semvec/pypi-packages huggingface dataset:
qicna 0.3.6
Quasi-isodynamic Stellarator Construction
License: MIT
Requires Python: >=3.6

About pyQIC
=

```pyQIC``` is a python package for generating quasi-isodynamic stellarator configurations using an expansion about magnetic axis.  pyQIC is written in pure python. This makes pyQIC user-friendly, with no need for compilation. though it is slower.

This code implements the equations derived by Garren and Boozer (1991) for MHD equilibrium near the magnetic axis.
It is similar to pyQSC but does not assume quasisymmetry.

Requirements
=
```pyQIC``` has minimal dependencies - it requires only python3, numpy, scipy, matplotlib. If you don't already have numpy, scipy and matplotlib, they will be installed automatically by the ***pip install*** step in the **Run the Code** section.



USEFUL LINKS
=
If you need more help regarding near-axis stellarators, you can check the documentation for the quasi-symmetric version of pyQIC: click [here](https://landreman.github.io/pyQSC/getting_started.html#)


INSTALLATION
=
Installation from pypi can be done via
```
pip install qicna
``` 
<br>

To install the code locally, you can run
<br>

First of all you need to copy the folders and the files with the "git clone" command, followed by the GitHub repository's link.
Example:
```
git clone https://github.com/rogeriojorge/pyQIC.git
``` 
<br>


Then, install the package in your local Python environment with:
```
cd pyQIC
pip install -e .
```
<br>

Then you also need to install the libraries below:<br>
  ***numpy<br>
  scipy<br>
  matplotlib***
  
Example: 
```
pip install numpy scipy matplotlib
``` 
<br>

RUN THE CODE
=

To run this code, you will need to use Python and insert the following command:

```
from qic import Qic
stel = Qic.from_paper('r2 section 5.2')
```
<br>
python-gilt 2.2.5
A GIT layering tool
License: MIT

[![release](https://img.shields.io/github/release/retr0h/gilt.svg?style=for-the-badge)](https://github.com/retr0h/gilt/releases/latest)
[![codecov](https://img.shields.io/codecov/c/github/retr0h/gilt?token=clAMnFQCEQ&style=for-the-badge)](https://codecov.io/gh/retr0h/gilt)
[![go report card](https://goreportcard.com/badge/github.com/retr0h/gilt?style=for-the-badge)](https://goreportcard.com/report/github.com/retr0h/gilt/v2)
[![license](https://img.shields.io/badge/license-MIT-brightgreen.svg?style=for-the-badge)](LICENSE)
[![build](https://img.shields.io/github/actions/workflow/status/retr0h/gilt/go.yml?style=for-the-badge)](https://github.com/retr0h/gilt/actions/workflows/go.yml)
[![powered by](https://img.shields.io/badge/powered%20by-goreleaser-green.svg?style=for-the-badge)](https://github.com/goreleaser)
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# Gilt

<img src="https://github.com/retr0h/gilt/raw/main/asset/gilt.png" align="left" width="250px" height="250px" />

Gilt is a tool which aims to make repo management, manageable.  Gilt
clones repositories at a particular version, then overlays the repository to
the provided destination.  An alternate approach to "vendoring".

What makes Gilt interesting, is the ability to overlay particular files and/or
directories from the specified repository to given destinations. Originally,
this was quite helpful for those using Ansible, since libraries, plugins, and
playbooks are often shared, but Ansible's [Galaxy][] has no mechanism to handle
this.  Currently, this is proving useful for overlaying [Helm charts][].

<br clear="left"/>

## Documentation

[Installation][] | [Usage][] | [Documentation][]

[Installation]: https://retr0h.github.io/gilt/installation
[Usage]: https://retr0h.github.io/gilt/usage
[Documentation]: https://retr0h.github.io/gilt/

## License

The [MIT][] License.

The logo is licensed under the [Creative Commons NoDerivatives 4.0 License][],
and designed by [@nanotron][].
If you have some other use in mind, contact us.

[Galaxy]: https://docs.ansible.com/ansible/latest/reference_appendices/galaxy.html
[Helm charts]: https://helm.sh/docs/topics/charts/
[MIT]: LICENSE
[Creative Commons NoDerivatives 4.0 License]: https://creativecommons.org/licenses/by-nd/4.0/
[@nanotron]: https://github.com/nanotron