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[PR #2293] Added Polars in Libraries for data analyzing #1731

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opened 2025-11-06 13:22:07 -06:00 by GiteaMirror · 0 comments
GiteaMirror commented 2025-11-06 13:22:07 -06:00
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📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2293
Author: @musaib5
Created: 12/31/2022
Status: 🔄 Open

Base: master ← Head: master

📝 Commits (2)

  • ccf56ae Added Polars in Libraries for data analyzing
  • 185afaa Merge branch 'vinta:master' into master

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

It comes under the Section "Libraries for Data Analyzing". Polars is a blazingly fast DataFrame library completely written in Rust, using the Apache Arrow memory model.

What's the difference between this Python project and similar ones?

benchmarks

  • Utilizes all the available cores unlike single-threaded libraries such as NumPy and Pandas.
  • Built from the ground up designed for parallelization of queries on dataframes.
  • Its csv and parquet readers are among the fastest in existence.
  • It consists of a lazy query engine, allowing Polars to do several optimizations that may improve query time and memory usage.

Anyone who agrees with this pull request could submit an Approve review to it.

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2293 **Author:** [@musaib5](https://github.com/musaib5) **Created:** 12/31/2022 **Status:** 🔄 Open **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (2) - [`ccf56ae`](https://github.com/vinta/awesome-python/commit/ccf56aed59ed6e293e3d6d56256d2a0974259f1b) Added Polars in Libraries for data analyzing - [`185afaa`](https://github.com/vinta/awesome-python/commit/185afaa8c0723465bf69d222768df9c90492ecd6) Merge branch 'vinta:master' into master ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? It comes under the Section "Libraries for Data Analyzing". Polars is a blazingly fast DataFrame library completely written in Rust, using the Apache Arrow memory model. ## What's the difference between this Python project and similar ones? ![benchmarks](https://user-images.githubusercontent.com/43924834/210128359-00c6041e-c217-4283-a7a2-1de7dde9b7f0.png) * Utilizes all the available cores unlike single-threaded libraries such as NumPy and Pandas. * Built from the ground up designed for parallelization of queries on dataframes. * Its csv and parquet readers are among the fastest in existence. * It consists of a lazy query engine, allowing Polars to do several optimizations that may improve query time and memory usage. Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-06 13:22:07 -06:00
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Reference: github-starred/awesome-python#1731
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