshelf (Setup - Flask-SQLAlchemy): Configure Flask-SQLAlchemy and define a simple Book model with id and title. FF. Flask DB FF01_flask_db_setup.py
363 Create/Read (CRUD - Add): Implement a route to Add (Create) a new book entry to the SQLite database. FF. Flask DB FF02_flask_db_crud_create.py
364 Create/Read (CRUD - View): Implement a route to View (Read) all books from the database. FF. Flask DB FF03_flask_db_crud_read.py
365 Update (CRUD - Edit): Implement a route to Edit (Update) the title of an existing book by its ID. FF. Flask DB FF04_flask_db_crud_update.py
366 Delete (CRUD - Remove): Implement a route to Delete a book entry by its ID. FF. Flask DB FF05_flask_db_crud_delete.py
367 Top Movies Website (Full CRUD): Design a single-page Flask app with a form and list to manage a list of favorite movies. FF. Flask Project FF06_flask_crud_movies.py
368 Cafe & Wifi API (Setup): Flask app that returns a simple list of mock cafes as JSON data when accessing a /all route. FF. Flask API FF07_flask_api_read.py
369 Cafe & Wifi API (Search): Implement a /search route that accepts a query parameter (e.g., location) and returns matching cafe data. FF. Flask API FF08_flask_api_search.py
370 Authentication with Flask-Login (Setup): Configure Flask-Login and create a simple User class for basic user management. FF. Flask Auth FF09_flask_auth_setup.py
371 Authentication with Flask-Login (Login/Logout): Implement /login and /logout routes using Flask-Login functions. FF. Flask Auth FF10_flask_auth_login.py
372 Authentication with Flask-Login (@login_required): Protect a sensitive route using the @login_required decorator. FF. Flask Auth FF11_flask_auth_protect.py

Day 34: Data Analysis - Pandas & Matplotlib (12 Programs)

Focus: Manipulating structured data and visualizing results.

# Program Description (Focus) Category Filename
373 Pandas Basics: Create a DataFrame from a dictionary and inspect its column data types (.dtypes). GG. Pandas Basics GG01_pd_create_and_inspect.py
374 Data Cleaning: Handle Missing Data (NaN values) by dropping rows with dropna() or filling them with fillna(). GG. Data Prep GG02_pd_handle_missing_data.py
375 Data Aggregation: Use .groupby() to group data by a category column and calculate the sum of another column for each group. GG. Data Analysis GG03_pd_groupby_aggregate.py
376 Merging DataFrames: Merge two DataFrames based on a common key (e.g., merging student records with grades). GG. Data Analysis GG04_pd_merge_dataframes.py
377 Time-Series Data: Load time-series data and convert a date column to the proper datetime format. GG. Time Series GG05_pd_time_series_prep.py
378 Basic Line Plot (Matplotlib): Create a simple line plot to visualize a single column of data over time. GG. Visualization GG06_plt_basic_line_plot.py
379 Bar Chart: Create a bar chart using Matplotlib to visualize the counts of categorical data. GG. Visualization GG07_plt_basic_bar_chart.py
380 Scatter Plot: Create a scatter plot to visualize the relationship between two numeric variables. GG. Visualization GG08_plt_basic_scatter.py
381 LEGO Dataset Analysis (Count): Load a mock LEGO dataset and find the total number of themes and sets. GG. Project GG09_pd_lego_count.py
382 LEGO Dataset Analysis (By Year): Use Pandas to count the number of LEGO sets released each year and plot it. GG. Project GG10_pd_lego_sets_by_year.py
383 Noble Prize Winners Analysis (Gender): Load a mock Nobel Prize dataset and find the percentage of male vs. female winners. GG. Project GG11_pd_nobel_gender.py
384 Noble Prize Winners Analysis (By Age): Calculate the average age of Nobel winners by filtering and aggregation. GG. Project GG12_pd_nobel_avg_age.py

Day 35: Data Analysis - NumPy & Linear Regression (11 Programs)

Focus: Numerical computing fundamentals and introduction to Machine Learning models.

# Program Description (Focus) Category Filename
385 NumPy Array Creation: Create a 1D, 2D, and 3D NumPy array and print their shapes. HH. NumPy HH01_np_array_creation.py
386 NumPy Arithmetic: Perform basic element-wise arithmetic (addition, multiplication) on two NumPy arrays. HH. NumPy HH02_np_arithmetic.py
387 NumPy Indexing/Slicing: Demonstrate advanced indexing and slicing (e.g., selecting all rows where a condition is met). HH. NumPy HH03_np_indexing_slicing.py
388 NumPy Linear Algebra: Perform matrix multiplication (np.dot) on two NumPy 2D arrays. HH. NumPy Adv HH04_np_matrix_mult.py
389 NumPy Broadcasting: Demonstrate how broadcasting works when adding a scalar to a 2D array. HH. NumPy Adv HH05_np_broadcasting.py
390 Simple Linear Regression (Data Prep): Use NumPy to create mock data ($X$ and $Y$ with a linear relationship + noise). HH. ML Prep HH06_ml_linear_prep.py
391 Simple Linear Regression (Manual Fit): Manually calculate the slope ($m$) and intercept ($c$) for the mock data using formulas. HH. ML Algo HH07_ml_linear_manual_fit.py
392 Simple Linear Regression (Scikit-Learn): Use sklearn.linear_model.LinearRegression to fit a model to the mock data. HH. ML Scikit HH08_ml_linear_sklearn.py
393 Making Predictions: Use the trained Scikit-Learn model to predict the $Y$ value for a new $X$ value. HH. ML Scikit HH09_ml_linear_predict.py
394 Evaluating the Model: Calculate the Mean Squared Error (MSE) and $R^2$ score for the linear regression model. HH. ML Scikit HH10_ml_linear_evaluate.py
395 Visualizing the Fit: Use Matplotlib/Seaborn to plot the original data points and the fitted regression line. HH. Visualization HH11_ml_linear_visualize.py

Day 36: Project 11: Stock Monitoring and Habit Tracking (12 Programs)

Focus: Combining APIs, logic, and networking for real-world automation tasks.

# Program Description (Focus) Category Filename
396 Stock Monitoring (Price Check): Use a mock API to get the closing price for a stock yesterday and the day before. II. API Project II01_stock_price_check.py
397 Stock Monitoring (Volatility): Calculate the percentage difference between the two closing prices. II. API Project II02_stock_calculate_volatility.py
398 Stock Monitoring (News Fetch): If the volatility exceeds a threshold (e.g., 5%), use a mock News API to fetch the top three articles related to the stock. II. API Project II03_stock_news_fetch.py
399 Stock Monitoring (Twilio Alert): Format the stock change and news into a concise message and send it via Twilio (mock/console print). II. API Project II04_stock_twilio_alert.py
400 Habit Tracker (Pixela API - User): Simulate a POST request to create a new user account on the Pixela API. II. API Project II05_pixela_create_user.py
401 Habit Tracker (Pixela API - Graph): Simulate a POST request to create a new, trackable graph (e.g., "coding-hours") for the user. II. API Project II06_pixela_create_graph.py
402 Habit Tracker (Pixela API - Post Pixel): Simulate a POST request to record a new pixel (value) for the graph today. II. API Project II07_pixela_post_pixel.py
403 Habit Tracker (Pixela API - Update): Simulate a PUT request to update the value of a pixel recorded on a specific date. II. API Project II08_pixela_update_pixel.py
404 Workout Tracking Application (Setup): Create a function that takes exercise, duration, and calories and stores it in a mock list of dictionaries. II. API Project II09_workout_tracker_setup.py
405 Workout Tracking Application (Data Entry): Simulate natural language input parsing (e.g., "I ran for 30 minutes and did 10 pushups") and save the structured data. II. API Project II10_workout_tracker_parse.py
406 Workout Tracking Application (Sheet Mock): Simulate using the data to make a POST request to a mock Google Sheet API to log the workout. II. API Project II11_workout_tracker_sheet.py
407 Dotenv/Environment Variables: Read a sensitive API key from an environment variable (mocking .env file loading). II. DevOps II12_devops_dotenv.py

Day 37: Project 12: Flight Deal Finder (11 Programs)

Focus: Complex data fetching, comparison logic, and user notification systems.

# Program Description (Focus) Category Filename
408 Flight Deal Finder (Data Structure): Define the required data structure (list of dictionaries) to hold city, IATA code, lowest price, and departure date. JJ. Flight Project JJ01_flight_data_structure.py
409 Flight Deal Finder (Sheety/DB Load): Simulate loading the list of target cities from a mock Google Sheet API (via Sheety). JJ. Flight Project JJ02_flight_load_cities.py
410 Flight Deal Finder (Teekila API - IATA Mock): Simulate a GET request to a Teekila-like API to get the IATA code for a city name. JJ. Flight Project JJ03_flight_iata_mock.py
411 Flight Deal Finder (Update Sheet with IATA): Simulate a PUT request to update the mock Google Sheet with the fetched IATA codes for each city. JJ. Flight Project JJ04_flight_update_iata.py
412 Flight Deal Finder (Search - Mock): Simulate a GET request to search for the cheapest flight from a home airport to a target city within a given date range. JJ. Flight Project JJ05_flight_search_mock.py
413 Flight Deal Finder (Deal Check): Process the mock flight search response and determine if the current price is lower than the recorded lowest price. JJ. Flight Project JJ06_flight_deal_check.py
414 Flight Deal Finder (Twilio Alert - Deal): If a deal is found, send a descriptive SMS alert (mock/console print) with the price and dates. JJ. Flight Project JJ07_flight_twilio_deal.py
415 Flight Deal Finder (Twilio Alert - Stopover): If the cheapest deal involves a stopover, modify the SMS alert to include the stopover city. JJ. Flight Project JJ08_flight_twilio_stopover.py
416 Flight Deal Finder (User Sign-up Mock): Simulate adding new user emails to a mock database/sheet. JJ. Flight Project JJ09_flight_user_signup.py
417 Flight Deal Finder (Email List): If a deal is found, use smtplib to send an email to the entire list of subscribed users. JJ. Flight Project JJ10_flight_email_list.py
418 Handling API Authorization: Demonstrate using requests.auth.HTTPBasicAuth for a mock API request that requires username/password. JJ. Requests Adv JJ11_req_http_auth.py

Day 38: DevOps - subprocess and os Modules (12 Programs)

Focus: System-level automation, file management, and interacting with the command line.

# Program Description (Focus) Category Filename
419 Execute a Simple Shell Command: Use subprocess.run() to execute a basic command like ls -l and print the output. KK. Subprocess KK01_sub_run_ls.py
420 Capture Command Output: Use subprocess.run() with capture_output=True to get the output as a string and process it (e.g., count lines). KK. Subprocess KK02_sub_capture_output.py
421 Handle Command Error: Use subprocess.run() with check=True and a try...except block to catch a CalledProcessError for a failed command. KK. Subprocess KK03_sub_handle_error.py
422 Automating Git Operations (Clone Mock): Use subprocess to run a mock git clone <repo_url>. KK. Subprocess App KK04_sub_git_clone_mock.py
423 Automating Git Operations (Commit/Push Mock): Use a sequence of subprocess calls to simulate git add ., git commit -m "update", and git push. KK. Subprocess App KK05_sub_git_commit_push.py
424 Check Git Status Across Multiple Repositories: Iterate over a list of directories and use subprocess to check the status of each Git repository. KK. Subprocess App KK06_sub_check_multi_repo.py
425 List Files in a Directory: Use os.listdir() to list all files and folders in the current working directory. KK. OS Module KK07_os_list_dir.py
426 Creating and Deleting a Directory: Use os.mkdir() and os.rmdir() to create and then safely remove a new folder. KK. OS Module KK08_os_create_delete_dir.py
427 File Path Manipulation: Use os.path.join() and os.path.basename() to create a platform-independent file path and extract the filename. KK. OS Module KK09_os_path_manipulation.py
428 Walk a Directory Tree: Use os.walk() to traverse a directory tree and print the file paths. KK. OS Module KK10_os_walk_tree.py
429 Find Large Files: Use os.walk() combined with os.path.getsize to find all files in a directory tree larger than 10MB. KK. OS App KK11_os_find_large_files.py
430 Compare Two Directory Trees: Compare the contents of two directories recursively to check if they are identical (file names and sizes). KK. OS App KK12_os_compare_dirs.py

Day 39: DevOps - Boto3 (AWS SDK) (12 Programs)

Focus: Interacting with Amazon Web Services (AWS) using the Boto3 library.

# Program Description (Focus) Category Filename
431 Boto3 Setup/Session: Initialize a Boto3 session and mock the client connection to an AWS service (e.g., S3). LL. Boto3 Basics LL01_boto3_setup_client.py
432 S3: List Buckets (Mock): Use the S3 client to list all mock S3 buckets in the account. LL. Boto3 S3 LL02_boto3_s3_list_buckets.py
433 S3: Create a Bucket (Mock): Use the S3 client to create a new S3 bucket with a globally unique name. LL. Boto3 S3 LL03_boto3_s3_create_bucket.py
434 S3: Upload a File (Mock): Use the S3 client to upload a local file to a specified bucket and key. LL. Boto3 S3 LL04_boto3_s3_upload_file.py
435 S3: Download a File (Mock): Use the S3 client to download an object from S3 to a local file path. LL. Boto3 S3 LL05_boto3_s3_download_file.py
436 S3: Delete an Object (Mock): Use the S3 client to delete a specific object from a bucket. LL. Boto3 S3 LL06_boto3_s3_delete_object.py
437 S3: Handling a Non-Existent Bucket: Implement try...except to catch and handle the error when trying to access a bucket that doesn't exist. LL. Boto3 Error LL07_boto3_s3_handle_not_found.py
438 EC2: List Instances (Mock): Use the EC2 client to describe (list) all running instances, filtering by state. LL. Boto3 EC2 LL08_boto3_ec2_list_instances.py
439 EC2: Start an Instance (Mock): Use the EC2 client to start a specific instance by its ID. LL. Boto3 EC2 LL09_boto3_ec2_start_instance.py
440 EC2: Stop an Instance (Mock): Use the EC2 client to gracefully stop a specific instance by its ID. LL. Boto3 EC2 LL10_boto3_ec2_stop_instance.py
441 IAM: List Users (Mock): Use the IAM client to list all user accounts in the AWS account. LL. Boto3 IAM LL11_boto3_iam_list_users.py
442 IAM: Create a User (Mock): Use the IAM client to create a new user with a specific name. LL. Boto3 IAM LL12_boto3_iam_create_user.py

Day 40: DevOps - Paramiko (SSH) (11 Programs)

Focus: Securely connecting to and executing commands on remote Linux servers.

# Program Description (Focus) Category Filename
443 Paramiko Setup: Create a SSHClient object and set the policy to automatically add the host key. MM. Paramiko MM01_pmk_ssh_setup.py
444 Basic Connection (Mock Password): Simulate connecting to a remote server using a username and password. MM. Paramiko MM02_pmk_connect_password_mock.py
445 Secure Connection (Mock Key): Simulate connecting using an SSH private key file path. MM. Paramiko MM03_pmk_connect_key_mock.py
446 Execute Remote Command: Connect to a mock server and execute a single remote command (e.g., uptime) and print stdout/stderr. MM. Paramiko MM04_pmk_execute_command.py
447 Execute Command with Input (Mock SUDO): Send input to the remote command (e.g., sending a password to a sudo prompt). MM. Paramiko Adv MM05_pmk_execute_with_input.py
448 Handle Connection Errors: Implement try...except to handle common connection failures like AuthenticationException or NoValidConnectionsError. MM. Paramiko Error MM06_pmk_handle_errors.py
449 SFTP: Upload a File: Use SFTPClient to upload a local file to a specified path on the remote server. MM. Paramiko SFTP MM07_pmk_sftp_upload.py
450 SFTP: Download a File: Use SFTPClient to download a file from the remote server to a local path. MM. Paramiko SFTP MM08_pmk_sftp_download.py
451 SFTP: List Remote Directory: Use SFTPClient to list the contents of a directory on the remote machine. MM. Paramiko SFTP MM09_pmk_sftp_list_dir.py
452 Advanced Script Execution: Write a Python function that executes a multi-line shell script remotely and collects all outputs. MM. Paramiko Adv MM10_pmk_execute_script.py
453 Checking Remote File Existence: Use SFTPClient to check if a specific file exists on the remote server before attempting to download. MM. Paramiko Adv MM11_pmk_check_file_exists.py

Day 41: DevOps - Docker SDK (11 Programs)

Focus: Programmatically controlling and automating Docker containers and images.

# Program Description (Focus) Category Filename
454 Docker Client Setup: Initialize the Docker client connection. NN. Docker SDK NN01_docker_client_setup.py
455 List Running Containers: Use the client to list all currently running Docker containers. NN. Docker Containers NN02_docker_list_containers.py
456 List All Images: Use the client to list all Docker images available locally. NN. Docker Images NN03_docker_list_images.py
457 Pull an Image (Mock): Use the client to pull a specified Docker image from a registry (e.g., nginx:latest). NN. Docker Images NN04_docker_pull_image.py
458 Run a Container (Simple): Use the client to run a simple, detached container (e.g., running hello-world). NN. Docker Containers NN05_docker_run_simple.py
459 Stop and Remove a Container: Find a container by name/ID, stop it, and remove it (remove=True). NN. Docker Containers NN06_docker_stop_remove.py
460 Build an Image from a Dockerfile (Mock): Use the client to build an image given a path to a Dockerfile. NN. Docker Images NN07_docker_build_image.py
461 A CI/CD Script to Build and Push an Image (Mock): Combine build, tag, and push operations (simulated) for a CI workflow. NN. Docker App NN08_docker_ci_push_mock.py
462 Container Health Check: Inspect a running container's status to check if it's "running" or "exited." NN. Docker Containers NN09_docker_health_check.py
463 Docker System Cleanup Script: Use client.containers.prune() and client.images.prune() to clean up unused resources. NN. Docker App NN10_docker_cleanup_script.py
464 Handling Common Docker Exceptions: Implement try...except to handle exceptions like ImageNotFound or NotFound (for containers). NN. Docker Error NN11_docker_handle_exceptions.py

Day 42: DevOps - Kubernetes SDK (12 Programs)

Focus: Managing and monitoring Kubernetes clusters and resources.

# Program Description (Focus) Category Filename
465 Kubernetes Config Setup: Load the Kube config file from its default location. OO. K8s SDK OO01_k8s_config_load.py
466 List Pods in a Namespace: Use the CoreV1Api to list all Pods in the 'default' namespace. OO. K8s Core OO02_k8s_list_pods.py
467 Create a Namespace: Use the CoreV1Api to programmatically create a new namespace. OO. K8s Core OO03_k8s_create_namespace.py
468 Monitoring Pod Health: List pods and check their status.phase (e.g., 'Running', 'Pending', 'Failed') to monitor health. OO. K8s App OO04_k8s_monitor_pod_health.py
469 Create a Deployment: Use the AppsV1Api to create a new deployment (specifying image, replicas). OO. K8s Apps OO05_k8s_create_deployment.py
470 Get Deployment Status: Check the status of a specific deployment (e.g., checking readyReplicas). OO. K8s Apps OO06_k8s_get_deployment_status.py
471 Create a Service: Use the CoreV1Api to create a NodePort or LoadBalancer Service that exposes the deployment. OO. K8s Core OO07_k8s_create_service.py
472 Automating a Rolling Update: Use the AppsV1Api to patch a deployment's image version to trigger a rolling update. OO. K8s App OO08_k8s_rolling_update.py
473 Running and Monitoring a Job: Create a simple batch Job and use a loop to wait for the job to complete successfully. OO. K8s Batch OO09_k8s_run_monitor_job.py
474 Scale a Deployment: Use the AppsV1Api to scale the number of replicas for an existing deployment. OO. K8s Apps OO10_k8s_scale_deployment.py
475 Delete a Deployment: Use the AppsV1Api to delete a deployment by its name. OO. K8s Apps OO11_k8s_delete_deployment.py
476 Handling Kubernetes API Exceptions: Implement try...except blocks to handle generic API exceptions (ApiException) during operations. OO. K8s Error OO12_k8s_handle_api_errors.py

Day 43: Advanced String & Regex (11 Programs)

Focus: Complex string processing, sub-problems, and pattern matching.

# Program Description (Focus) Category Filename
477 Find Longest Substring Without Repeating Characters: Find the length of the longest substring without any repeating characters. PP. String Adv PP01_str_longest_substring.py
478 Find All Substrings: Generate and print all possible substrings of a given input string. PP. String Adv PP02_str_find_all_substrings.py
479 Group Anagrams: Given a list of words, group the anagrams together. PP. String Adv PP03_str_group_anagrams.py
480 Reverse Words and Swap Cases: Reverse the order of words in a sentence and swap the case of all letters (e.g., "Hello World" $\to$ "wORLD hELLO"). PP. String Adv PP04_str_reverse_swap_case.py
481 Excel Column Title to Number: Convert an Excel column title string (e.g., 'A', 'AB', 'ZY') to its corresponding column number. PP. String Adv PP05_str_excel_col_to_num.py
482 Regex: Basic Search: Use re.search() to find the first occurrence of a pattern (e.g., a number) in a string. PP. Regex PP06_regex_basic_search.py
483 Regex: Find All Matches: Use re.findall() to extract all email addresses from a sample text block. PP. Regex PP07_regex_find_all_emails.py
484 Regex: Substitution: Use re.sub() to replace all instances of a pattern (e.g., all whitespace) with a different character (e.g., a hyphen). PP. Regex PP08_regex_substitution.py
485 Find Most Frequent IP in a Log File: Use regex (re.match or re.search) to extract IPs from a mock log file and count the most frequent one. PP. Regex App PP09_regex_frequent_ip_log.py
486 Parsing a Log File for Error Lines: Use regex to specifically identify and extract lines containing the word "ERROR" and the timestamp associated with it. PP. Regex App PP10_regex_parse_error_log.py
487 Creating a Set of Unique User Roles from a Config: Use regex to extract all unique user roles mentioned across a mock config file. PP. Regex App PP11_regex_extract_roles.py

Day 44: Project 13: Web Scraping/Automation (11 Programs)

Focus: Scraper robustness, pagination, and advanced automation tasks.

# Program Description (Focus) Category Filename
488 Scraper: Extracting Specific Data: Scrape a mock sports results page and extract the final score for a specific team. QQ. Web Scraping QQ01_scrape_sports_score.py
489 Scraper: Pagination (Mock): Create a function that iterates through mock page numbers in a URL to scrape data from multiple pages. QQ. Web Scraping QQ02_scrape_pagination.py
490 Scraper: Custom Web Scraper for Top 100 Books (Full): Fetch a mock top book list, extract the title, author, and price, and store it in a Pandas DataFrame. QQ. Project QQ03_scrape_top_books_full.py
491 Selenium: Instagram Follower Bot (Mock Follow): Use Selenium to log in and simulate finding a target user's profile and clicking the 'Follow' button. QQ. Project QQ04_selenium_ig_follow_mock.py
492 Selenium: Data Entry Automation (Form): Scrape data from one source (mock) and use Selenium to automatically fill out a separate web form with that data. QQ. Project QQ05_selenium_data_entry_form.py
493 Selenium: Data Entry Automation (Capcha Mock): Implement a necessary wait and mock logic for handling a CAPTCHA or reCAPTCHA page element. QQ. Project QQ06_selenium_captcha_mock.py
494 Selenium: Handling Alerts (Pop-ups): Use driver.switch_to.alert to accept or dismiss a JavaScript alert box. QQ. Selenium Adv QQ07_selenium_handle_alert.py
495 Selenium: Screenshot Capture: Take a screenshot of the current page and save it to a local file. QQ. Selenium Adv QQ08_selenium_capture_screenshot.py
496 Selenium: Downloads Folder Organizer (Setup): Create a script that watches a mock downloads folder and automatically moves files based on extension (.pdf, .jpg) into category folders. QQ. Project QQ09_selenium_downloads_organizer.py
497 Selenium: Headless Browser Mode: Configure the WebDriver to run in headless mode (without opening a visible browser window). QQ. Selenium Adv QQ10_selenium_headless_mode.py
498 Scraper: Extracting and Parsing Dates: Scrape a mock event list and parse the date strings into Python datetime objects. QQ. Web Scraping QQ11_scrape_parse_dates.py

Day 45: Project 14: Data Visualizations (12 Programs)

Focus: Using Matplotlib and Seaborn to create insightful plots and charts.

# Program Description (Focus) Category Filename
499 Matplotlib: Subplots: Create a figure with two side-by-side subplots (e.g., a line plot and a scatter plot). RR. Matplotlib RR01_plt_subplots.py
500 Matplotlib: Histograms: Create a histogram to visualize the distribution of a mock dataset (e.g., test scores). RR. Matplotlib RR02_plt_histogram.py
501 Matplotlib: Pie Chart: Create a pie chart to visualize the percentage breakdown of categorical data. RR. Matplotlib RR03_plt_pie_chart.py
502 Matplotlib: Customization: Add titles, axis labels, legends, and gridlines to a plot for better readability. RR. Matplotlib RR04_plt_customization.py
503 Seaborn: Scatter Plot: Use Seaborn to create a scatter plot of two variables and use a third variable to color the points (hue). RR. Seaborn RR05_sns_scatter_hue.py
504 Seaborn: Box Plot: Create a box plot to visualize the distribution and outliers of a numeric variable for different categories. RR. Seaborn RR06_sns_box_plot.py
505 Space Race Analysis (Data Prep): Load a mock space mission dataset and clean the 'Date' column for analysis. RR. Project RR07_data_prep_space_race.py
506 Space Race Analysis (Visualization): Use Matplotlib/Pandas to plot the cumulative number of missions over time. RR. Project RR08_plt_space_race_cumulative.py
507 Deaths by Police Analysis (Visualization): Use Seaborn to create a bar chart showing the count of incidents by race/ethnicity. RR. Project RR09_sns_deaths_by_race.py
508 Deaths by Police Analysis (Trends): Plot the incident count over the years (time series) to analyze trends. RR. Project RR10_plt_deaths_over_time.py
509 Google Play Store App Analytics (Prep): Load a mock app dataset, clean the 'Reviews' column, and filter for high-review apps. RR. Project RR11_data_prep_app_analytics.py
510 Google Play Store App Analytics (Plotly Mock): Use Plotly (mock) to create an interactive scatter plot of app size vs. installs. RR. Project RR12_plt_app_size_vs_installs.py

Day 46: Advanced Project Topics (12 Programs)

Focus: Utility development (audio, image), and high-level web app components.

# Program Description (Focus) Category Filename
511 Text to Audiobook Converter (Setup): Use a mock text-to-speech library to convert a simple string to an audio file. SS. Project Adv SS01_tts_basic_convert.py
512 Text to Audiobook Converter (File Input): Read the content of a .txt file and convert the entire content to speech. SS. Project Adv SS02_tts_file_input.py
513 PDF to Audiobook Converter (Mock PyPDF2): Mock reading text from a PDF file and passing it to the TTS function. SS. Project Adv SS03_tts_pdf_mock.py
514 Image Color Palette Generator (Setup): Use a mock image processing library (Pillow) to open an image file. SS. Project Adv SS04_img_palette_setup.py
515 Image Color Palette Generator (Logic): Extract the 10 most common colors (RGB/Hex) from the mock image data. SS. Project Adv SS05_img_palette_logic.py
516 Custom API Based Website (Data): Flask app that fetches data from an external mock API and renders it in a template. SS. Flask API SS06_flask_custom_api_site.py
517 eCommerce Website (Product List): Flask app that displays a list of mock products from a database. SS. Flask Project SS07_flask_ecommerce_product.py
518 eCommerce Website (Shopping Cart Logic): Implement session-based logic to add and display items in a shopping cart. SS. Flask Project SS08_flask_ecommerce_cart.py
519 eCommerce Website (Payment Processing Mock): Simulate the process of submitting payment information to a mock service (e.g., Stripe/PayPal). SS. Flask Project SS09_flask_ecommerce_payment_mock.py
520 Simple Chat Application (Setup - Mock DB): Create a basic Flask route to display the last 10 messages from a mock database. SS. Project Adv SS10_flask_chat_setup.py
521 Simple Chat Application (Post Message): Implement a POST route to allow a user to submit a new message to the mock database. SS. Project Adv SS11_flask_chat_post.py
522 Kanban-Style Todo List Website (CRUD): Implement the core Flask-SQLAlchemy CRUD functions for managing a single list of todo items. SS. Flask Project SS12_flask_todo_crud.py

Day 47: Security & Cryptography (11 Programs)

Focus: Hashing, encryption concepts, and web security basics.

# Program Description (Focus) Category Filename
523 SHA-256 Hashing: Use hashlib to calculate the SHA-256 hash of an input string. TT. Cryptography TT01_hash_sha256.py
524 MD5 Hashing: Use hashlib to calculate the MD5 hash of an input string. TT. Cryptography TT02_hash_md5.py
525 Password Hashing (bcrypt Mock): Simulate the process of generating a salted hash for a user password using a modern library (e.g., bcrypt). TT. Cryptography TT03_hash_password_bcrypt_mock.py
526 Password Verification (bcrypt Mock): Simulate verifying a user-provided password against the stored hash. TT. Cryptography TT04_hash_password_verify_mock.py
527 RSA: Key Generation (Mock): Simulate the generation of public and private RSA keys. TT. Cryptography TT05_crypto_rsa_key_gen_mock.py
528 RSA: Encryption (Mock): Simulate encrypting a short message using the RSA public key. TT. Cryptography TT06_crypto_rsa_encrypt_mock.py
529 RSA: Decryption (Mock): Simulate decrypting the message using the RSA private key. TT. Cryptography TT07_crypto_rsa_decrypt_mock.py
530 Diffie-Hellman Key Exchange (Mock): Simulate the steps for two parties (Alice and Bob) to securely agree on a shared secret key. TT. Cryptography TT08_crypto_diffie_hellman_mock.py
531 URL Encoding/Decoding: Use the urllib.parse module to encode and decode a URL string (e.g., handling spaces and special characters). TT. Web Security TT09_web_url_encoding.py
532 Sanitizing User Input: Create a function to remove common exploit characters (e.g., <script>, &) from user input before display. TT. Web Security TT10_web_input_sanitization.py
533 Basic XSS Filter: Implement a simple regex-based filter to detect and neutralize basic Cross-Site Scripting (XSS) payload attempts. TT. Web Security TT11_web_xss_filter.py

Day 48: Advanced OOP & Design Patterns (11 Programs)

Focus: Advanced Python features like decorators, generators, and design patterns.

# Program Description (Focus) Category Filename
534 Iterator Pattern: Implement a simple custom iterable class (e.g., RangeIterator) that supports the __iter__ and __next__ methods. UU. Design Patterns UU01_design_iterator_pattern.py
535 Generator Function: Write a simple Python generator function using yield (e.g., an infinite sequence generator). UU. OOP Adv UU02_oop_generator_function.py
536 Context Manager (with statement): Implement a custom class with __enter__ and __exit__ to create a context manager (e.g., for managing a file handle). UU. OOP Adv UU03_oop_context_manager.py
537 Decorator (Basic): Implement a simple Python decorator to time the execution of a function. UU. OOP Adv UU04_oop_basic_decorator.py
538 Factory Method Pattern: Implement a Factory Method to create different types of objects (e.g., Car, Bike) based on a single input string. UU. Design Patterns UU05_design_factory_method.py
539 Singleton Pattern (Basic): Implement the Singleton pattern to ensure that only one instance of a specific class exists. UU. Design Patterns UU06_design_singleton.py
540 Observer Pattern (Basic): Implement a simple Observer pattern where a Subject notifies multiple attached Observers of a state change. UU. Design Patterns UU07_design_observer_pattern.py
541 Proxy Pattern: Implement a Proxy class that acts as a placeholder for another object (e.g., controlling access or adding logging). UU. Design Patterns UU08_design_proxy_pattern.py
542 Chaining Functions: Demonstrate how to use methods in a class to allow method chaining (returning self after each operation). UU. OOP Adv UU09_oop_method_chaining.py
543 Property Decorator (Getter/Setter): Use the @property decorator to define getter and setter methods for a private attribute. UU. OOP Adv UU10_oop_property_decorator.py
544 Dependency Injection (Simple): Implement a class that uses a dependency passed into its constructor instead of creating it internally. UU. OOP Adv UU11_oop_dependency_injection.py

Day 49: Advanced Data Structures & Algorithms (11 Programs)

Focus: Heaps, Graphs, and Dynamic Programming concepts.

# Program Description (Focus) Category Filename
545 Heap/Priority Queue: Use the heapq module to implement a Min-Heap and demonstrate pushing and popping elements. VV. Data Struct VV01_ds_min_heap_heapq.py
546 Graph Traversal (Adjacency List): Represent a simple directed graph using an adjacency list (dictionary of lists). VV. Graph VV02_graph_adjacency_list.py
547 Graph: Breadth-First Search (BFS): Implement the BFS algorithm on the mock graph. VV. Graph VV03_graph_bfs.py
548 Graph: Depth-First Search (DFS): Implement the DFS algorithm (iterative using a stack) on the mock graph. VV. Graph VV04_graph_dfs_iterative.py
549 Shortest Path (Dijkstra's Algorithm): Implement Dijkstra's algorithm to find the shortest path between two nodes in a weighted graph. VV. Graph Adv VV05_graph_dijkstra.py
550 Graph: Kruskal's Algorithm: Implement Kruskal's algorithm to find the Minimum Spanning Tree (MST) of a connected, undirected graph. VV. Graph Adv VV06_graph_kruskal.py
551 Graph: Prim's Algorithm: Implement Prim's algorithm to find the Minimum Spanning Tree (MST) using a Priority Queue. VV. Graph Adv VV07_graph_prim.py
552 Dynamic Programming: Fibonacci: Implement the Fibonacci sequence using memoization (top-down DP) for optimal performance. VV. DP VV08_dp_fibonacci_memo.py
553 Dynamic Programming: Knapsack (0/1): Implement the 0/1 Knapsack problem using a bottom-up DP approach. VV. DP VV09_dp_knapsack.py
554 Dynamic Programming: Longest Common Subsequence (LCS): Implement the LCS problem using a DP table. VV. DP VV10_dp_lcs.py
555 Dynamic Programming: Edit Distance: Implement the Edit Distance (Levenshtein distance) calculation using DP. VV. DP VV11_dp_edit_distance.py

Day 50: Advanced Data Analytics & ML (11 Programs)

Focus: Data transformations, advanced ML models, and predictive modeling.

# Program Description (Focus) Category Filename
556 Multi-Variable Regression (Data Prep): Load mock housing price data with multiple features ($X_1, X_2, \dots$) and a target variable ($Y$). WW. ML Adv WW01_ml_multi_var_prep.py
557 Multi-Variable Regression (Sklearn Fit): Use sklearn.linear_model.LinearRegression to fit a model with multiple independent variables. WW. ML Adv WW02_ml_multi_var_fit.py
558 Classification (Logistic Regression): Use Scikit-Learn to implement a Logistic Regression model for a binary classification problem (mock data). WW. ML Adv WW03_ml_logistic_regression.py
559 Classification (Decision Tree): Implement a Decision Tree Classifier for a categorical dataset (mock data). WW. ML Adv WW04_ml_decision_tree.py
560 Clustering (K-Means): Use Scikit-Learn to implement K-Means clustering on an unlabeled dataset (mock data). WW. ML Adv WW05_ml_k_means_clustering.py
561 Model Evaluation: Calculate the Confusion Matrix and Classification Report (precision, recall, F1-score) for a classification model. WW. ML Adv WW06_ml_confusion_matrix.py
562 Feature Scaling: Implement Min-Max Scaling (normalization) on a mock numeric column using Pandas/NumPy. WW. Data Prep WW07_data_feature_scaling.py
563 One-Hot Encoding: Convert a categorical column in a Pandas DataFrame into numeric format using One-Hot Encoding. WW. Data Prep WW08_data_one_hot_encode.py
564 Time Series: Moving Average: Calculate the 7-day Moving Average for a mock time-series column in Pandas. WW. Data Analysis WW09_data_moving_average.py
565 Data Detective Story (Mock Data): Load a mock dataset on historical events, clean it, and aggregate data to find trends based on a hypothesis. WW. Data Analysis WW10_data_detective_story.py
566 Pandas: Apply/Lambda: Use the .apply() method with a lambda function to create a new column based on complex logic involving multiple existing columns. WW. Data Analysis WW11_data_pandas_apply.py

Day 51: Databases - SQL/MySQL Mock (12 Programs)

Focus: Connecting and interacting with relational databases using Python's DB API.

# Program Description (Focus) Category Filename
567 DB Connection Setup (Mock mysql.connector): Set up a mock database connection and cursor object. XX. DB Basics XX01_db_connect_mock.py
568 SQL: Create Table (Mock): Execute a mock SQL command to CREATE a new table (Products). XX. DB CRUD XX02_db_sql_create_table.py
569 SQL: Insert Data (Mock): Execute a mock SQL command to INSERT a single record into the table. XX. DB CRUD XX03_db_sql_insert_one.py
570 SQL: Insert Multiple Data (Mock): Use cursor.executemany() to INSERT multiple records from a Python list into the table efficiently. XX. DB CRUD XX04_db_sql_insert_many.py
571 SQL: Select All Data (Mock): Execute a mock SELECT * query and fetch all results using cursor.fetchall(). XX. DB CRUD XX05_db_sql_select_all.py
572 SQL: Select Filtered Data (Mock): Execute a mock SELECT query with a WHERE clause to filter results (e.g., price > 100). XX. DB CRUD XX06_db_sql_select_where.py
573 SQL: Update Data (Mock): Execute a mock SQL command to UPDATE a specific record. XX. DB CRUD XX07_db_sql_update.py
574 SQL: Delete Data (Mock): Execute a mock SQL command to DELETE a record based on a condition. XX. DB CRUD XX08_db_sql_delete.py
575 SQL: Prepared Statements (Mock): Use parameterized queries (prepared statements) to execute a mock SELECT query safely. XX. DB Security XX09_db_sql_prepared_stmt.py
576 SQL: Join Operation (Mock): Execute a mock SQL query to perform a LEFT JOIN between two tables (Orders and Customers). XX. DB Advanced XX10_db_sql_left_join.py
577 SQL: Aggregate Functions (Mock): Execute a mock query using GROUP BY and an aggregate function like SUM() or COUNT(). XX. DB Advanced XX11_db_sql_aggregate.py
578 SQL: Stored Procedures (Mock Callable Statement): Simulate calling a stored procedure using a database API (mock callproc). XX. DB Advanced XX12_db_sql_stored_proc.py

Day 52: Databases - NoSQL/MongoDB Mock (11 Programs)

Focus: Connecting and interacting with document databases using Python's driver.

# Program Description (Focus) Category Filename
579 MongoDB Connection Setup (Mock pymongo): Set up a mock client connection to a MongoDB instance/database. YY. MongoDB Basics YY01_mongo_connect_mock.py
580 MongoDB: Insert One Document (Mock): Insert a single JSON-like document into a mock collection. YY. MongoDB CRUD YY02_mongo_insert_one.py
581 MongoDB: Insert Many Documents (Mock): Insert a list of documents into a mock collection. YY. MongoDB CRUD YY03_mongo_insert_many.py
582 MongoDB: Find All Documents (Mock): Retrieve and print all documents from a collection. YY. MongoDB CRUD YY04_mongo_find_all.py
583 MongoDB: Find Filtered Documents (Mock): Query documents using a filter criteria (e.g., {'status': 'pending'}). YY. MongoDB CRUD YY05_mongo_find_filter.py
584 MongoDB: Find with Projection (Mock): Query documents but only retrieve specific fields (projection) to limit data transfer. YY. MongoDB CRUD YY06_mongo_find_projection.py
585 MongoDB: Update One Document (Mock): Use $set operator to update a specific field in one document. YY. MongoDB CRUD YY07_mongo_update_one.py
586 MongoDB: Update Many Documents (Mock): Update a specific field for multiple documents matching a criteria. YY. MongoDB CRUD YY08_mongo_update_many.py
587 MongoDB: Delete One Document (Mock): Delete a single document matching a specific criteria. YY. MongoDB CRUD YY09_mongo_delete_one.py
588 MongoDB: Aggregation Pipeline (Mock): Simulate a basic aggregation pipeline using $match and $group operators. YY. MongoDB Adv YY10_mongo_aggregate.py
589 MongoDB: Indexing (Mock): Simulate creating an index on a specific field to improve query performance. YY. MongoDB Adv YY11_mongo_create_index.py

Day 53: Patterns, Utility & System (12 Programs)

Focus: Practical system utilities and advanced Python language features.

# Program Description (Focus) Category Filename
590 URL Shortener (Logic): Implement a simple base-62 encoding scheme to convert a sequential integer ID into a short, unique code (mock URL). ZZ. Utility ZZ01_utility_url_shortener.py
591 Downloads Folder Organizer (Full Logic): Implement the core logic to categorize and move files based on their extensions using shutil (mock). ZZ. Utility ZZ02_utility_folder_organizer.py
592 Image Resizer (Mock): Use a mock imaging library to resize a batch of images in a folder to a specific dimension. ZZ. Utility ZZ03_utility_image_resizer.py
593 CSV to JSON Converter: Write a script that reads data from a CSV file and converts the entire dataset into a JSON file format. ZZ. Data Format ZZ04_utility_csv_to_json.py
594 JSON to XML Converter (Mock): Write a function that takes a nested Python dictionary (JSON data) and converts it to a basic XML structure. ZZ. Data Format ZZ05_utility_json_to_xml.py
595 Logging Configuration: Configure Python's standard logging module to log messages of different levels (INFO, WARNING, ERROR) to both the console and a file. ZZ. System ZZ06_system_logging_config.py
596 Argument Parsing (argparse): Write a script that uses the argparse module to handle command-line arguments and flags efficiently. ZZ. System ZZ07_system_argparse.py
597 Memory Usage Tracker: Use the psutil library (mock) to check and report the current CPU and memory usage of the running script/system. ZZ. System ZZ08_system_resource_monitor.py
598 Multithreading (Basic): Use the threading module to run two simple functions concurrently to demonstrate multithreading. ZZ. System Adv ZZ09_system_multithreading.py
599 Multiprocessing (Basic): Use the multiprocessing module to run two simple functions in parallel processes. ZZ. System Adv ZZ10_system_multiprocessing.py
600 Producer-Consumer Pattern: Implement the Producer-Consumer pattern using a Queue for thread-safe data exchange between two threads. ZZ. System Adv ZZ11_system_producer_consumer.py
601 Basic Unit Testing (unittest): Write a simple function and create a unit test case for it using Python's built-in unittest module. ZZ. System Adv ZZ12_system_unit_testing.py

Day 54: Advanced Web Projects & DevOps (11 Programs)

Focus: Finalizing web apps, advanced Flask features, and API design.

# Program Description (Focus) Category Filename
602 Full CRUD Blog (Database Setup): Implement the full database model for a blog that includes User, Post, and Comment tables (mock). AAA. Flask Adv AAA01_flask_blog_db_model.py
603 Full CRUD Blog (Commenting): Implement the Flask route and database logic to allow a logged-in user to add a comment to a post. AAA. Flask Adv AAA02_flask_blog_comment.py
604 Full CRUD Blog (Post Deletion): Implement a secure route for deleting a post, ensuring only the original author or an admin can delete it. AAA. Flask Adv AAA03_flask_blog_post_delete.py
605 Flask CLI Commands: Define a custom command using Flask's CLI (@app.cli.command()) for tasks like setting up the database. AAA. Flask Adv AAA04_flask_cli_command.py
606 Rate Limiting (Mock): Implement a mock rate-limiting mechanism in a Flask route to prevent users from hitting an API endpoint too frequently. AAA. Flask API AAA05_flask_api_rate_limit.py
607 Microservices: Inter-Service Communication (Mock): Simulate a Flask service making an API call to another mock Flask service. AAA. DevOps AAA06_devops_microservice_call.py
608 Environment Check Script: Write a Python script to check for the required Python version, necessary system dependencies (mock), and environment variables before deployment. AAA. DevOps AAA07_devops_env_check.py
609 Flask: API to Manage Server List: Create a Flask API that uses a mock database to manage a list of server hostnames and their statuses (Read/Write). AAA. DevOps AAA08_flask_server_list_api.py
610 Monitoring Web App (Health Check Endpoint): Create a basic Flask app with a /health endpoint that returns JSON status information (e.g., uptime, DB status mock). AAA. DevOps AAA09_flask_health_endpoint.py
611 Data Pipeline Mock (ETL): Write a function simulating an ETL (Extract, Transform, Load) process using Pandas for the transform stage. AAA. DevOps AAA10_devops_etl_mock.py
612 Version Control Fundamentals (GitPython Mock): Use a mock GitPython client to programmatically commit files and check repository status. AAA. DevOps AAA11_devops_gitpython_mock.py

Day 55: Final Capstone Projects (12 Programs)

Focus: Bringing together multiple concepts in large application scenarios.

# Program Description (Focus) Category Filename
613 Blackjack Game (Full OOP): Fully object-oriented implementation of the card game with Deck, Card, and Player classes. BBB. Capstone BBB01_capstone_blackjack_oop.py
614 Space Invaders Game (Basic Logic): Implement the core game loop, player movement, and bullet firing logic (using a game library mock). BBB. Capstone BBB02_capstone_space_invaders.py
615 Breakout Game (Collision Logic): Implement ball movement and collision detection logic with paddles and blocks. BBB. Capstone BBB03_capstone_breakout_collision.py
616 Disappearing Text Writing App (Tkinter/Timer): Implement the full Tkinter GUI with the timer and auto-clear functionality. BBB. Capstone BBB04_capstone_disappearing_text_gui.py
617 Personal Portfolio Website (Flask/Templates): Build a multi-page Flask application using templates to display portfolio sections (Home, About, Projects). BBB. Capstone BBB05_capstone_portfolio_flask.py
618 Typing Speed Test Desktop App (Tkinter/Logic): Implement the Tkinter interface, text display, and typing speed calculation logic. BBB. Capstone BBB06_capstone_typing_speed_test.py
619 Cafe & Wifi Website (Kanban CRUD): Implement the full web application for the Kanban/Todo list, allowing items to be moved between status columns (mock DB). BBB. Capstone BBB07_capstone_kanban_web.py
620 Virtual Bookshelf (Advanced UI/Authentication): Combine user authentication (Flask-Login) with the CRUD database for a personalized bookshelf experience. BBB. Capstone BBB08_capstone_bookshelf_auth.py
621 Deployment: Dockerizing a Flask App: Create a Dockerfile and a simple entry point script (app.py) for a Flask application. CCC. Deployment CCC01_deployment_dockerfile.py
622 Deployment: Gunicorn/WSGI Server: Write a simple startup script to run the Flask application using Gunicorn (mock). CCC. Deployment CCC02_deployment_gunicorn.py
623 Deployment: CI/CD Pipeline Mock (GitHub Actions): Write a YAML structure that simulates a CI/CD pipeline using GitHub Actions to build, test, and deploy (mock stages). CCC. Deployment CCC03_deployment_github_actions.py
624 Deployment: Serverless Function (Mock Lambda): Write a Python function structured to run in an AWS Lambda or Google Cloud Function environment (event handler). CCC. Deployment CCC04_deployment_serverless_mock.py