📦 Virtual Environments
Virtual environments allow you to manage dependencies for different projects separately.
💡 Quick Tip:
Mastering this concept will significantly boost your Python data science skills!
💻 Code Example:
# Run these in your terminal/command prompt
# Create a new environment named 'myenv'
python -m venv myenv
# Activate it on Windows
myenv\Scripts\activate
# Activate it on Linux/Mac
source myenv/bin/activate
| Feature | Benefit |
|---|---|
| Efficiency | Optimized for performance |
| Simplicity | Easy to read and write |
Keep exploring and happy coding! 🚀