FastScheduler – Decorator-first Python task scheduler, async support
https://github.com/MichielMe/fastscheduler
https://github.com/MichielMe/fastscheduler
GitHub
GitHub - MichielMe/fastscheduler: Decorator-first Python scheduler — cron/interval/at jobs with simple persistence and built-in…
Decorator-first Python scheduler — cron/interval/at jobs with simple persistence and built-in run history. - MichielMe/fastscheduler
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Pyinfra: Turns Python code into shell commands and runs them on your servers
https://github.com/pyinfra-dev/pyinfra
https://github.com/pyinfra-dev/pyinfra
GitHub
GitHub - pyinfra-dev/pyinfra: 🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands…
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fas...
Anthropic has made a large contribution to the Python Software Foundation
https://discuss.python.org/t/anthropic-has-made-a-large-contribution-to-the-python-software-foundation-and-open-source-security/105694
https://discuss.python.org/t/anthropic-has-made-a-large-contribution-to-the-python-software-foundation-and-open-source-security/105694
Discussions on Python.org
Anthropic has made a large contribution to the Python Software Foundation and open source security
Hi all - I wanted to share here some exciting news we shared on our blog this morning: Anthropic has donated $1.5 million over two years to the PSF! Their landmark gift is focused on supporting our security work. Here’s what we shared on social media: …
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I Made a Classic Refactoring Mistake
Arjan addresses mistakes in his prior video's refactoring of a messy order approval function, identifying three logic errors via failing tests. He discusses refactoring pitfalls like incomplete tests (86% coverage despite bugs), tricky and/or conditions, data structures, and the lack of a true "ground truth" in business logic.
https://www.youtube.com/watch?v=b6RnBKvQ40o
Arjan addresses mistakes in his prior video's refactoring of a messy order approval function, identifying three logic errors via failing tests. He discusses refactoring pitfalls like incomplete tests (86% coverage despite bugs), tricky and/or conditions, data structures, and the lack of a true "ground truth" in business logic.
https://www.youtube.com/watch?v=b6RnBKvQ40o
YouTube
I Made a Classic Refactoring Mistake
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In my previous video on refactoring complicated business logic, I made several mistakes and you spotted them. In this video, I go through what went wrong, why these kinds of…
In my previous video on refactoring complicated business logic, I made several mistakes and you spotted them. In this video, I go through what went wrong, why these kinds of…
I built a wrapper to get unlimited free access to GPT-4o, Gemini 2.5, and Llama 3 (16k+ reqs/day)
https://www.reddit.com/r/Python/comments/1q87ngh/i_built_a_wrapper_to_get_unlimited_free_access_to/
https://www.reddit.com/r/Python/comments/1q87ngh/i_built_a_wrapper_to_get_unlimited_free_access_to/
Reddit
From the Python community on Reddit: I built a wrapper to get unlimited free access to GPT-4o, Gemini 2.5, and Llama 3 (16k+ reqs/day)
Explore this post and more from the Python community
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Jsonic – Python JSON serialization that works
https://medium.com/dev-genius/jsonic-python-serialization-that-just-works-3b38d07c426d
https://medium.com/dev-genius/jsonic-python-serialization-that-just-works-3b38d07c426d
Medium
Jsonic: Python Serialization That Actually Just Works
If you’ve spent any time building APIs or microservices in Python, you’ve hit the wall with the standard library’s json module. It’s…
davila7 / claude-code-templates
CLI tool for configuring and monitoring Claude Code
https://github.com/davila7/claude-code-templates
CLI tool for configuring and monitoring Claude Code
https://github.com/davila7/claude-code-templates
GitHub
GitHub - davila7/claude-code-templates: CLI tool for configuring and monitoring Claude Code
CLI tool for configuring and monitoring Claude Code - davila7/claude-code-templates
Seapie – a Python debugger where breakpoints drop into a REPL
https://github.com/hirsimaki-markus/seapie
https://github.com/hirsimaki-markus/seapie
GitHub
GitHub - hirsimaki-markus/seapie: A breakpoint should just mean >>>
A breakpoint should just mean >>>. Contribute to hirsimaki-markus/seapie development by creating an account on GitHub.
pyPFC: An open-source Python package for phase field crystal simulations
A Python framework for setting up, running and analyzing 3D Phase Field Crystal (PFC) simulations.
https://github.com/HHallb/pyPFC
A Python framework for setting up, running and analyzing 3D Phase Field Crystal (PFC) simulations.
https://github.com/HHallb/pyPFC
GitHub
GitHub - HHallb/pyPFC: pyPFC: An Open-Source Python Package for Phase Field Crystal Simulations
pyPFC: An Open-Source Python Package for Phase Field Crystal Simulations - HHallb/pyPFC
How I Used Claude to Build a Transcription Bot that Learns From Its Mistakes
John Voorhees describes building a transcription pipeline that combines deterministic Python scripts for initial cleanup with Claude's "fuzzy" reasoning to catch obscure phonetic errors. The system uses a feedback loop where Claude identifies misspellings like "goti" for "GOTY" and automatically updates a persistent dictionary to ensure the bot becomes more accurate with every episode.
https://www.macstories.net/stories/how-i-used-claude-to-build-a-transcription-bot-that-learns-from-its-mistakes
John Voorhees describes building a transcription pipeline that combines deterministic Python scripts for initial cleanup with Claude's "fuzzy" reasoning to catch obscure phonetic errors. The system uses a feedback loop where Claude identifies misspellings like "goti" for "GOTY" and automatically updates a persistent dictionary to ensure the bot becomes more accurate with every episode.
https://www.macstories.net/stories/how-i-used-claude-to-build-a-transcription-bot-that-learns-from-its-mistakes
www.macstories.net
How I Used Claude to Build a Transcription Bot that Learns From Its Mistakes
[Update: Due to the way parakeet-mlx handles transcript timeline synchronization, which can result in caption timing issues, this workflow has been reverted to use the Apple Speech framework. Otherwise, the workflow remains the same as described below.] When…
The Emperor Has No Clothes: How to Code Claude Code in 200 Lines of Code
Mihail Eric argues that the core functionality of complex AI coding tools like Claude Code or Cursor is not magic but rather simple agentic logic. He demonstrates that these systems can be replicated in about 200 lines of Python by focusing on the essential loop of reading files, editing code, and executing shell commands.
https://www.mihaileric.com/The-Emperor-Has-No-Clothes
Mihail Eric argues that the core functionality of complex AI coding tools like Claude Code or Cursor is not magic but rather simple agentic logic. He demonstrates that these systems can be replicated in about 200 lines of Python by focusing on the essential loop of reading files, editing code, and executing shell commands.
https://www.mihaileric.com/The-Emperor-Has-No-Clothes
Mihaileric
The Emperor Has No Clothes: How to Code Claude Code in 200 Lines of Code
The core of tools like Claude Code, Cursor, and Warp isn't magic. It's about 200 lines of straightforward Python. Let's build one from scratch.
BeatBoss
BeatBoss is a desktop music player built with Python and Flet.
https://github.com/TheVolecitor/BeatBoss
BeatBoss is a desktop music player built with Python and Flet.
https://github.com/TheVolecitor/BeatBoss
GitHub
GitHub - TheVolecitor/BeatBoss: Music Player based on DAB api
Music Player based on DAB api. Contribute to TheVolecitor/BeatBoss development by creating an account on GitHub.
Seaborn Crash Course - Data Visualization in Python
This video today is a crash course on Seaborn, a data visualization library for Python built on top of Matplotlib. It makes it super simple to create statistical graphs of datasets.<br>
https://www.youtube.com/watch?v=rLVCSmtoA7U
This video today is a crash course on Seaborn, a data visualization library for Python built on top of Matplotlib. It makes it super simple to create statistical graphs of datasets.<br>
https://www.youtube.com/watch?v=rLVCSmtoA7U
YouTube
Seaborn Crash Course - Data Visualization in Python
This video today is a crash course on Seaborn, a data visualization library for Python built on top of Matplotlib. It makes it super simple to create statistical graphs of datasets.
Seaborn Docs: https://seaborn.pydata.org/api.html
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Seaborn Docs: https://seaborn.pydata.org/api.html
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