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?
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:** ❌ Closed
**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?
* 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>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2293
Author: @musaib5
Created: 12/31/2022
Status: ❌ Closed
Base:
master← Head:master📝 Commits (2)
ccf56aeAdded Polars in Libraries for data analyzing185afaaMerge 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?
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.