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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.\nThis 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.\nIn this episode you will learn:\u2022 The advantages of using pandas over other libraries [07:55]\u2022 Why data wrangling in pandas is so helpful [12:05]\u2022 Stefanie\u2019s Data Morph library [24:27]\u2022 When to use pandas, matplotlib, or seaborn [33:45]\u2022 Understanding the ticker module in matplotlib [36:48]\u2022 Where data analysts should start their learning journey [40:08]\u2022 What it\u2019s like being a software engineer at Bloomberg [51:19]\nAdditional materials: www.superdatascience.com/675