Preliminaries: Once and for All#
2 min read
1. Install UV#
UV will handle all the issues related to package management (dependencies, versioning, deployment) for you.
To install it, please follow the instructions from https://docs.astral.sh/uv/getting-started/installation/
Please install the standalone version
One of the benefit of UV is that it does not need to be attached to a specific Python distribution. It can use existing distributions if they are compatible with the requirements of a project, or it can ship its own versions. This means:
Having Python installed is not required.
If you break/update your global Python distribution, UV won’t be affected.
You can easily and transparently upgrade your Python version in your UV projects.
Check that it works:
$ uv --version
2. Install Package Helper 3#
In a terminal (Anaconda Prompt, Bash, Windows Powershell, etc):
$ uv tool install package-helper-3
This will install PH3 as a uv tool. Check that the installation is correct:
$ ph3 --help
Note
If you have a python distribution with pip
on your system, you can also install with
$ pip install package-helper-3
However, this will tie PH3 to your python distribution.
3. Create Accounts on the Websites#
Ensure that you have accounts (preferably with the same login) on:
Note
In previous PH3 versions, you were asked to get an API token from PyPI. This is not required anymore, as PyPI now proposes a Trusted Publishers approach.
4. Install Git#
Git will be used to maintain your projects branches locally and remotely.
Install git: https://git-scm.com/downloads. You may need to restart your computer.
Test it:
$ git --version
Ensure your version is recent enough (>=2.40).
5. Install Pandoc#
PH3 gives you the possibility to insert Jupyter Notebooks in your documentation. This requires the installation of the Pandoc converter: https://pandoc.org/installing.html
6. Install PyCharm#
Install using the binaries available here: https://www.jetbrains.com/pycharm/download/.
Link PyCharm to your GitHub account#
In PyCharm settings: Version Control → GitHub → Add account.
Two options are available:
Log In with Token. The first time, click on the generate button to open a GitHub page that will create an access token. Copy the token and paste it in PyCharm. PyCharm should remind it but to avoid generating a new token every other week you should keep a copy somewhere else as well (in a very safe place!).
Log In via GitHub will open a GitHub page to grant you access (2FA is likely to be required).
Change the documentation style
We recommend the Numpy documentation style.
In PyCharm settings: Tools → Python Integrated Tools → Docstrings → Docstring format → NumPy.