semvec/pypi-packages huggingface dataset:
seispack 0.3.2
Python Tools for asteroseismic data analysis
Requires Python: >=3.10
Keywords: stellar physics, asteroseismology, data analysis

# seispack: a python package for asteroseismic data analysis

## Content

[[_TOC_]] 

[//]: # (The line above generates automatically the Table of Content on gitlab.)

## Purpose

This package gather various tools useful for seismic data analysis. It is especially used by the `abim` code.

## Prerequisites

In order to install `seispack`, you will need: `numpy`, `scipy`, `matplotlib`

## Installation

For safety, we recommend to use a dedicated python environment (for example by using `pyenv` or `conda`) to avoid conflicts. Be sure that `pip` is installed, and run the following procedure:

### Installation with pip

```bash
pip install seispack
```

### Installation from gitlab of the last version

The package is available on a git repository: [gitlab.in2p3.fr/astero/seispack](https://gitlab.in2p3.fr/astero/seispack). You can download it from there or clone it:
```bash
# clone with ssh:
git clone git@gitlab.in2p3.fr:astero/seispack.git  # requires a ssh key!
# or clone with https:
git clone https://gitlab.in2p3.fr/astero/seispack.git # using login/password
```
then you can install it with pip
```bash
cd seispack
python -m pip install -e .
```
The option `-e` (for "editable") can be removed. It just links the package modules to the source. Since this code evolved quickly, each modification is immediately available without re-installation.


## Use

### `seispack` basic functions

Under construction

### Examples

Under construction

## Authors

* **Jérôme Ballot** - Maintainer - (IRAP - CNRS, Université de Toulouse)
openbandparams 1.0
open source semiconductor band parameters
Requires Python: >=3.6

The main goal of this project is to provide easy access to semiconductor
band parameters for calculations and simulations. Basic functionality
requires only the standard python distribution.

Example scripts are provided for basic usage and for generating common
plots such as bandgap vs. lattice constant and bandgap vs. alloy
composition.

Materials included in this version:

- III-V Zinc Blendes
    - Binaries
        - AlN, GaN, InN,
          AlP, GaP, InP,
          AlAs, GaAs, InAs,
          AlSb, GaSb, InSb
    - Ternaries
        - AlGaN, AlInN, GaInN,
          AlGaP, AlInP, GaInP,
          AlGaAs, AlInAs, GaInAs,
          AlGaSb, AlInSb, GaInSb,
          AlNP, GaNP, InNP,
          AlNAs, GaNAs, InNAs,
          AlPAs, GaPAs, InPAs,
          AlPSb, GaPSb, InPSb,
          AlAsSb, GaAsSb, InAsSb
    - Quaternaries
        - AlNPAs, AlPAsSb,
          GaNPAs, GaPAsSb,
          InNPAs, InPAsSb,
          AlGaInN, AlGaInP, AlGaInAs, AlGaInSb,
          AlGaNP, AlInNP, GaInNP,
          AlGaNAs, AlInNAs, GaInNAs,
          AlGaPAs, AlInPAs, GaInPAs,
          AlGaPSb, AlInPSb, GaInPSb,
          AlGaAsSb, AlInAsSb, GaInAsSb

Parameters included in this version:

- lattice constants
- thermal expansion coefficients
- bandgap energies (direct and indirect)
- Varshni parameters
- split-off energies
- effective masses
- Luttinger parameters
- Kane parameters (Ep and F)
- Valance band offsets
- band deformation potentials
- elastic constants
- alloy bowing parameters
- effects of biaxial strain

The `source code`_ and `documentation`_ are graciously hosted by GitHub.

.. _source code: https://github.com/duarte-jfs/openbandparams/
.. _documentation: https://duarte-jfs.github.io/openbandparams/