Exploring Personal Projects, AWS Trainium and Inferentia, Data Visualization Teaching, and Simulated Annealing

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, and by AWS Inferentia. 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