Written by Michael Gold on October 29, 2018

One of the things I like most about studying a new topic is learning about the tools used by practitioners in that field.

Through my process of implementing computer vision / deep learning research papers, I became aware of the Python Pandas module that is widely used by data scientists.

When used within a Jupyter Notebook, Pandas gives the user nearly the full feature-set of spreadsheet software like Excel or Google Sheets along with the capability to work with data programmatically in Python and quickly output scratch spreadsheets.

In the image above I was able to merge the results of two different python functions and display it as a nice looking spreadsheet in just a few lines of code.

Getting started with Pandas is easy.

It’s well documented, and the features that replace Excel formulas are pretty intuitive.

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