![]() Or you can install the requirements from a file as you have in you list of steps. Imagine you have an application that needs version 2 of a library, but another. You will then be able to install Django according to the documentation. Virtualenv is a tool which allows us to make isolated python environments. If that command doesn't work properly because you're on Windows, each of the out of date packages can be updated like so: pip install -U A virtual environment is a way to have multiple, parallel instances of the Python interpreter, each with different package sets and different configurations. ![]() ![]() pip list -o -format json | jq -r '.name' | xargs -n 1 pip install -U Since Python 3.3, a subset of it has been integrated into the standard library under the venv. This command requires that you have jq installed (this may not work properly on Windows). virtualenv is a tool to create isolated Python environments. See more about virtualenv Seeders in the docs. The subset meaning that only part of virtualenvs functionality is in venv: venv can be slower since it does not have the 'app-data seed method'. If you want to know which packages may be out of date do the following: pip list -oĪnd if you see packages that are out of date, you can run the following command to update everything in one go. I think the virtualenv docs explain this the best: venv is a subset of virtualenv integrated into the standard library since Python 3.3. pip install wheelĪlso, some of the packages in a new virtual environment may not be current. I would recommend installing wheel at this point. conda create -n envname python x.x anaconda. Now replace the envname with the name you want to give to your virtual environment and replace x.x with the python version you want to use. To create a new virtual environment do the following: python3 -m venv venvĪt this point, you have a virtual environment ready to use. Type conda search python to see the list of available python versions. If you're using Python 3, you won't need to use this package anymore since the same capabilities are part of Python itself. The virtualenv package that can be installed from PyPI via pip is geared more for Python 2.
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