Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas. This episode is brought to you by Posit, the open-source data science company (https://posit.co), and by AWS Inferentia (https://go.aws/3zWS0au). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • The advantages of using pandas over other libraries [07:55] • Why data wrangling in pandas is so helpful [12:05] • Stefanie’s Data Morph library [24:27] • When to use pandas, matplotlib, or seaborn [33:45] • Understanding the ticker module in matplotlib [36:48] • Where data analysts should start their learning journey [40:08] • What it’s like being a software engineer at Bloomberg [51:19] Additional materials: www.superdatascience.com/675