Happy to announce the first version release of researchpy! This Python library was developed by Corey Bryant (from Python for Data Science) to provide the commonly desired information for academic research. Content on this site will be updated with demonstrations of this package in use.
Until then, and for more information, examples are provided in the library’s documentation. The library can be downloaded using:
pip install researchpy
conda install -c researchpy researchpy
Python for Data Science will be a reference site for some, and a learning site for others. The purpose is to help spread the use of Python for research and data science applications, and explain concepts in an easy to understand way.
If you are starting off fresh with no knowledge, this is the recommended order. Examples are provided for every topic!
Topics coming soon
Please feel free to contact about suggested content to add or topics you wish to be explained.
- More Inferential Statistics with Explanations
- Plotting & Graphing
Python for Data Science, LLC. looks forward to helping you learn Python and applying your new skills to research applications.
All code has been “pretty formatted” using http://hilite.me/