Guido van Rossum Interviews Thomas Wouters (Python Core Dev)
https://gvanrossum.github.io/interviews/Thomas.html
https://gvanrossum.github.io/interviews/Thomas.html
Django ORM Standalone: Querying an existing database
A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb.
https://www.paulox.net/2026/02/20/django-orm-standalone-database-inspectdb-query/
A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb.
https://www.paulox.net/2026/02/20/django-orm-standalone-database-inspectdb-query/
Paolo Melchiorre
Django ORM Standalone⁽¹⁾: Querying an existing database
A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb.
Jeffallan / claude-skills
66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.
https://github.com/Jeffallan/claude-skills
66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.
https://github.com/Jeffallan/claude-skills
GitHub
GitHub - Jeffallan/claude-skills: 66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair…
66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer. - Jeffallan/claude-skills
dbslice
Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset.
https://github.com/nabroleonx/dbslice
Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset.
https://github.com/nabroleonx/dbslice
GitHub
GitHub - nabroleonx/dbslice: Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record,…
Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset - nabroleonx/dbslice
Python Type Checker Comparison: Empty Container Inference
https://pyrefly.org/blog/container-inference-comparison/
https://pyrefly.org/blog/container-inference-comparison/
pyrefly.org
Python Type Checker Comparison: Empty Container Inference | Pyrefly
Learn how different type checkers handle empty containers in Python, including Pyrefly, Ty, Pyright and Mypy.
Stario
Stario is a Python web framework for real-time hypermedia. While most frameworks treat HTTP as request → response, Stario treats connections as ongoing conversations - open an SSE stream, push DOM patches, sync reactive signals.
https://github.com/bobowski/stario
Stario is a Python web framework for real-time hypermedia. While most frameworks treat HTTP as request → response, Stario treats connections as ongoing conversations - open an SSE stream, push DOM patches, sync reactive signals.
https://github.com/bobowski/stario
GitHub
GitHub - Bobowski/stario: Bringing back joy of building web applications.
Bringing back joy of building web applications. Contribute to Bobowski/stario development by creating an account on GitHub.
dj-control-room
A centralized dashboard for managing Django admin panels.
https://github.com/yassi/dj-control-room
A centralized dashboard for managing Django admin panels.
https://github.com/yassi/dj-control-room
GitHub
GitHub - yassi/dj-control-room: The control room for your Django app
The control room for your Django app. Contribute to yassi/dj-control-room development by creating an account on GitHub.
Python Essentials for AI Agents – Tutorial
This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-w...
https://www.youtube.com/watch?v=UsfpzxZNsPo
This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-w...
https://www.youtube.com/watch?v=UsfpzxZNsPo
YouTube
Python Essentials for AI Agents – Tutorial
This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of…
OAUTH on client-side with Python
An overview of OAUTH in non-web apps and the general data-flow of an OAUTH Client.
https://jakabszilard.work/posts/oauth-in-python
An overview of OAUTH in non-web apps and the general data-flow of an OAUTH Client.
https://jakabszilard.work/posts/oauth-in-python
jakabszilard.work
Personal Profile
Rendering 18,000 videos in real-time with Python
Learn how the author used game engine tech to solve a video streaming problem.
https://madebymohammed.com/pysaic
Learn how the author used game engine tech to solve a video streaming problem.
https://madebymohammed.com/pysaic
Madebymohammed
Rendering 18,000 videos in real-time with Python
How I used game engine tech to solve a video streaming problem
🔥1
github / awesome-copilot
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
https://github.com/github/awesome-copilot
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
https://github.com/github/awesome-copilot
GitHub
GitHub - github/awesome-copilot: Community-contributed instructions, agents, skills, and configurations to help you make the most…
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. - github/awesome-copilot
iNTERCEPT
A free and open-source platform that unites the best signal intelligence tools into a single, accessible interface.
https://github.com/smittix/intercept
A free and open-source platform that unites the best signal intelligence tools into a single, accessible interface.
https://github.com/smittix/intercept
GitHub
GitHub - smittix/intercept: iNTERCEPT, a free and open-source platform that unites the best signal intelligence tools into a single…
iNTERCEPT, a free and open-source platform that unites the best signal intelligence tools into a single, accessible interface. - smittix/intercept
❤1
WSE
Rust-powered WebSocket engine for Python. Up to 14M msg/s JSON, 30M msgpack/zlib fan-in, 2.1M del/s fan-out, zero-GIL JWT, E2E encryption.
https://github.com/silvermpx/wse
Rust-powered WebSocket engine for Python. Up to 14M msg/s JSON, 30M msgpack/zlib fan-in, 2.1M del/s fan-out, zero-GIL JWT, E2E encryption.
https://github.com/silvermpx/wse
GitHub
GitHub - silvermpx/wse: WSE - Rust-powered WebSocket engine for Python. Up to 5M del/s fan-out, native cluster binary protocol…
WSE - Rust-powered WebSocket engine for Python. Up to 5M del/s fan-out, native cluster binary protocol, zero-GIL JWT, E2E encryption - silvermpx/wse
Does it still make sense to learn python or any programming language in 2026
https://www.reddit.com/r/learnpython/comments/1ritmiw/does_it_still_make_sense_to_learn_python_or_any/
https://www.reddit.com/r/learnpython/comments/1ritmiw/does_it_still_make_sense_to_learn_python_or_any/
Reddit
From the learnpython community on Reddit
Explore this post and more from the learnpython community
CLI subcommands with lazy imports
The post explains that Python 3.15’s new lazy imports feature is great for CLI tools, but naïve argparse subcommand patterns accidentally force all lazy imports to execute early, negating the benefit. It then shows two simple patterns that preserve laziness for subcommands: dispatching with a match statement, or wrapping lazy-imported callables in lambdas so they are only reified when th...
https://snarky.ca/subcommands-with-lazy-imports/
The post explains that Python 3.15’s new lazy imports feature is great for CLI tools, but naïve argparse subcommand patterns accidentally force all lazy imports to execute early, negating the benefit. It then shows two simple patterns that preserve laziness for subcommands: dispatching with a match statement, or wrapping lazy-imported callables in lambdas so they are only reified when th...
https://snarky.ca/subcommands-with-lazy-imports/
Tall, Snarky Canadian
CLI subcommands with lazy imports
In case you didn't hear, PEP 810 got accepted which means Python 3.15 is going to support lazy imports! One of the selling points of lazy imports is with code that has a CLI so that you only import code as necessary, making the app a bit more snappy
taylorwilsdon / google_workspace_mcp
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool
https://github.com/taylorwilsdon/google_workspace_mcp
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool
https://github.com/taylorwilsdon/google_workspace_mcp
GitHub
GitHub - taylorwilsdon/google_workspace_mcp: Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search &…
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search & Drive with AI - Comprehensive Google Workspace / G Suite MCP Server & CLI Tool - taylorwilsdon/goo...
Capturing Plots in R and Python: A Tale of Two Architectures
This post explains how plot capture works differently in Python and R: in Python (especially Jupyter) all figure output goes through a single display system that makes automatic capture reliable, whereas in R the graphics architecture has no central display layer so capturing plots is harder and often requires explicit publishing. It contrasts the architectural reasons behind these diffe...
https://blog.gofigr.io/posts/capturing-plots-in-r-and-python
This post explains how plot capture works differently in Python and R: in Python (especially Jupyter) all figure output goes through a single display system that makes automatic capture reliable, whereas in R the graphics architecture has no central display layer so capturing plots is harder and often requires explicit publishing. It contrasts the architectural reasons behind these diffe...
https://blog.gofigr.io/posts/capturing-plots-in-r-and-python
blog.gofigr.io
Capturing Plots in R and Python: A Tale of Two Architectures | GoFigr Blog