Datatune
Perform transformations on your data with natural language using LLMs
https://github.com/vitalops/datatune
Perform transformations on your data with natural language using LLMs
https://github.com/vitalops/datatune
GitHub
GitHub - vitalops/datatune: Perform transformations on your data with natural language using LLMs
Perform transformations on your data with natural language using LLMs - vitalops/datatune
Python in LibreOffice (LibrePythonista Extension)
https://extensions.libreoffice.org/en/extensions/show/99231
https://extensions.libreoffice.org/en/extensions/show/99231
Unravelling t-strings
PEP 750 introduced t-strings for Python 3.14. In fact, they are so new that as of Python 3.14.0b1 there still isn't any documentation yet for t-strings. As such, this blog post will hopefully help explain what exactly t-strings are and what you might use them for by unravelling the syntax and briefly talking about potential uses for t-strings.
https://snarky.ca/unravelling-t-strings/
PEP 750 introduced t-strings for Python 3.14. In fact, they are so new that as of Python 3.14.0b1 there still isn't any documentation yet for t-strings. As such, this blog post will hopefully help explain what exactly t-strings are and what you might use them for by unravelling the syntax and briefly talking about potential uses for t-strings.
https://snarky.ca/unravelling-t-strings/
Tall, Snarky Canadian
Unravelling t-strings
PEP 750 introduced t-strings for Python 3.14. In fact, they are so new that as of Python 3.14.0b1 there still isn't any documentation yet for t-strings. 😅 As such, this blog post will hopefully help explain what exactly t-strings are and what you might use…
Ruff - A Fast Linter & Formatter to Replace Multiple Tools and Improve Code Quality
This video is a hands-on tutorial showing how to use Ruff, a super-fast Python linter and formatter written in Rust that consolidates tools like Flake8, Black, and isort into a single, efficient solution. The guide covers installing Ruff, running it from the command line, configuring it for projects, and integrating it with VS Code to improve code quality and developer workflow.
https://www.youtube.com/watch?v=828S-DMQog8
This video is a hands-on tutorial showing how to use Ruff, a super-fast Python linter and formatter written in Rust that consolidates tools like Flake8, Black, and isort into a single, efficient solution. The guide covers installing Ruff, running it from the command line, configuring it for projects, and integrating it with VS Code to improve code quality and developer workflow.
https://www.youtube.com/watch?v=828S-DMQog8
YouTube
Python Tutorial: Ruff - A Fast Linter & Formatter to Replace Multiple Tools and Improve Code Quality
In this Python tutorial, we'll be learning how to use Ruff, a super-fast Python linter and formatter written in Rust. We'll cover how to install Ruff, how to use Ruff from the command line to check and fix your code, and how to configure Ruff both for individual…
ii-agent
A new open-source framework to build and deploy intelligent agents.
https://github.com/Intelligent-Internet/ii-agent
A new open-source framework to build and deploy intelligent agents.
https://github.com/Intelligent-Internet/ii-agent
GitHub
GitHub - Intelligent-Internet/ii-agent: II-Agent: a new open-source framework to build and deploy intelligent agents
II-Agent: a new open-source framework to build and deploy intelligent agents - Intelligent-Internet/ii-agent
Ruff users, what rules are using and what are you ignoring?
https://www.reddit.com/r/Python/comments/1kttfst/ruff_users_what_rules_are_using_and_what_are_you/
https://www.reddit.com/r/Python/comments/1kttfst/ruff_users_what_rules_are_using_and_what_are_you/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Beyond Query Optimization
Lyft engineers detail how they improved the scalability and reliability of their Aurora Postgres databases by implementing connection pooling with SQLAlchemy and Amazon RDS Proxy. The article explains the challenges of managing database connections in high-traffic environments and describes how these solutions reduced connection limits, improved application stability, and optimized resou...
https://eng.lyft.com/beyond-query-optimization-aurora-postgres-connection-pooling-with-sqlalchemy-rdsproxy-200db7f562d7
Lyft engineers detail how they improved the scalability and reliability of their Aurora Postgres databases by implementing connection pooling with SQLAlchemy and Amazon RDS Proxy. The article explains the challenges of managing database connections in high-traffic environments and describes how these solutions reduced connection limits, improved application stability, and optimized resou...
https://eng.lyft.com/beyond-query-optimization-aurora-postgres-connection-pooling-with-sqlalchemy-rdsproxy-200db7f562d7
Medium
Beyond Query Optimization: Aurora Postgres Connection Pooling with SQLAlchemy & RDSProxy
Written by Jay Patel and Creston Jamison
A leap year check in three instructions
The article explores how to check if a year is a leap year using just three CPU instructions, leveraging clever bit manipulation and "magic numbers" to optimize the standard algorithm. By reverse-engineering and brute-forcing constants, the author demonstrates a branchless, highly efficient leap year check for years up to 102,499, illustrating both the mathematical tricks and practical l...
https://hueffner.de/falk/blog/a-leap-year-check-in-three-instructions.html
The article explores how to check if a year is a leap year using just three CPU instructions, leveraging clever bit manipulation and "magic numbers" to optimize the standard algorithm. By reverse-engineering and brute-forcing constants, the author demonstrates a branchless, highly efficient leap year check for years up to 102,499, illustrating both the mathematical tricks and practical l...
https://hueffner.de/falk/blog/a-leap-year-check-in-three-instructions.html
hueffner.de
A leap year check in three instructions
How to test for leap years (until year 102499) in the proleptic Gregorian calendar with just three 32-bit instructions, with detailed explanation of the bit-level tricks.
AlphaEvolve: A coding agent for scientific and algorithmic discovery
AlphaEvolve is an autonomous coding agent that uses evolutionary strategies to improve algorithms by iteratively modifying code and learning from evaluator feedback. It has achieved breakthroughs in data center scheduling, hardware design, and mathematical discovery—including surpassing Strassen’s 4×4 matrix multiplication algorithm for the first time in 56 years.
https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf
AlphaEvolve is an autonomous coding agent that uses evolutionary strategies to improve algorithms by iteratively modifying code and learning from evaluator feedback. It has achieved breakthroughs in data center scheduling, hardware design, and mathematical discovery—including surpassing Strassen’s 4×4 matrix multiplication algorithm for the first time in 56 years.
https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/AlphaEvolve.pdf
A Python frozenset interpretation of Dependent Type Theory
The post explores modeling dependent type theory (DTT) concepts using Python’s frozenset data structure, treating types as finite sets to clarify complex type-theoretic ideas. By implementing type constructors like dependent sums (Σ), dependent products (Π), and identity types in Python, the author demonstrates how key DTT judgments and structures can be represented and reasoned about in...
https://www.philipzucker.com/frozenset_dtt/
The post explores modeling dependent type theory (DTT) concepts using Python’s frozenset data structure, treating types as finite sets to clarify complex type-theoretic ideas. By implementing type constructors like dependent sums (Σ), dependent products (Π), and identity types in Python, the author demonstrates how key DTT judgments and structures can be represented and reasoned about in...
https://www.philipzucker.com/frozenset_dtt/
Hey There Buddo!
A Python frozenset interpretation of Dependent Type Theory
TLDR. Types are basically sets. Why not python sets?
awslabs / agent-squad
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
https://github.com/awslabs/agent-squad
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
https://github.com/awslabs/agent-squad
GitHub
GitHub - awslabs/agent-squad: Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Flexible and powerful framework for managing multiple AI agents and handling complex conversations - awslabs/agent-squad
daytonaio / daytona
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
https://github.com/daytonaio/daytona
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
https://github.com/daytonaio/daytona
GitHub
GitHub - daytonaio/daytona: Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code - daytonaio/daytona
2025 Python Packaging Ecosystem Survey
2025 Python Packaging Ecosystem Survey
If you make use of Python packaging tools (pip, ...
https://simonwillison.net/2025/May/18/2025-python-packaging-ecosystem-survey/#atom-tag
2025 Python Packaging Ecosystem Survey
If you make use of Python packaging tools (pip, ...
https://simonwillison.net/2025/May/18/2025-python-packaging-ecosystem-survey/#atom-tag
Simon Willison’s Weblog
2025 Python Packaging Ecosystem Survey
If you make use of Python packaging tools (pip, Anaconda, uv, dozens of others) and have opinions please spend a few minutes with this year's packaging survey. This one was …
MonsterUI: Python library for building front end UIs quickly in FastHTML apps
https://www.answer.ai/posts/2025-01-15-monsterui.html
https://www.answer.ai/posts/2025-01-15-monsterui.html
Answer.AI
MonsterUI: Bringing Beautiful UI to FastHTML – Answer.AI
Accelerate your UI development with MonsterUI, our Python library for building frontend UIs quickly in FastHTML apps.