avinashkranjan/amazing-python-scripts

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

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Summary Information

Updated 56 minutes ago
Added to GitGenius on September 18th, 2026
Created on July 14th, 2020
Open Issues & Pull Requests: 226 (+0)
GitHub issues: Enabled
Number of forks: 1,337
Total Stargazers: 3,678 (+0)
Total Subscribers: 40 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.0 hours
Mean response time: 11.1 hours
90th percentile: 31.9 hours
Tracked items: 5

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Issue Activity (beta)

Open issues: 14
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 485 days
Stale 30+ days: 14
Stale 90+ days: 11

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • Annoucement (1)
  • Website (1)
  • documentation (1)
  • enhancement (1)
  • up for grab (1)

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Detailed Description

Amazing Python Scripts is a curated collection of Python scripts ranging from beginner to advanced level, including automation task scripts.

The project addresses the need for a centralized repository of practical Python utilities that solve everyday problems and automate routine tasks. It provides scripts for common use cases such as downloading PDFs from online sources and automating social media interactions like Instagram engagement. The collection spans from foundational Python concepts to more sophisticated applications, allowing developers to learn by example and reuse code for their own projects.

The tool suits developers seeking ready-to-use scripts for automation and learning purposes. It works well as a reference collection for those building their coding skills or looking for quick solutions to common tasks. The project explicitly welcomes contributions of any kind and provides a contributing guide for those interested in adding new scripts.

The project maintains an open contribution model with a formal process for issue assignment and pull request review. The repository includes a dedicated contributing guide and encourages contributors to add screenshots documenting their scripts. The project operates with multiple contributors and maintains active engagement through issue tracking and pull request workflows.