This document discusses using virtualenv, pip, and virtualenvwrapper to create isolated Python environments for different projects. Virtualenv allows separating project dependencies and avoiding permission issues. The steps covered include installing the tools, creating and activating virtual environments, installing packages within an environment using pip, switching between environments, and customizing environments. Benefits highlighted include isolating dependencies, using different Python and package versions per project, and pip features like requirements files and package management.

1. virtualenv, pip & virtualenvwrapper OR Saving your sanity while working with multiple python projects

3. Decouples our development environment from our system.

4. You don't need sudo.

5. It's agile (buzzword compliant).

6. Easy to test different versions.

8. sudo pip install virtualenv

9. sudo pip install virtualenvwrapper

10. Edit $HOME/.bashrc and add the following line: source /usr/local/bin/virtualenvwrapper.sh

13. pip install -r requirements.txt

14. pip install -U django (upgrades)

15. pip install -e (repo path – See docs)

24. pip freeze can generate a requirements file that can be read by pip install -r

25. pip can search the python package index (PyPi)

26. Supports uninstallation of packages.

27. Supports git, hg, bzr.

28. Easier to type.

31. Vim-virtualenv – vi support

33. virtualenvwrapper: http://www.doughellmann.com/docs/virtualenvwrapper/

34. pip: http://www.pip-installer.org/en/latest/index.html

36. http://www.slideshare.net/ateamsolution/httpwwwslidesharenetconfirmmjy1ntq0mja7zxjpy0a

38. Presentation at: http://www.slideshare.net/jnials/virtualenv-9208950