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. Production-grade performance, on the other hand, were not considered.

Modules documentation can be found on shakedzy.xyz/dython

Dython can be installed directly using pip:

pip install dython

Or, via the conda package manager:

conda install -c conda-forge dython

If you wish to install from source:

pip install git https://github.com/shakedzy/dython.git

Dependencies: numpy, pandas, seaborn, scipy, matplotlib, sklearn, scikit-plot

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.

Change log is available, see CHANGELOG.md.

Learn more about some of the main methods of this library and their usage on these blogposts.