Data Processing with Python

Python is the ideal language to do data processing, and it’s one of the reasons it’s used so much for data science. Python supports data formats like CSV, JSON, and XML out of the box. However, there are also many external libraries on PyPI to aid you with processing data, like PyYAML.

Python data processing topics

In this section, we’ll dive into processing data of all kinds. For now, I’ve only touched on the subject of JSON and YAML, but there are more topics in the proverbial pipeline:

Get certified with our courses

Our premium courses offer a superior user experience with small, easy-to-digest lessons, progress tracking, quizzes to test your knowledge, and practice sessions. Each course will earn you a downloadable course certificate.

Learn more

This article is part of the free Python tutorial. You can head over to the start of the tutorial here. You can navigate this tutorial using the buttons at the top and bottom of the articles. To get an overview of all articles in the tutorial, please use the fold-out menu at the top.

If you liked this article, you might also like to read the following articles:

Leave a Comment

Share to...