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Python & Pip

Tip

Docker might be used instead of direct python installation

To make sure python and pip are installed:

python --version  
pip --version

On *nix python usually reference python2. For python3:

python3 --version  
pip3 --version

Windows install

Download and install python manually or use chocolately:

choco install python

In Windows 10 python 3.9 could be installed from Windows Store: just type 'python' in console and windows will open Windows Store's python page. No additional actions required after installation.

Note that windows store python will require minium virtualenv 20.0.11 (or above). (if virtualenv not yet installed then no worry - plugin will install the correct version)

Linux/Macos install

On most *nix distributions python is already installed, but often without pip.

Install pip if required (ubuntu example):

sudo apt-get install python3-pip

Make sure the latest pip installed (required to overcome some older pip problems):

pip3 install -U pip

To install exact pip version:

pip3 install -U pip==20.0.11

Note that on ubuntu pip installed with python3-pip package is 9.0.1, but it did not(!) downgrade module versions (e.g. pip install click 6.6 when click 6.7 is installed will do nothing). Maybe there are other differences, so it's highly recommended to upgrade pip with pip3 install -U pip.

If you need to switch python versions often, you can use pyenv: see this article for ubuntu installation guide. But pay attention to PATH: plugin may not "see" pyenv due to different PATH (when not launched from shell).

Possible pip issue warning (linux/macos)

If pip3 list -o fails with: TypeError: '>' not supported between instances of 'Version' and 'Version' Then simply update installed pip version: python3 -m pip install --upgrade pip

This is a known issue related to incorrectly patched pip packages in some distributions.

Automatic pip upgrade

As described above, there are different ways of pip installation in linux and, more important, admin permissions are required to upgrade global pip. So it is impossible to upgrade pip from the plugin (in all cases).

But, it is possible inside virtualenv or user (--user) scope. Note that plugin creates virtualenv by default (per project independent python environment).

So, in order to use newer pip simply put it as first dependency:

python {
    pip 'pip:10.0.1'
    pip 'some_module:1.0'
}

Here project virtualenv will be created with global pip and newer pip version installed inside environment. Packages installation is sequential, so all other packages will be installed with newer pip (each installation is independent pip command).

The same will work for user scope: python.scope = USER

When applying this trick, consider minimal pip version declared in configuration (python.minPipVersion='9' by default) as minimal pip version required for project setup (instead of minimal version required for work).

Automatic python install

Python is assumed to be used as java: install and forget. It perfectly fits user use case: install python once and plugin will replace all manual work on project environment setup.

It is also easy to configure python on CI (like travis).

If you want automatic python installation, try looking on JetBrain's python-envs plugin. But be careful because it has some caveats (for example, on windows python could be installed automatically just once and requires manual un-installation).

Global python validation

For global python (when no pythonPath configured) plugin would manually search for python binary in $PATH and would throw error if not found containing entire $PATH. This is required for cases when PATH visible for gradle process is different to your shell path.

For example, on M1 it could be rosetta path instead of native (see this issue).

Validation could be disabled with:

python.validateSystemBinary = false

Note

This option is ignored if docker support enabled