diff --git a/Day-01/01-shell-vs-python.md b/Day-01/01-shell-vs-python.md
index a93827f8..a884259d 100644
--- a/Day-01/01-shell-vs-python.md
+++ b/Day-01/01-shell-vs-python.md
@@ -1,6 +1,6 @@
 Certainly! The choice between using shell scripting and Python in DevOps depends on the specific task or problem you're trying to solve. Both have their strengths and are suitable for different scenarios. Here are some guidelines to help you decide when to use each:
 
-**Use Shell Scripting When:**
+**Use Shell Scripting When:** 
 
 1. **System Administration Tasks:** Shell scripting is excellent for automating routine system administration tasks like managing files, directories, and processes. You can use shell scripts for tasks like starting/stopping services, managing users, and basic file manipulation.
 
@@ -24,4 +24,4 @@ Certainly! The choice between using shell scripting and Python in DevOps depends
 
 5. **Error Handling:** Python provides better error handling and debugging capabilities, which can be valuable in DevOps where reliability is crucial.
 
-6. **Advanced Data Processing:** If your task involves advanced data processing, data analysis, or machine learning, Python's rich ecosystem of libraries (e.g., Pandas, NumPy, SciPy) makes it a more suitable choice.
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+6. **Advanced Data Processing:** If your task involves advanced data processing, data analysis, or machine learning, Python's rich ecosystem of libraries (e.g., Pandas, NumPy, SciPy) makes it a more suitable choice.