Having gotten use to using Anaconda and Conda to create and manage Python projects, I recently found myself in the position of wanting the same degree of dependency management for different projects without the need of installing additional software. Luckily enough, Python 3.3+ supports virtual environments out of the box albeit in a very stripped-down forn. This short post is just to demonstrate how to use this neat tool - things that I have been consistently forgetting! Some of these steps are specific to the OS and shell that I use: macOS and ZSH. YMMV.
Assuming your version of Python supports virtual environments, you can create a new virtual environment in your terminal with,
which will create all the dependencies for the new virtual environment in the current working directory. You can also specify a path to your new virtual environment as well. For the purpose of development, it’s easier to activate a virtual environment to save you from consistently specifying the environment’s full path during development. To activate the virtual environment use,
Within the activated virtual environment, you can use pip as required to install particular dependencies. You can then save all your project dependencies to a text file,
and then use this to install the matching dependencies in another environment or project
Finally, leave your virtual environment with
All the best,