Data Visualization Insights
Stefanie shares her favorite data wrangling tricks using Pandas, highlighting its plotting capabilities and the flexibility of Matplotlib. She introduces her data morph library, which allows for seamless transformations of scatter plots, and emphasizes the importance of package creation for data scientists. Additionally, she discusses her tech stack at Bloomberg and the significance of ruthless prioritization in achieving productivity.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
675: Pandas for Data Analysis and Visualization — with Stefanie Molin
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