A set of Data analysis tools in pYTHON 3.x.
Dython was designed with analysis usage in mind - meaning ease-of-use, functionality and readability are the core values of this library.
Dython can be installed directly using pip:
pip install dython
or, via the conda package manager:
conda install -c conda-forge dython
Modules documentation can be found on shakedzy.xyz/dython. You can also learn more and see examples of the main methods of this library on these blogposts.
Contributions are always welcomed - if you found something you can fix, or have an idea for a new feature, feel free to write it and open a pull request. Please make sure to go over the contributions guidelines.
Use this reference to cite if you use Dython in a paper:
@software{Zychlinski_dython_2018,
author = {Zychlinski, Shaked},
title = {{dython}},
year = {2018},
url = {https://github.com/shakedzy/dython},
doi = {10.5281/zenodo.12698421}
}
FAQs
A set of data tools in Python
We found that dython demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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