https://github.com/scientific-python/installer
Executable installers for core scientific Python packages
https://github.com/scientific-python/installer
Last synced: 2 months ago
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Executable installers for core scientific Python packages
- Host: GitHub
- URL: https://github.com/scientific-python/installer
- Owner: scientific-python
- License: bsd-3-clause
- Created: 2025-05-12T18:48:18.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-12-15T05:16:21.000Z (4 months ago)
- Last Synced: 2025-12-18T01:14:38.614Z (4 months ago)
- Language: Shell
- Size: 1.49 MB
- Stars: 0
- Watchers: 5
- Forks: 2
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Installers for core Scientific Python packages
Installers for the core Scientific Python packages for macOS, Windows, and Linux.
## Who should use these installers?
These installers are double click (macOS, Windows) or simple command line
installers (Linux) for the standard packages for general scientific Python and
data science. The installer includes packages such as:
* Jupyter (for interactive notebooks);
* Numpy (for arrays);
* Scipy (extended scientific computing);
* Matplotlib (plotting);
* Pandas (data science);
* Statsmodels (statistics);
* Scikit-Image (image processing);
* Scikit-Learn (machine learning and statistics);
as well as many others. See the `./recipes/scientific-python/construct.yaml`
file for details.
We imagine these installers will be particularly useful for beginner students
taking courses in science, statistics or data science, to get them up and
running with a single download and install step.
## Where can I get the installers?
We will make a release soon. When we have done so, please visit [the release
page](https://github.com/scientific-python/installer/releases/latest) to
download an installer for your OS.
## Development
Locally, installers can be built using `tools/build_local.sh`. Steps:
1. Set up and activate a `conda` env with a forked version of `constructor`:
```console
$ conda env create -f environment.yml
$ conda activate constructor-env
```
2. Run `./tools/build_local.sh`.
3. Install the environment for your platform.
4. Test it using the `tests/`.