RAD-TOOLS
Various scripts for condense matter calculations and post-processing.
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 (>=3.8)
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
Metadata
Release files for rad-tools 0.8.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rad-tools-0.8.5.tar.gz | 124.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rad_tools-0.8.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 298.7 kB
Release files / rad-tools-0.8.5.tar.gz
| Download URL | rad-tools-0.8.5.tar.gz |
|---|---|
| Size | 124.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.5
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Release files / rad_tools-0.8.5-py3-none-any.whl
| Download URL | rad_tools-0.8.5-py3-none-any.whl |
|---|---|
| Size | 173.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
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