Python Environment
Set up Python environments
Python Environment
Python
I prefer using Conda environment for managing Python packages, but you can also use Python’s built-in venv module or pip for package management.
Environments Management
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# Create a virtual environment in the current directory
python3 -m venv py_env
# Create a virtual environment with a specific Python version
python3.9 -m venv my_py39_env
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# Activate the environment on macOS/Linux
source py_env/bin/activate
# View installed packages in the environment
pip3 list
# Deactivate the active virtual environment
deactivate
# Delete the virtual environment folder (after deactivation)
rm -rf py_env
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# Save the current environment's dependencies to a requirements file
pip3 freeze > requirements.txt
# Install all packages listed in a requirements.txt file
pip3 install -r requirements.txt
# --- requirements.txt ---
numpy==1.22.4
pandas==1.4.3
matplotlib>=3.3,<4.0
scikit-learn>=0.24
Package Management
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# Upgrade pip to the latest version
pip3 install --upgrade pip
# Install specific packages
pip3 install jupyter
pip3 install pandas numpy matplotlib
# Uninstall a specific package
pip3 uninstall package_name
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