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

Patrick Hoefler - Dask DataFrame 2.0: Comparison to Spark, DuckDB and Polars | PyData London 2024Подробнее

Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars [PyCon DE & PyData Berlin 2024]Подробнее

James Bourbeau - Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars | SciPy 2024Подробнее

DuckDB vs Pandas vs Polars For Python devsПодробнее

What is the fastest dataframe library in python?Подробнее

Polars - Faster DataFrame Library than PandasПодробнее

Dask - A Faster Alternative to Pandas: Performance Comparison and AnalysisПодробнее

Will Polars replace Pandas for Data Science?Подробнее

What is Polars?Подробнее

Why should you switch from Pandas to Polars?Подробнее

The BEST library for building Data Pipelines...Подробнее

Paired RDDs & Spark Structured APIs | Part I & II | Big Data with Apache SparkПодробнее

Matt Harrison - An Introduction to Pandas 2, Polars, and DuckDB | PyData Global 2023Подробнее

Pandas 2.0Подробнее

Polars: The Next Big Python Data Science Library... written in RUST?Подробнее

Joris Van den Bossche & Patrick Hoefler: Pandas 2.0 and beyondПодробнее

Benchmarking Polars vs Python on Big Data 2 billion rowsПодробнее

Clean MESSY String Data in PandasПодробнее

Better Together: Unleashing the Synergy of Pandas, Polars, and Apache ArrowПодробнее