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Ian Ozsvald- Skinny Pandas Riding On A Rocket| PyData Global 2020
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Talk
With larger datasets we need to be smarter about how we use Pandas to get results. We’ll look at strategies to shrink our data to get more into RAM, offload computation to tools like Dask or Vaex, store with Parquet or SQLite, make calculations faster and retain debuggability.
Speaker
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.
With larger datasets we need to be smarter about how we use Pandas to get results. We’ll look at strategies to shrink our data to get more into RAM, offload computation to tools like Dask or Vaex, store with Parquet or SQLite, make calculations faster and retain debuggability.
Speaker
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.