These are my go-to libraries for Python data crunching.

This project uses Python Pandas to process Apple's 5-year annual report Excel financial data, and Matplotlib to build multi-dimensional financial trend charts. It analyzes operating revenue, net ...

Publication-quality matplotlib/seaborn charts from a one-line prompt. Colorblind-accessible, despined, annotation-rich figures using DejaVu Sans, cubehelix/ColorBrewer palettes, and whitegrid styling.

This article is an introductory guide for those who are interested in quantitative analysis or system trading but are completely new to programming (Python). It explains the steps to set up an ...

The professional world has pretty much lived by the unspoken rule that Microsoft Excel is the essential foundation for anything numerical. It's universally accessible and really powerful for simple ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...