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Python tools to work with elements and isotopes

Project description

Maintained License PyPI - Python Version PyPI Documentation Status Security Status

Description

The module presents basic information on chemical elements and nuclides including natural presence. The data is organized as Pandas tables. Pandas allows to use dataset approach on data indexing, joining and selecting. There are also some tools to work with composition fractions.

Installation

Examples

Contributing

Tests https://codecov.io/gh/MC-kit/mckit-nuclides/branch/master/graph/badge.svg?token=wlqoa368k8 https://img.shields.io/badge/code%20style-black-000000.svg https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336 pre-commit

References

  1. Kim, Sunghwan, Gindulyte, Asta, Zhang, Jian, Thiessen, Paul A. and Bolton, Evan E.. “PubChem Periodic Table and Element pages: improving access to information on chemical elements from authoritative sources” Chemistry Teacher International, vol. 3, no. 1, 2021, pp. 57-65. https://doi.org/10.1515/cti-2020-0006

  2. Elements table. https://pubchem.ncbi.nlm.nih.gov/rest/pug/periodictable/CSV

  3. Coursey, J.S., Schwab, D.J., Tsai, J.J., and Dragoset, R.A. (2018-06-14), Atomic Weights and Isotopic Compositions (version 4.1). [Online] Available: http://physics.nist.gov/Comp [year, month, day]. National Institute of Standards and Technology, Gaithersburg, MD.

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