This release is a pre-release and may not be stable for production use.
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.
Version 0.5.0 is under way!
Work on the next version of Dython has begun. This includes fixes to open bugs, new features and a deterministic explicit API (removal of kwargs from methods). You can check project's status on the Version 0.5.0 Project Page.
Bugs and features added from this point forward will be considered, but not guaranteed, to be a part of the new version.
If you'd like to contribute, please see how on CONTRIBUTING.md.
Documentation:
Modules documentation can be found on shakedzy.xyz/dython
Installation:
Dython can be installed directly using pip:
pip install 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:
- Read more about the Nominal tools on The Search for Categorical Correlation
- Read more about using ROC graphs on Hard ROC: Really Understanding & Properly Using ROC and AUC
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