Demystifying pandas internals - Marc Garcia

PyData London 2018 pandas high-level API makes it easy for newcomers to do data wrangling and analysis, without having to know much about data structures or low level computing. But this initial easiness of use can become a problem when performing complex operations, or when facing performance problems when dealing with large volumes of data. In this talk, the essentials of data structures and pandas will be covered Slides: http://datapythonista.github.io/docs/... --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...

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Stephen Elston - Data Visualization and Exploration with Python

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Effective Pandas I Matt Harrison I PyData Salt Lake City Meetup

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1000x faster data manipulation: vectorizing with Pandas and Numpy

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Hannah Stepanek - Thinking like a Panda: Everything you need to know to use pandas the right way.

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Evaluating fairness in machine learning with PyMC3 - Oliver Laslett

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Quentin Caudron - Introduction to data analytics with pandas

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Jake VanderPlas - How to Think about Data Visualization - PyCon 2019

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Daniel Chen: Cleaning and Tidying Data in Pandas | PyData DC 2018

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Sofia Heisler No More Sad Pandas Optimizing Pandas Code for Speed and Efficiency PyCon 2017

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Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains

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Data Science Best Practices with pandas (PyCon 2019)