11/7/2023 0 Comments Venv multiple python versions![]() ![]() Simple.Īn analog to the Gemfile in Python would be similar to what most projects use as a requirements.txt. You can even run which python to see that it's actually directed at the venv directory structure. Once activated, your shell should reflect which virtual environment you're operating in. To activate this virtual environment, you simply source venv/bin/activate. You need Python 3.5 installed to create the Python 3.5 virtual environment. You create a directory for your project, cd into it, and run virtualenv venv for a simple virtualenv, but you can also specify which Python executable you'd like in your virtual environment with a -p python3.5 for a Python 3.5 virtual environment, for instance. Virtualenv workflows are usually pretty simple. Note that you can make pyenv activate the virtualenv when you cd the folder in your terminal by putting its name into your. If you want to work on different projects, just activate the environment you need and off you go! This way all the overhead that may be needed (setting a PATH etc.) will be handled by pyenv. To be able to reconstruct the environment if needed. Here you can do all the things you want, e.g., install your packages using pip etc.Īfter you completed setting up the environment, you can freeze the environment and create a requirements file: pip freeze > requirements.txt Which will open your distinct environment. My workflow (for one project to make it more readable) would be the following: pyenv install 3.5.1Īfter that you can simply activate the virtualenv created by pyenv using pyenv activate venv_myproject Don't forget to source the bash-file again after you change something with source ~/.bashrc or just open a new terminal. So you only type activate_proj1 in the terminal (tab completion also works) and both commands are executed. In a terminal, open (in my example) the ~/.bashrc with a text editor, e.g., Vim/ nano or one of your liking: nano ~/.bashrcĪnd somewhere near the end you can add a line with an alias to switch to the project directory and activate the environment at the same time: alias activate_proj1="cd ~/project_1 & pyenv activate venv_project_1" You could define an alias in your ~/.bashrc file or ~/.bash_aliases. How do I switch between projects (changing Python/virtual-environment I would always work in a per-project virtual environment, so other projects that may use some pinned version of a special package are not influenced. You can now always create a new environment using pip install -r requirements.txt If you want to pin the packages, you can do pip freeze > requirements.txtĪny time and the currently installed packages plus their version will be written to the textfile requirements.txt. ![]() To make sure if you are installing using pip install somepackage that you target the correct Python interpreter. In the terminal you currently have the the project environment activated. You can always check which Python interpreter is currently in use by typing which python All packages installed will exclusively be installed into that virtual environment you are currently working in. When you switch to the project environment after you created it, see my original answer below. How should I install per-project packages listed above? All packages you install will go there, especially if every environment will have a different Python version. When is an unique directory for virtual environments used? WhichĮvery virtual environment "lives" in its own folder. PS: I use Arch Linux as guest for a Vagrant box. In Ruby, there is a file named Gemfile where I can set which gems (with their respective versions) are installed for the current project, which is a very good idea. How do I switch between projects (changing Python/virtual-environment in the process) easily or painlessly? How should I install the per-project packages listed above? When is a unique directory for virtual environments used? Which option is recommended? Why? Should I do this? cd ~/Projects/PyA & pyenv local 3.4.3 & python3.4 -m venv proAĬd ~/Projects/PyB & pyenv local 3.5.1 & python3.5 -m venv proBĬd ~/Projects/P圜 & pyenv local 3.5.6 & python3.5 -m venv proCĬd ~/Projects/PyD & pyenv local 3.2 & python3.2 -m venv proD The first to do, we install the Python versions needed: pyenv install 3.4.3 ~/Projects/PyD: uses Python 3.2 with python-igraph. ![]() ~/Projects/P圜: uses Python 3.5.6 with Django 2.2.~/Projects/PyB: uses Python 3.5.1 with Django 2.1.~/Projects/PyA: uses Python 3.4.3 with Django 2.0.How to manage multiple Python versions and virtual environments Pyenv – Install Multiple Python Versions for Specific Project, ![]()
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