Learn and code every day! Take notes.
Learn asking GOOD questions.
Learn to prioritize tasks. Focus on 1 thing!
Build something, anything. Build projects that bring some benefit to you or the people around you. 
Take small steps, but every day, consistency is very important.

• Important Skills
• Computer Science Basics
• Start Learning Python
• Discover some Python libraries
• Databases: SQL, NoSQL
• Web Development
• **Advanced Python

1. Algorithms and data structures
2. Programming mindset - analytical, problem-solving mindset
3. Know your programming language

• Harvard CS50 - Scratch, C, Arrays, Algorithms, Memory, Data structures, Python, SQL, HTML, CSS, JavaScript, Flask
• Optional Crash Course Computer Science

Learn the basics, watch a couple of tutorials, read articles, then build projects using Python. You don't need a web app, create a console app, or desktop apps. I will provide some project ideas below.

• 11 Beginner Tips for Learning Python Programming
• freeCodeCamp.org - Python beginning
• freeCodeCamp.org - Python intermediate
• Программирование на Python
• Learn TKinter
• 30-Days-Of-Python
• Readings:
  • Easy practical Python
  • w3schools.com
  • programiz.com
  • *pythontutorial.net - Python Basics and Python Advanced sections
  • **python-course.eu - only Python Tutorial section
  • **realpython.com
• Videos:
  • Corey Schafer, focus MORE on this!
• OOP in Python:
  • by Caleb Curry
  • by Corey Schafer
  • python-course.eu
  • pythontutorial.net
• Books:
  • Python Basics: A Practical Introduction to Python 3
  • *Python Tricks: A Buffet of Awesome Python Features
• Problem solving

• File handling: txt, json, csv, yaml
• Working with paths with pathlib and OS with os
• Sending HTTP request and receiving HTTP response with requests
• Building CLI with argparse
• Working with data collections, itertools
• Learn scrapping using beautiful-soup or *Selenium

• SQL
  • sqlbolt.com
  • w3schools.com
  • sqltutorial.org
• sqlite, sqlalchemy
  • Introduction to working with databases in Python
• Relationships: One-to-One, One-to-Many, Many-to-Many
• Data normalization

• Understand how Internet works, OSI & TCP/IP models, DNS, HTTP, REST API.
• HTML, CSS, JavaScript
  • Web design in 4 minutes
  • CS50: Web Programming Course
• Learn Django or Flask
  • Mozilla Developer Network, Django
  • Django girls
  • "Flask Web Development" Miguel Grinberg
  • "Building REST APIs with Flask" Kunal Relan
• See how others build projects using django, then build your own app.
  • Corey Schafer
  • Dennis Ivy
  • Building REST API
• Books:
  • "Django for beginners" by Vincent W.
  • "Django for APIs" by Vincent W.
  • "Django 3 by Examples"

• Clean code:
  • PEP 8 - Style Guide for Python Code
  • clean-code-python
  • testdriven.io
  • "Clean code in Python" book
  • LinkedIn Learning: Clean coding practices
  • typing
  • dataclasses
• Clean design:
  • Design principles: KISS, DRY, SOLID
  • Design patterns
• Concurrency, parallelism, asynchronicity programming:
  • Concurrency and parallelism
  • realpython.com
  • LinkedIn Learning: Part 1
  • LinkedIn Learning: Part 2
• Testing:
  • unittest, pytest
  • "Python testing with PyTest" book
  • *"TDD in Python" book
• Advanced topics:
  • python-course.eu
  • book.pythontips.com/
  • Python topics for Senior developers
  • Python best practices - realpython.com
  • Medium blog
  • thedigitalcatonline.com
  • *Python 3 Patterns, Recipes and Idioms
• Books:
  • "Fluent Python"
  • "Python Cookbook"
  • "Learning Python"
  • "Effective Python"
  • "Advanced Guide to Python 3"
  • "Mastering Object-Oriented Python"
  • "Expert Python Programming" 2021
  • "High performance Python"
  • "Practices of the Python Pro", "The Python workshop", "Python Workout"
  • and more