Skip to main content

Scripts for condense matter calculations and post-processing.

Project description

Various scripts for condense matter calculations and post-processing.

https://badge.fury.io/py/rad-tools.svg Documentation Status https://static.pepy.tech/personalized-badge/rad-tools?period=total&units=international_system&left_color=black&right_color=blue&left_text=Downloads https://img.shields.io/badge/code%20style-black-000000.svg GitHub

The package covers post-processing scenarios for the results of Quantum Espresso, TB2J and Wannier90, as well as provides some custom scripts.

It is expected to be used in two ways:

  • As Python library

  • Via scripts (i.e. usage from command line)

For the detailed description check documentation.

Installation

Requirement for RAD-tools installation are:

  • Python itself (>=3.6)

  • NumPy

  • SciPy

  • matplotlib

  • tqdm

  • termcolor

RAD-tools can be installed with pip or from source.

pip

To install RAD-tools, run (you may need to use pip3):

pip install rad-tools

Installing from source

  • Clone the project to your local computer:

git clone git@github.com:adrybakov/rad-tools.git
  • Change the directory:

cd rad-tools
  • To install RAD-tools, run (you may need to use pip3):

pip install rad-tools

Additionally you may run the unit tests, which requires pytest (requires Python 3.7+) to be installed:

make test

To install pytest, run (you may need to use pip3):

pip install pytest

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rad-tools-0.7.5.tar.gz (67.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rad_tools-0.7.5-py3-none-any.whl (80.4 kB view details)

Uploaded Python 3

File details

Details for the file rad-tools-0.7.5.tar.gz.

File metadata

  • Download URL: rad-tools-0.7.5.tar.gz
  • Upload date:
  • Size: 67.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for rad-tools-0.7.5.tar.gz
Algorithm Hash digest
SHA256 86bc6f4c7d82117892a29fa8d4149c3c89cdef1c3583ff8b513f3c3eca46ec28
MD5 60d36db86139aa190876ae7ed12993e8
BLAKE2b-256 27ac3810002cc41737770a04b7a8e042a2a2d11f9a3923d433e0f47add2f949c

See more details on using hashes here.

File details

Details for the file rad_tools-0.7.5-py3-none-any.whl.

File metadata

  • Download URL: rad_tools-0.7.5-py3-none-any.whl
  • Upload date:
  • Size: 80.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for rad_tools-0.7.5-py3-none-any.whl
Algorithm Hash digest
SHA256 d1320ed6ee80e736c11c16a95aadb93a950321f1f360199ecf6a71a1e8c00fb5
MD5 51df82402c310e44816953e362e6fe9b
BLAKE2b-256 7948f70d41ad31541b9c7a124bb2c1eb77a63076d581457c04cc51d344652185

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page