The logging module is from 2002. Here's how to use it in 2025
https://www.reddit.com/r/Python/comments/1lq2zq0/the_logging_module_is_from_2002_heres_how_to_use/
https://www.reddit.com/r/Python/comments/1lq2zq0/the_logging_module_is_from_2002_heres_how_to_use/
Reddit
From the Python community on Reddit: The logging module is from 2002. Here's how to use it in 2025
Explore this post and more from the Python community
Fun with uv and PEP 723
The article demonstrates how combining the new Python package manager uv with PEP 723 allows you to write self-contained Python scripts that declare and manage their own dependencies using inline metadata, making one-off scripting much easier and more portable. It showcases practical examples, such as running scripts with uv run and creating executable scripts that fetch YouTube transcri...
https://www.cottongeeks.com/articles/2025-06-24-fun-with-uv-and-pep-723
The article demonstrates how combining the new Python package manager uv with PEP 723 allows you to write self-contained Python scripts that declare and manage their own dependencies using inline metadata, making one-off scripting much easier and more portable. It showcases practical examples, such as running scripts with uv run and creating executable scripts that fetch YouTube transcri...
https://www.cottongeeks.com/articles/2025-06-24-fun-with-uv-and-pep-723
Cottongeeks
Fun with uv and PEP 723
How to use uv and the Python inline script metadata proposal PEP 723 to run scripts seamlessly.
PhotoshopAPI: 20× Faster Headless PSD Automation & Full Smart Object Control (No Photoshop Required)
https://www.reddit.com/r/Python/comments/1lre64q/photoshopapi_20_faster_headless_psd_automation/
https://www.reddit.com/r/Python/comments/1lre64q/photoshopapi_20_faster_headless_psd_automation/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
rl-swarm
A fully open source framework for creating RL training swarms over the internet.
https://github.com/gensyn-ai/rl-swarm
A fully open source framework for creating RL training swarms over the internet.
https://github.com/gensyn-ai/rl-swarm
GitHub
GitHub - gensyn-ai/rl-swarm: A fully open source framework for creating RL training swarms over the internet.
A fully open source framework for creating RL training swarms over the internet. - gensyn-ai/rl-swarm
TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling.
https://github.com/SakanaAI/treequest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling.
https://github.com/SakanaAI/treequest
GitHub
GitHub - SakanaAI/treequest: A Tree Search Library with Flexible API for LLM Inference-Time Scaling
A Tree Search Library with Flexible API for LLM Inference-Time Scaling - SakanaAI/treequest
Statically checking Python dicts for completeness
A Pythonic way to ensure that your statically-defined dicts are complete, with full source code.
https://lukeplant.me.uk/blog/posts/statically-checking-python-dicts-for-completeness/
A Pythonic way to ensure that your statically-defined dicts are complete, with full source code.
https://lukeplant.me.uk/blog/posts/statically-checking-python-dicts-for-completeness/
Luke Plant's home page
Statically checking Python dicts for completeness
A Pythonic way to ensure that your statically-defined dicts are complete, with full source code.
genai-bench
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems.
https://github.com/sgl-project/genai-bench
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems.
https://github.com/sgl-project/genai-bench
GitHub
GitHub - sgl-project/genai-bench: Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation…
Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serving systems. - sgl-project/genai-bench
Spegel
Automatically rewrites the websites into markdown optimised for viewing in the terminal.
https://github.com/simedw/spegel
Automatically rewrites the websites into markdown optimised for viewing in the terminal.
https://github.com/simedw/spegel
GitHub
GitHub - simedw/spegel: Spegel - Reflect the web through AI
Spegel - Reflect the web through AI. Contribute to simedw/spegel development by creating an account on GitHub.
Reading NFC Passport Chips in Linux
The article explains how to read all data, including biometrics, from an NFC passport chip on Linux using the pypassport tool, detailing the process of reconstructing the required MRZ (Machine Readable Zone) password from passport details and providing Python code for both MRZ generation and chip reading
https://shkspr.mobi/blog/2025/06/reading-nfc-passport-chips-in-linux/
The article explains how to read all data, including biometrics, from an NFC passport chip on Linux using the pypassport tool, detailing the process of reconstructing the required MRZ (Machine Readable Zone) password from passport details and providing Python code for both MRZ generation and chip reading
https://shkspr.mobi/blog/2025/06/reading-nfc-passport-chips-in-linux/
Terence Eden’s Blog
Reading NFC Passport Chips in Linux
For boring and totally not nefarious reasons, I want to read all the data contained in my passport's NFC chip using Linux. After a long and annoying search, I settled on roeften's pypassport. I can now read all the passport information, including biometrics.…
Build a Podcast Discovery Web App in Pure Python
The video is a step-by-step tutorial on building a full-stack podcast discovery web app using only Python, leveraging the Reflex framework for both frontend and backend development. It demonstrates integrating user authentication with Clerk, database management with Postgres, and data validation with Pydantic, showing how modern Python tools can be combined to create interactive, product...
https://www.youtube.com/watch?v=9RUhp99J87c
The video is a step-by-step tutorial on building a full-stack podcast discovery web app using only Python, leveraging the Reflex framework for both frontend and backend development. It demonstrates integrating user authentication with Clerk, database management with Postgres, and data validation with Pydantic, showing how modern Python tools can be combined to create interactive, product...
https://www.youtube.com/watch?v=9RUhp99J87c
YouTube
Python Tutorial: Build a Podcast Discovery Web App in Pure Python
🚀 Get clerk now https://go.clerk.com/YXDCdS6
Build a full stack web app in pure Python to help users discover podcast episodes. We'll build this step-by-step. Check the chapters to skip around if you want.
⦿ Code: https://github.com/codingforentrepreneurs/podcast…
Build a full stack web app in pure Python to help users discover podcast episodes. We'll build this step-by-step. Check the chapters to skip around if you want.
⦿ Code: https://github.com/codingforentrepreneurs/podcast…
It Seems I No Longer Use Python’s Dataclasses
The video explores whether Python’s built-in dataclasses are still useful in 2025, given the rise of tools like Pydantic, FastAPI, and SQLAlchemy, concluding that most production code now relies on specialized data structures from these libraries rather than standard dataclasses. However, the presenter still finds dataclasses valuable for rapid prototyping and domain modeling, as they of...
https://www.youtube.com/watch?v=NRIgLNzmnYY
The video explores whether Python’s built-in dataclasses are still useful in 2025, given the rise of tools like Pydantic, FastAPI, and SQLAlchemy, concluding that most production code now relies on specialized data structures from these libraries rather than standard dataclasses. However, the presenter still finds dataclasses valuable for rapid prototyping and domain modeling, as they of...
https://www.youtube.com/watch?v=NRIgLNzmnYY
YouTube
It Seems I No Longer Use Python’s Dataclasses
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I take a deep dive into Python dataclasses in 2025. Are they still useful now that we have Pydantic, FastAPI, SQLAlchemy, and other tools? I walk through real…
In this video, I take a deep dive into Python dataclasses in 2025. Are they still useful now that we have Pydantic, FastAPI, SQLAlchemy, and other tools? I walk through real…
force-push-scanner
Scan for secrets in dangling commits on GitHub using GH Archive data.
https://github.com/trufflesecurity/force-push-scanner
Scan for secrets in dangling commits on GitHub using GH Archive data.
https://github.com/trufflesecurity/force-push-scanner
GitHub
GitHub - trufflesecurity/force-push-scanner: Scan for secrets in dangling commits on GitHub using GH Archive data.
Scan for secrets in dangling commits on GitHub using GH Archive data. - trufflesecurity/force-push-scanner
AlphaGenome
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
https://github.com/google-deepmind/alphagenome
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
https://github.com/google-deepmind/alphagenome
GitHub
GitHub - google-deepmind/alphagenome: This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind. - google-deepmind/alphagenome
jdepoix / youtube-transcript-api
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!
https://github.com/jdepoix/youtube-transcript-api
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!
https://github.com/jdepoix/youtube-transcript-api
GitHub
GitHub - jdepoix/youtube-transcript-api: This is a python API which allows you to get the transcript/subtitles for a given YouTube…
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles...
chisel
CLI tool for developing and profiling GPU kernels locally. Just write, test, and profile GPU code from your laptop.
https://github.com/Herdora/chisel
CLI tool for developing and profiling GPU kernels locally. Just write, test, and profile GPU code from your laptop.
https://github.com/Herdora/chisel
GitHub
GitHub - Herdora/chisel: CLI tool for developing and profiling GPU kernels locally. Just write, test, and profile GPU code from…
CLI tool for developing and profiling GPU kernels locally. Just write, test, and profile GPU code from your laptop. - GitHub - Herdora/chisel: CLI tool for developing and profiling GPU kernels loc...
Making a Simple HTTP Server with Asyncio Protocols
Learn how to build a fast, minimal HTTP server using asyncio.Protocol, complete with routing, parsing, and response handling from scratch!
https://jacobpadilla.com/articles/asyncio-protocols
Learn how to build a fast, minimal HTTP server using asyncio.Protocol, complete with routing, parsing, and response handling from scratch!
https://jacobpadilla.com/articles/asyncio-protocols
Jacob Padilla
Making a Simple HTTP Server with Asyncio Protocols
Learn how to build a fast, minimal HTTP server using asyncio.Protocol, complete with routing, parsing, and response handling from scratch!
Speed Up Django Queries with values() over only()
Optimizing Django performance? Use values() instead of only() when you only need specific fields, as it skips full model instantiation and avoids triggering deferred field lookups—boosting query efficiency. The article provides practical guidance on when to choose values() for lightweight data access.
https://johnnymetz.com/posts/django-values-over-only/
Optimizing Django performance? Use values() instead of only() when you only need specific fields, as it skips full model instantiation and avoids triggering deferred field lookups—boosting query efficiency. The article provides practical guidance on when to choose values() for lightweight data access.
https://johnnymetz.com/posts/django-values-over-only/
Johnny Metz
Speed Up Django Queries with values() over only()
If your Django queries feel slow, the problem might not be your database — it might be your ORM. Recently, I was working with a query that took 25 seconds to run through the Django ORM, but the underlying SQL completed in just 2 seconds. With a single change…
Python for Nonprofits
Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data.
https://github.com/kburchfiel/pfn
Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data.
https://github.com/kburchfiel/pfn
GitHub
GitHub - kburchfiel/pfn: Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit…
Python For Nonprofits demonstrates how to use Python to retrieve, analyze, visualize, and share nonprofit data. - kburchfiel/pfn
Application Logging in Python: Recipes for Observability
The guide explains how to build robust, production-grade logging in Python by moving beyond basic print statements to use the logging module’s loggers, handlers, formatters, and filters for structured, contextual, and queryable logs. It covers best practices like configuring loggers by module name, using YAML or dictConfig for centralized setup, and adopting JSON output for modern observ...
https://www.dash0.com/guides/logging-in-python
The guide explains how to build robust, production-grade logging in Python by moving beyond basic print statements to use the logging module’s loggers, handlers, formatters, and filters for structured, contextual, and queryable logs. It covers best practices like configuring loggers by module name, using YAML or dictConfig for centralized setup, and adopting JSON output for modern observ...
https://www.dash0.com/guides/logging-in-python
Dash0
Application Logging in Python: Recipes for Observability · Dash0
Stop debugging with unstructured text Learn to build a robust Python logging system with structured JSON automatic context and full request lifecycle tracking