Skip to main content

jaber is a package that generates 322 features for any material.

Project description

jabir

We developed the Python package named jabir to generate atomic features. It can generate 322 atomic features for any type of material, such as Electron Affinity, Electric Polarizability, Thermal Conductivity, Pettifor number, etc. Jabir calculates statistical relationships for each physical and chemical feature based on Element, Subscript, and Fraction.

Installation

Jaber employs some other libraries and packages to generate atomic features of materials, which need to be installed. These packages consist of pandas, numpy, mendeleev, pymatgen, chemparse and tqdm.

Note: If you encounter any difficulties installing these packages on your local system, you can utilize the Google colab environment to install and utilize them seamlessly.

How to use jabir

After installing jabir, simply execute the following two lines of code.

from jabir import main

print(main())

Project details


Download files

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

Source Distribution

jabir-0.0.3.tar.gz (14.7 kB view details)

Uploaded Source

Built Distribution

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

jabir-0.0.3-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file jabir-0.0.3.tar.gz.

File metadata

  • Download URL: jabir-0.0.3.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for jabir-0.0.3.tar.gz
Algorithm Hash digest
SHA256 fdeed61e714d147178d008122bb35439fee41eb32bc955264da8917fa79487d1
MD5 5e0168d915252ac94559efe3d395bc3c
BLAKE2b-256 c5b9defd3da402c05a8c438a3881cce1b29a22daec35a6a89cb388702825abb7

See more details on using hashes here.

File details

Details for the file jabir-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: jabir-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 14.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for jabir-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e2aeb533a4d843b4a727c92cd6a113ce3c265575e56851765353c2555c296bd4
MD5 50f77605f8eb8fa68f2b0759e162d5e1
BLAKE2b-256 5669074a2314d8b8134d06d0856fcadecd3a25c72b280ff27737a31b596a6a32

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