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dietmarw

dietmarw/python

Trial and errors in Python

Jupyter Notebook ◇ developer-tools
★2STARS
⑂0FORKS
!0ISSUES
🏆#13,934GLOBAL RANK
🔥20DAYS TRENDING
🚀
Maintainer Growth Kit for python

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Star History

Continuous Observations
Interactive star growth chart for dietmarw/python
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#9

MOST-STARRED Jupyter Notebook

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

python gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 18 years old and has averaged roughly 0 stars a year. It ranks #9 among Jupyter Notebook repositories and #13,934 across all languages on GitHubRepo.

Trending Record

python has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

python is an open-source project written in Jupyter Notebook: Trial and errors in Python.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Jupyter Notebook. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Jupyter Notebook for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/dietmarw/python.git
cd python

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Jupyter Notebook environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

python coordinates its core functionality through a modular Jupyter Notebook pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed python into Jupyter Notebook backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open source license.

🚀 Getting Started

1

Install python using your package manager: `git clone https://github.com/dietmarw/python.git`

2

Initialize your project workspace or configuration file for python.

3

Import python into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `python --help` to verify successful setup.

👍 Strengths

Active community backing with 2 GitHub stars and verified adoption.
Permissive open-source distribution under the Open Source license.
Built in Jupyter Notebook for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Jupyter Notebook and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Jupyter Notebook, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

dietmarw/python is currently ranked #13,934 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,914 ThomasHabets/pam_externalpass Shell ★ 3 Compare ↗
#12,914 wiseman/cl-html-diff Common Lisp ★ 3 Compare ↗
#12,914 matburt/procan C ★ 3 Compare ↗
#12,914 HakanS/dokuwiki-plugin-adminhomepage PHP ★ 3 Compare ↗
#12,914 priteau/vizir Ruby ★ 3 Compare ↗
#13,934 dietmarw/python This Project Jupyter Notebook ★ 2
#13,934 pdsphil/ruby-merlin Ruby ★ 2 Compare ↗
#13,934 daaku/tempdir Ruby ★ 2 Compare ↗
#13,934 morgs/poll-builder Python ★ 2 Compare ↗
#13,934 locusf/monotooth HTML ★ 2 Compare ↗
#13,934 xman/utility Shell ★ 2 Compare ↗

Frequently Asked Questions

What does python do? +

Trial and errors in Python

What language is python written in? +

The primary language is Jupyter Notebook. Topics include: software.

Is python actively maintained? +

Yes, the last recorded push was on Mar 18, 2022 with 0 open issues being tracked.

How many stars does python have? +

python has 2 stars and 0 forks on GitHub.

How does python rank among GitHub repositories? +

With 2 stars, dietmarw/python is ranked #13,934 globally across all repositories tracked on GitHubRepo and #9 among Jupyter Notebook projects.

What license is python distributed under? +

No SPDX license identified yet. Code without a license is subject to copyright by default.

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