1140
News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
daytonaio / daytona
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
https://github.com/daytonaio/daytona
Tired of tracing code by hand?
https://www.reddit.com/r/Python/comments/1kzq9vi/tired_of_tracing_code_by_hand/
Flask Wiki
A community-driven wiki for learning Flask.
https://flaskwiki.wiki/
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
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
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
ii-agent
A new open-source framework to build and deploy intelligent agents.
https://github.com/Intelligent-Internet/ii-agent
Mutmut – Python Mutation Tester
https://github.com/boxed/mutmut
Python in LibreOffice (LibrePythonista Extension)
https://extensions.libreoffice.org/en/extensions/show/99231
Flowfile
Flowfile is a visual ETL tool combining drag-and-drop workflows with the speed of Polars dataframes. Build and analyze data pipelines without code. Perfect for analysts and engineers needing fast, intuitive data processing. Designed to run locally or deploy to production environments.
https://github.com/Edwardvaneechoud/Flowfile/
nlweb
Building conversational interfaces for websites is hard. NLWeb seeks to make it easy for websites to do this. And since NLWeb natively speaks MCP, the same natural language APIs can be used both by humans and agents.
https://github.com/microsoft/nlweb
Turning Data into Insight
The article demonstrates how to build a flexible, modern data lakehouse architecture using open-source tools like MinIO, Apache Iceberg, Airflow, dbt, Spark, Pandera, and Superset. By integrating these technologies with Docker for easy deployment, it shows how to orchestrate robust data pipelines, ensure data quality, and enable scalable analytics from raw ingestion to interactive dashboards.
https://towardsdev.com/turning-data-into-insight-flexible-lakehouse-with-minio-iceberg-airflow-dbt-spark-pandera-409d036e5542
pyfuze
pyfuze makes your Python project run anywhere.
https://github.com/TanixLu/pyfuze
LiveSplat
Live Gaussian Splatting for RGBD Camera Streams.
https://github.com/axbycc/LiveSplat
muscle-mem
A cache for AI agents to learn and replay complex behaviors.
https://github.com/pig-dot-dev/muscle-mem
awslabs / agent-squad
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
https://github.com/awslabs/agent-squad
Python Hub Weekly Digest for 2025-06-01
https://pythonhub.dev/digest/2025-06-01/
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/
Free-Threaded Python Library Compatibility Checker
https://ft-checker.com/
Do you really use redis-py seriously?
https://www.reddit.com/r/Python/comments/1ksicim/do_you_really_use_redispy_seriously/
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/
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
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/
Datatune
Perform transformations on your data with natural language using LLMs
https://github.com/vitalops/datatune
Python Tooling at Scale: LlamaIndex’s Monorepo Overhaul
https://www.llamaindex.ai/blog/python-tooling-at-scale-llamaindex-s-monorepo-overhaul
Machine Learning Prototyping with DuckDB and scikit-learn
In this post, we prototype a machine learning workflow using DuckDB for data handling and scikit-learn for modeling.
https://duckdb.org/2025/05/16/scikit-learn-duckdb.html
Web Apps for Python Devs with Auto-Generated UI
https://davia.ai/
Juvio
UV kernel for Jupyter.
https://github.com/OKUA1/juvio
I don't like NumPy
The author, once a fan of NumPy, now criticizes its complexity and opacity when working with high-dimensional arrays, arguing that common operations often become unreadable and error-prone due to confusing broadcasting, indexing, and function conventions. While NumPy excels at simple cases, the post contends that its design choices—especially around implicit broadcasting and lack of expl...
https://dynomight.net/numpy/
Voice_Extractor
Extract voice segments of a target speaker from podcasts - Useful for creating speech datasets.
https://github.com/ReisCook/Voice_Extractor