Polars vs Pandas: The battle of the bears – Nathalie Vecten – PyCon CZ 23, 15-17 September, Prague
Polars, DuckDB, Pandas, Modin, Ponder, Fugue, Daft — which one is the best dataframe and SQL tool? | Kestra
Javier Jhairt Lopez Rojas - Data Scientist - Grupo Herdez | LinkedIn
Speed up Pandas in Python with Modin - Analytics Vidhya
Speed up Pandas in Python with Modin - Analytics Vidhya
Three Alternatives to Pandas, Polars and PySpark to Work With Data In Python | by Luís Oliveira | Level Up Coding
Optimizing Pandas
Scaling Pandas: Dask vs Ray vs Modin vs Vaex vs RAPIDS
TIL about Modin which significantly speeds up Pandas if you import modin.pandas instead of pandas. : r/Python
1 Billion Rows in Pandas… Modin, CuDF, Arrow & Spark | by Unum | Medium
DataFrame Wars: Polars Leaves Pandas in the dust! - DEV Community
The 3 Reasons Why I Have Permanently Switched From Pandas To Polars | Call me Ben
Pandas vs Polars - Speed Comparison
GitHub - sfu-db/connector-x: Fastest library to load data from DB to DataFrames in Rust and Python
Do these Pandas Alternatives actually work? - YouTube
Data Analysis at Warp Speed: Explore the World of Polars | by Vinayak Shanawad | MLearning.ai | Medium
The 3 Reasons Why I Have Permanently Switched From Pandas To Polars | Call me Ben
Everything you should know to get started with Polars as a Data Engineer | by Deepanshu tyagi | Dec, 2023 | Medium
High Performance Data Manipulation in Python: pandas 2.0 vs. polars | DataCamp
Polars - A lightning fast DataFrames library
Speed up Pandas in Python with Modin - Analytics Vidhya
Choosing the Right Tool for Your Data
Paul Simmering - Data frame wars: Choosing a Python dataframe library as a dplyr user
High Performance Data Manipulation in Python: pandas 2.0 vs. polars | DataCamp
Modin vs. Dask DataFrame vs. Koalas — Modin 0.26.0+2.g7ef544f.dirty documentation
