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.
