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Basic CSV file import and exploration with Pandas — first steps.

Josh Otwell
2 min readJul 31, 2019

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Having recently begun to use the Python pandas library in my day job to mitigate mostly redundant tasks with CSV files, I thought to step outside of my normal — and more comfortable wheelhouse — SQL, to share some of the beginner pandas things I am learning and using. The simple fact remains: the more I use pandas, the more I like it. Although the data set used here is not the same as the one I interact with at work, the same principles carry over.

Photo by Mika Baumeister on Unsplash

OS and software used:

  • Xubuntu Linux 18.04.2 LTS (Bionic Beaver)
  • Python 3.7.4
  • pandas-0.25.0

Self-Promotion:

If you enjoy the content written here, by all means, share this blog and your favorite post(s) with others who may benefit from or like it as well. Since coffee is my favorite drink, you can even buy me one if you would like!

It’s no secret that CSV files are used everywhere. Python itself has fantastic support for working with CSV files and data, out of the box, by way of the CSV module. However, I have really taken a liking to the pandas library for its CSV functionality.

Continue to read the full post here…

Originally published at https://joshuaotwell.com on July 31, 2019.

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Josh Otwell
Josh Otwell

Written by Josh Otwell

SQL/PHP | Photography | Technical Consultant. Sign-up for my free developer newsletter, OpenLampTech, here: openlamptech.substack.com

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