Dython

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.

Documentation:

Modules documentation can be found on shakedzy.xyz/dython

Installation:

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

Contributing:

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:

Change log is available, see CHANGELOG.md.

Related blogposts:

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