815: Polars: Faster DataFrame Ops, with Marco Gorelli
Super Data Science: ML & AI Podcast with Jon Krohn
Exploring Python Plotting Libraries
This chapter examines various Python plotting libraries, emphasizing the strengths and weaknesses of tools such as Matplotlib, Seaborn, and Plotly. The discussion extends to Altair's interactive plotting capabilities and the distinctions between Polars and Pandas for data manipulation. It also addresses the significance of a data frame agnostic approach and the future of interoperability in data science libraries.
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