How To Create And Activate Python Virtual Environment
How To Create & Activate The Built-in Python Virtual Environment
Learn how to master Python Virtual Environments (venv) in this comprehensive tutorial by Dele Oke. Whether you're a beginner or an experienced developer, understanding how to isolate your project dependencies is crucial for clean, conflict-free coding.
In this video, we cover:
✅ What a Python Virtual Environment is and why you need one.
✅ Prerequisites: Setting up VS Code, Python 3.10+, and Git Bash.
✅ How to create and activate a virtual environment on both Windows and Mac/Linux.
✅ Managing dependencies using pip install, pip list, and requirements.txt.
✅ A live demonstration of running a Python script (Pillow image processing) within an isolated environment.
Using a virtual environment ensures that your global Python installation remains untouched while allowing each project to have its own specific library versions.
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Timestamps
0:00 - Introduction: What is a Python Virtual Environment?
0:33 - The venv Module vs. 3rd-Party Options
1:58 - Prerequisites & Setup (VS Code, Git Bash)
3:08 - Commands to Create & Activate venv
4:20 - Live Demo: Creating the venv in VS Code
5:32 - Activating the venv (Windows vs. Mac/Linux)
6:33 - Verifying Activation with 'which python'
7:00 - Installing & Checking Dependencies (pip install)
8:20 - Advanced Management: requirements.txt & Deactivation
9:40 - Running a Python Script in the Virtual Environment
11:58 - Final Thoughts & Conclusion
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