Added new Managing dependencies section, fixed one typo (#7617)

* Added new Managing dependencies section, fixed one typo

* Apply suggestions from code review

Co-authored-by: Nick Trogh <[email protected]>

* Apply suggestions from code review

Co-authored-by: Courtney Webster <[email protected]>

* Review comment changes

---------

Co-authored-by: Nick Trogh <[email protected]>
Co-authored-by: Courtney Webster <[email protected]>

Author: 3 people

docs/python/python-tutorial.md

@@ -20,7 +20,7 @@ For a Data Science focused tutorial with Python, check out our [Data Science sec
 
 ## Prerequisites
 
-To successfully complete this tutorial, you need to first setup your Python development environment. Specifically, this tutorial requires:
+To successfully complete this tutorial, you need to first set up your Python development environment. Specifically, this tutorial requires:
 
 - [Python 3](/docs/python/python-tutorial.md#install-a-python-interpreter)
 - [VS Code](https://code.visualstudio.com/)
@@ -261,6 +261,34 @@ To install the required packages in your virtual environment, enter the followin
 
 1. Now, rerun the program, with or without the debugger, to view the output!
 
+### Managing dependencies across environments
+When working on Python projects, it’s essential to manage your dependencies effectively. One useful tip is to use the `pip freeze > requirements.txt` command. This command helps you create a `requirements.txt` file that lists all the packages installed in your virtual environment. This file can then be used to recreate the same environment elsewhere.
+
+Follow these steps to create a `requirements.txt` file:
+1. Activate your virtual environment, if you haven’t already.
+   
+   ```bash
+   source venv/bin/activate  # On macOS/Linux
+   ```
+   
+   ```powershell
+   .\venv\Scripts\activate   # On Windows
+   ```
+   
+2. Generate the `requirements.txt` file.
+   
+   ```powershell
+   pip freeze > requirements.txt
+   ```  
+
+You can now use the newly generated `requirements.txt` file to install dependencies in another environment. Furthermore, you can continue to add dependencies to it as your project may grow in complexity. 
+
+   ```powershell
+   pip install -r requirements.txt
+   ```
+
+By following these steps, you ensure that your project dependencies are consistent across different environments, making it easier to collaborate with others and deploy your project.
+
 Congrats on completing the Python tutorial! During the course of this tutorial, you learned how to create a Python project, create a virtual environment, run and debug your Python code, and install Python packages. Explore additional resources to learn how to get the most out of Python in Visual Studio Code!
 
 ## Next steps