Pandas & Seaborn - A guide to handle & visualize data elegantly - Tryolabs Blog

Here at Tryolabs we love Python almost as much as we love machine learning problems. These kind of problems always involve working with large amounts of data which is key to understand before applying any machine learning technique. To understand the data, we need to manipulate it, clean it, make calculations and see how variables behave independently, and how they relate to one another. At this post will show how we have been doing this lately. Up next you'll find an overview of Pandas, a Python library which is old but gold and a must-know if you're attempting to do any work with data while living in the Python world, and a glance of Seaborn, a Python library for making statistical visualizations. From our experience, they complement each other really well, and are worth learning together. We hope this post serves as a first guide for diving into them and kickstart your data handling & visualization journey.