diff --git a/Day-01/01-shell-vs-python.md b/Day-01/01-shell-vs-python.md
index a93827f8..ce2f6091 100644
--- a/Day-01/01-shell-vs-python.md
+++ b/Day-01/01-shell-vs-python.md
@@ -8,7 +8,7 @@ Certainly! The choice between using shell scripting and Python in DevOps depends
 
 3. **Rapid Prototyping:** If you need to quickly prototype a solution or perform one-off tasks, shell scripting is usually faster to write and execute. It's great for ad-hoc tasks.
 
-4. **Text Processing:** Shell scripting is well-suited for tasks that involve text manipulation, such as parsing log files, searching and replacing text, or extracting data from text-based sources.
+4. **Text Processing:** Shell scripting is well-suited for tasks that involve text manipulation, such as parsing log files, searching and replacing text, or extracting data from text-based sources.by using curl command
 
 5. **Environment Variables and Configuration:** Shell scripts are useful for managing environment variables and configuring your system.
 
@@ -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.