Talks - Patrick Hoefler: Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars

Talks - Patrick Hoefler: Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
Share:

Download MP3


Similar Tracks

Talks - Alex Monahan, Gabor Szarnyas: Python and SQL: Better Together, Powered by DuckDB PyCon US
Talks - Mia Bajić: Combining Django ORM & FastAPI in a Single App PyCon US
Cybersecurity Architecture: Data Security IBM Technology
Talks - Chahak Mehta: LSP Demystified - How towrite an LSP server in Python PyCon US
Talks - Jeff Glass: Making Your Documentation Interactive with PyScript PyCon US
Talks - Kelsey Vavasour Weaving algorithms: the threads that bind the python and textile communities PyCon US
Talks - Ofek Lev: Hatch: The only tool you need PyCon US
UML use case diagrams Lucid Software
Talks - Vinicius Mendes: Continuous Deployment and Release of Django Apps PyCon US
Talks - Tadeh Hakopian: Using Diagrams to Communicate Complex Ideas with Python PyCon US
An Overview of DuckDB The Open Source Analytics Community (OSA COM)
Introduction to Generative AI Google Cloud Tech
Patrick Hoefler - Dask DataFrame 2.0: Comparison to Spark, DuckDB and Polars | PyData London 2024 PyData
Talks - Neeraj Pandey, Manoj Pandey: Visual Data Storytelling with Blender and Python PyCon US
DuckDB vs Pandas vs Polars For Python devs MotherDuck
Matt Harrison - An Introduction to Pandas 2, Polars, and DuckDB | PyData Global 2023 PyData
Talks - Sebastián Flores: Python and Data Storytelling to the Rescue: Let's Avoid More Deaths by... PyCon US
Cybersecurity Architecture: Five Principles to Follow (and One to Avoid) IBM Technology
PLC Basics: Ladder Logic This is Automation