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virtual envs
Use any you like. venv+pip
come pre-installed with most versions of Python, are the most popular tools for managing virtual environments and packages, and are simple to use. Alternatives that are better at figuring out dependencies are pipenv
and poetry
.
Installation
$ sudo apt install python3-venv
Usage:
In the directory of a repository:
$ python3 -m venv ./venv
Activate:
$ source venv/bin/activate
Deactivate with deactivate
.
Install pip-tools with venv activated:
(venv) $ python -m pip install pip-tools
(venv) $ pip --version
(venv) $ python -m pip install --upgrade pip
(venv) $ pip --version
Usage:
(venv) $ pip list
If there is a requirements.txt (frozen requirements) install from that file (IF that works).
(venv) $ pip install -r requirements.txt
To freshly install all that is needed (for an existing repo with existing dependencies, this can break things), install pipreqs:
(venv) $ pip install pipreqs
Run pipreqs
in the project root folder, and pipreqs
generates a requirements.txt
file for any project based on imports. Then install from the created requirements.txt
with pip
:
(venv) $ pip install -r requirements.txt
pip freeze saves the packages that are installed with pip install:
(venv) $ python -m pip freeze > requirements.txt