- Conda install package in virtualenv how to#
- Conda install package in virtualenv mac#
- Conda install package in virtualenv windows#
Now just to show you quickly why virtualenvs are great, we’ll install a different version of requests in a different virtualenv. '/Users/mcw/projects/myenv/lib/python3.8/site-packages/requests/_init_.py' Type "help", "copyright", "credits" or "license" for more information. Installing collected packages: idna, chardet, urllib3, certifi, requests myenv/bin/activate # activates the 3.8.6 virtualenv to isolate our pip installs Seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/Users/mcw/Library/Application Support/virtualenv)Īdded seed packages: pip=20.2.4, setuptools=50.3.2, wheel=0.35.1Īctivators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator ❯ cd projectsĬreated virtual environment CPython3.8.6.final.0-64 in 407msĬreator CPython3Posix(dest=/Users/mcw/projects/myenv, clear=False, global=False) For this example, I’m putting the virtualenv in a projects directory, but you can put it anywhere you want, including in a hidden directory in our source tree like.
Now that virtualenv is installed in the Python environment, I can setup a virtualenv for our test project. Installing collected packages: appdirs, filelock, distlib, six, virtualenv ❯ pyenv which pip # show which executable is running for pip, it's the newly installed one ❯ pyenv shell 3.8.6 # sets the version just for this shell Installed Python-3.8.6 to /Users/mcw/.pyenv/versions/3.8.6 ❯ pyenv install -list | grep 3.8 # look for the latest 3.8 version
Conda install package in virtualenv windows#
This can all be run using the shell of your choice on Mac, Linux, or Windows using WSL.
Conda install package in virtualenv mac#
Note that all of these examples were run on a Mac running macOS Catalina and using zsh. use pip to install packages into that virtualenv.use the virtualenv command to make a virtualenv.As in that post, I’ll go ahead and install a unique Python version.
Conda install package in virtualenv how to#
virtualenvĪssuming you followed the installation steps in the first post on pyenv, you should already know how to setup your shell to use a specific version of Python. That is a topic for another post (or set of posts). In this post I’ll look at using basic virtualenv, the pyenv-virtualenv plugin, and anaconda to build an isolated virtual environment that has a package installed in it that will be isolated to that environment.īefore discussing these details, I’ll mention that this post does not talk about the complexity of maintaining package compatibility within virtual environments. What happens when one projects wants a specific version of a package that won’t work with another project? Instead, using virtualenv or anaconda is the way to go. Installing modules globally is rarely a good idea, especially if you are likely to use that Python version for more than one project. Most Python developers will work on more than one project at a time and want to install a number of Python packages for use in each project. But as a Python developer, the Python version is only one part of the environment.
It makes it simple to install multiple versions of Python on your workstation or server and control which version executes in a shell. In my earlier post, I wrote about how pyenv is a great tool for running multiple versions of Python on the same host.