GithubHelp home page GithubHelp logo

richardscottoz / apsg Goto Github PK

View Code? Open in Web Editor NEW

This project forked from ondrolexa/apsg

0.0 0.0 0.0 61.22 MB

Structural geology package for Python

Home Page: https://apsg.readthedocs.io

License: Other

Python 100.00%

apsg's Introduction

APSG logo

PyPI - Version Conda Documentation Status DOI

What is APSG?

APSG is the package for structural geologists. It defines several new python classes to easily manage, analyze and visualize orientational structural geology data.

Major changes in class names and API from version 1.0.0

APSG has been significantly refactored from version 1.0 and several changes are breaking backward compatibility. The main APSG namespace provides often-used classes in lowercase names as aliases to PascalCase convention used in modules to provide a simplified interface for users. The PascalCase names of classes use longer and plain English names instead acronyms for better readability.

Check documentation for more details.

Requirements

You need Python 3.8 or later to run APSG. The package requires NumPy and SciPy, and Matplotlib.

Quick start

APSG can be installed using pip:

pip install apsg

If you want to run the latest version of the code, you can install it from git:

pip install git+https://github.com/ondrolexa/apsg.git

Alternatively, you can download the package manually from the GitHub repository https://github.com/ondrolexa/apsg, unzip it, navigate into the package, and use the command:

python setup.py install

or

pip install .

Upgrading via pip

To upgrade an existing version of APSG from PyPI, execute

pip install apsg --upgrade --no-deps

Please note that the dependencies (Matplotlib, NumPy and SciPy) will also be upgraded if you omit the --no-deps flag; use the --no-deps ("no dependencies") flag if you don't want this.

Conda

The APSG package is also available on conda-forge channel.

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing apsg

Installing apsg from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, apsg can be installed with:

conda install apsg

It is possible to list all of the versions of apsg available on your platform with:

conda search apsg --channel conda-forge

Documentation

Explore the full features of APSG. You can find detailed documentation here.

Contributing

Most discussion happens on Github. Feel free to open an issue or comment on any open issue or pull request. Check CONTRIBUTING.md for more details.

Donate

APSG is an open-source project, available for you for free. It took a lot of time and resources to build this software. If you find this software useful and want to support its future development please consider donating me.

Donate via PayPal

License

APSG is free software: you can redistribute it and/or modify it under the terms of the MIT License. A copy of this license is provided in LICENSE file.

apsg's People

Contributors

ondrolexa avatar 4e1e0603 avatar dependabot[bot] avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.