

#462: Pandas and Beyond with Wes McKinney
62 snips May 15, 2024
Wes McKinney, creator of pandas, discusses the power of pandas in data manipulation and analysis, evolution of pandas, Python frameworks for data science advancements, efficiency in data processing libraries like Apache Arrow, and the introduction of SQL Glott for standardizing SQL queries.
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Pandas origin
- Wes McKinney started Pandas in 2007-2008 as a personal data analysis toolkit.
- It became open-source in 2009 and evolved into a core data science library.
Shiny for Python
- Posit (formerly RStudio) developed Shiny for Python.
- It integrates well with notebooks and simplifies the creation of interactive data applications.
Pandas ubiquity and new users
- Pandas is ubiquitous in data science, but some users are new to Python.
- Some listeners use the podcast for language immersion, highlighting diverse user backgrounds.