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>
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/1035
Author: @priyankaparikh
Created: 3/16/2018
Status: ✅ Merged
Merged: 3/17/2018
Merged by: @vinta
Base:
master← Head:patch-1📝 Commits (1)
0e44979Added 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.