[PR #3092] [CLOSED] Add loopz to Job Scheduler section #13692

New Issue

2026-04-27T03:10:05-05:00

GiteaMirror commented

2026-04-27 03:10:05 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/3092
Author: @Shiv0087
Created: 4/25/2026
Status: ❌ Closed

Base: master ← Head: master

📝 Commits (1)

057ac45 Add loopz to Job Scheduler section

📊 Changes

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

View changed files

📝 README.md (+1 -0)

📄 Description

Checklist

One link per Pull Request
PR title format: Add loopz
Entry format: * [loopz](url) - Description ending with period.

Why This Project

loopz auto-saves and resumes any Python loop from exactly
where it crashed — training jobs, dataset processing,
web scraping, downloads.

One decorator handles everything:

@loopz.track("training", save_every=1,
              state={"model": model, "optimizer": opt})
def train(epoch):
    run_one_epoch(model, loader, opt)

train(range(50))
# crash at 31? run again → resumes from 31 ✅

Saves PyTorch model/optimizer/scheduler/GradScaler,
numpy arrays, sklearn models, random seeds, and async
functions. Works on any platform.

pip install loopz

_{🔄 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/3092 **Author:** [@Shiv0087](https://github.com/Shiv0087) **Created:** 4/25/2026 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`057ac45`](https://github.com/vinta/awesome-python/commit/057ac45bc1a9822eb5320b412743a161b81b509a) Add loopz to Job Scheduler section ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description **Checklist** - [x] One link per Pull Request - [x] PR title format: Add loopz - [x] Entry format: `* [loopz](url) - Description ending with period.` **Why This Project** loopz auto-saves and resumes any Python loop from exactly where it crashed — training jobs, dataset processing, web scraping, downloads. One decorator handles everything: @loopz.track("training", save_every=1, state={"model": model, "optimizer": opt}) def train(epoch): run_one_epoch(model, loader, opt) train(range(50)) # crash at 31? run again → resumes from 31 ✅ Saves PyTorch model/optimizer/scheduler/GradScaler, numpy arrays, sklearn models, random seeds, and async functions. Works on any platform. pip install loopz --- <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 03:10:05 -05:00

GiteaMirror closed this issue

2026-04-27 03:10:06 -05:00

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Reference: github-starred/awesome-python#13692