It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

If you’re PyPy, you start with something fast and make it more like the Python we know over time. Two competing projects trying to deliver a faster Python isn’t a bad thing.

Creating compelling and professional visuals and graphs in Excel requires both a clear understanding of your data and the ability to use Excel’s powerful charting tools effectively.