User Guide: Managing Python with Conda (Miniconda)

Conda helps you manage Python versions and libraries for different projects by creating environments. Each environment is like a separate toolbox, keeping everything organized and conflict-free.

Why Use Conda? 🤔

• Separate Environments: Each project gets its own Python version and libraries.
• Avoid Conflicts: Project A needing Library v1.0 won't break Project B needing Library v2.0.
• Rule #1: Always create a new environment for each project. Avoid installing project-specific tools in the default (base) environment.

Quick Start: Create Your First Environment 🚀

Let’s create an environment for a web project using Flask.

1. Open Your Terminal: Launch iTerm2.
2. Create the Environment: Name it flask_project and use Python 3.11.

   conda create --name flask_project python=3.11
   

   • Conda will list the packages it needs to install. Type y and press Enter.
3. Activate the Environment: Step into your new environment.

   conda activate flask_project
   

   • Your prompt will now show (flask_project), indicating the environment is active.
4. Install Libraries: Use pip to install Flask.

   pip install Flask
   

5. Work on Your Project: Create and run your Python files.

   touch app.py
   python app.py
   

6. Deactivate the Environment: Exit when you're done.

   conda deactivate
   

Essential Conda Commands Cheat Sheet 📝

• List Environments:

  conda env list
  

  • Example Output:

    base                  * /opt/homebrew/Caskroom/miniconda/base
    flask_project            /opt/homebrew/Caskroom/miniconda/base/envs/flask_project
    

• Create an Environment:

  conda create --name <env_name> python=<version>
  # Example:
  conda create --name data_sci python=3.10
  

• Activate an Environment:

  conda activate <env_name>
  

• Deactivate an Environment:

  conda deactivate
  

• Install a Package:

  conda install <package_name>
  # Example:
  conda install numpy pandas matplotlib
  

• Remove an Environment:

  conda env remove --name <env_name>
  

• Export Environment to File:

  conda env export > environment.yml
  

• Create Environment from File:

  conda env create -f environment.yml
  

Conda makes managing Python projects simple and organized. Start creating environments and enjoy hassle-free development!