Python Project-Local Virtualenv Management Redux
An updated guide on managing Python virtual environments per-project using direnv and uv, with tips for cross-architecture development.
An updated guide on managing Python virtual environments per-project using direnv and uv, with tips for cross-architecture development.
A guide to preparing a Django application for deployment, covering virtual environments, production settings, and static files.
A hands-on tutorial on implementing deep reinforcement learning models using TensorFlow and the OpenAI Gym environment.
A tutorial on creating an Alexa skill to remotely control your computer using AWS Lambda and ngrok, even without a physical Alexa device.
A developer's journey from avoiding virtualenvs to adopting 'pew', a tool that simplifies Python virtual environment management.
Argues for the continued use of Python virtual environments (virtualenv/venv) to isolate projects from system Python packages, even in the age of containers.
A developer explains how broken software packaging led to user issues and how they automated testing with Travis CI and Tox to prevent future errors.
A guide to managing Python project dependencies within Docker containers, comparing methods like using distro packages and virtualenv.
An introduction to virtualenv, a tool for creating isolated Python environments to manage library dependencies for different projects.
Explores deploying Python applications using native system packages (Debian/RPM) for reproducible, scalable deployments, comparing it to container-based approaches.
A guide to installing Python packages using pip and virtualenv, including creating isolated environments and managing dependencies with requirements.txt.
A beginner's guide to setting up a Python development environment, including Python, virtualenv, and PostgreSQL.
A guide to setting up a virtual environment and project structure for Django applications, covering OSX and Ubuntu.
A developer explains their Python workflow using pip, virtualenv, and virtualenvwrapper to manage project dependencies and isolated environments.