[PR #1035] [MERGED] Added Scoop #12296

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GiteaMirror · 2026-04-27T01:48:35-05:00

GiteaMirror commented

2026-04-27 01:48:35 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1035
Author: @priyankaparikh
Created: 3/16/2018
Status: ✅ Merged
Merged: 3/17/2018
Merged by: @vinta

Base: master ← Head: patch-1

📝 Commits (1)

0e44979 Added Scoop

📊 Changes

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

View changed files

📝 README.md (+1 -0)

📄 Description

Added Scoop to algorithms section

What is this Python project?

SCOOP features and advantages over futures, multiprocessing and similar modules are as follows:

Harness the power of multiple computers over network;
Ability to spawn multiple tasks inside a task;
API compatible with PEP-3148;
Parallelizing serial code with only minor modifications;
Efficient load-balancing.

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

Enumerate comparisons.

The common applications of SCOOP consist but is not limited to:

Evolutionary Algorithms
Monte Carlo simulations
Data mining
Data processing
Graph traversal

--

Anyone who agrees with this pull request could vote for it by adding a 👍 to it, and usually, the maintainer will merge it when votes reach 20.

_{🔄 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/1035 **Author:** [@priyankaparikh](https://github.com/priyankaparikh) **Created:** 3/16/2018 **Status:** ✅ Merged **Merged:** 3/17/2018 **Merged by:** [@vinta](https://github.com/vinta) **Base:** `master` ← **Head:** `patch-1` --- ### 📝 Commits (1) - [`0e44979`](https://github.com/vinta/awesome-python/commit/0e44979e08f2a0d52e2334c603676b8ddcc18e76) Added Scoop ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description Added Scoop to algorithms section ## What is this Python project? SCOOP features and advantages over futures, multiprocessing and similar modules are as follows: Harness the power of multiple computers over network; Ability to spawn multiple tasks inside a task; API compatible with PEP-3148; Parallelizing serial code with only minor modifications; Efficient load-balancing. ## What's the difference between this Python project and similar ones? Enumerate comparisons. The common applications of SCOOP consist but is not limited to: Evolutionary Algorithms Monte Carlo simulations Data mining Data processing Graph traversal -- Anyone who agrees with this pull request could vote for it by adding a :+1: to it, and usually, the maintainer will merge it when votes reach **20**. --- <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 2026-04-27 01:48:35 -05:00

GiteaMirror closed this issue

2026-04-27 01:48:36 -05:00

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Reference: github-starred/awesome-python#12296