rGPU
Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.
https://github.com/ymcrcat/rgpu
Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.
https://github.com/ymcrcat/rgpu
GitHub
GitHub - ymcrcat/rgpu: Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac…
Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation. - ymcrcat/rgpu
Pyronaut
Pyronaut is a high-performance polyglot application platform that brings Micronaut features like HTTP routing, dependency injection, configuration, validation, and Java library access to Python via GraalPy.
https://github.com/micronaut-projects/pyronaut
Pyronaut is a high-performance polyglot application platform that brings Micronaut features like HTTP routing, dependency injection, configuration, validation, and Java library access to Python via GraalPy.
https://github.com/micronaut-projects/pyronaut
GitHub
GitHub - micronaut-projects/pyronaut: High Performance Python Application Platform
High Performance Python Application Platform. Contribute to micronaut-projects/pyronaut development by creating an account on GitHub.
Can Jev save my inbox from the Democrats?
The author outlines an end-to-end ML project evaluating whether TypeSafe’s Jev, accessed through OpenRouter, and smaller local models can effectively filter political fundraising emails from a personal inbox. He ultimately builds a 23.4 MB quantized ONNX SetFit model using mdbr-leaf-mt and confidence thresholding, creating a fast, CPU-friendly local classifier while exposing the remainin...
https://huggingface.co/blog/stephen-solka/use-jev-to-delete-fundraising-emails
The author outlines an end-to-end ML project evaluating whether TypeSafe’s Jev, accessed through OpenRouter, and smaller local models can effectively filter political fundraising emails from a personal inbox. He ultimately builds a 23.4 MB quantized ONNX SetFit model using mdbr-leaf-mt and confidence thresholding, creating a fast, CPU-friendly local classifier while exposing the remainin...
https://huggingface.co/blog/stephen-solka/use-jev-to-delete-fundraising-emails
huggingface.co
Can Jev save my inbox from the Democrats?
A Blog post by Stephen Solka on Hugging Face
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How we built an async-aware Python profiler
Learn how Datadog made Python profiling async-aware while reducing profiler overhead and preserving context across asyncio tasks.
https://www.datadoghq.com/blog/engineering/async-python-profiler/
Learn how Datadog made Python profiling async-aware while reducing profiler overhead and preserving context across asyncio tasks.
https://www.datadoghq.com/blog/engineering/async-python-profiler/
Datadog
How we built an async-aware Python profiler | Datadog
Learn how we made Python profiling async-aware while reducing profiler overhead and preserving context across asyncio tasks.
8 Python 3.15 Features You Need to Know
Python 3.15 introduces practical enhancements such as lazy imports, a built-in immutable dictionary, and streamlined unpacking in comprehensions. These updates, alongside a new sampling profiler and default UTF-8 encoding, aim to improve developer productivity and application performance.
https://www.youtube.com/watch?v=bgeqL4Btou0
Python 3.15 introduces practical enhancements such as lazy imports, a built-in immutable dictionary, and streamlined unpacking in comprehensions. These updates, alongside a new sampling profiler and default UTF-8 encoding, aim to improve developer productivity and application performance.
https://www.youtube.com/watch?v=bgeqL4Btou0
YouTube
Python 3.15 Is a Bigger Update Than I Expected
🧱 Build software that lasts. Join the Software Design Mastery program → https://arjan.codes/mastery.
Python 3.15 brings some surprisingly useful changes, from lazy imports and a built-in immutable dictionary to a standard sentinel and a new way to flatten…
Python 3.15 brings some surprisingly useful changes, from lazy imports and a built-in immutable dictionary to a standard sentinel and a new way to flatten…
Jev for Python engineers
Vercel’s Python AI SDK adds support for Jev, a fast universal classifier that answers structured choice, scoring, and probability questions without task-specific training. The post tests Jev on classifying Python vs. English and generating Python ASTs, showing that it works well for narrow decisions but still struggles when pushed into general code generation.
https://vercel.com/blog/jev-for-python-engineers
Vercel’s Python AI SDK adds support for Jev, a fast universal classifier that answers structured choice, scoring, and probability questions without task-specific training. The post tests Jev on classifying Python vs. English and generating Python ASTs, showing that it works well for narrow decisions but still struggles when pushed into general code generation.
https://vercel.com/blog/jev-for-python-engineers
Vercel
Jev for Python engineers
Explore Jev with Vercel's Python AI SDK. Learn how its fast, structured decisions work, try the experimental evaluate() API, and follow two experiments in text classification and Python code generation.
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openTPU
An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo. Runs Qwen3, LFM2.5 and Qwen3.5 on a Kintex-7 PCIe card.
https://github.com/FeSens/openTPU
An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo. Runs Qwen3, LFM2.5 and Qwen3.5 on a Kintex-7 PCIe card.
https://github.com/FeSens/openTPU
GitHub
GitHub - FeSens/openTPU: An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo.…
An open-source AI accelerator, developed by AI: RTL, ISA, simulator, compiler and profiler in one repo. Runs Qwen3, LFM2.5 and Qwen3.5 on a Kintex-7 PCIe card. - FeSens/openTPU
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How to Take a Website Screenshot with Python
Vendor-authored Site-Shot tutorial: Python SDK, CSV batch captures, and a local HTML index. Requires a paid Site-Shot API plan.
https://www.site-shot.com/blog/take-website-screenshot-with-python/
Vendor-authored Site-Shot tutorial: Python SDK, CSV batch captures, and a local HTML index. Requires a paid Site-Shot API plan.
https://www.site-shot.com/blog/take-website-screenshot-with-python/
Site-Shot
How to Take a Website Screenshot with Python
Take a website screenshot with Python using the Site-Shot SDK or HTTP API. Save a PNG, capture full pages or countries, and turn a CSV into an HTML report.
Django: serve apple-app-site-association and assetlinks.json
Django can serve the apple-app-site-association and assetlinks.json files needed for Apple Universal Links and Android App Links, letting installed apps securely claim website URLs and support password autofill and passkeys. The post walks through the required JSON, Django views, tests, caching, and production verification with Apple’s CDN and Google’s Digital Asset Links tools.
https://adamj.eu/tech/2026/10/02/django-app-links/
Django can serve the apple-app-site-association and assetlinks.json files needed for Apple Universal Links and Android App Links, letting installed apps securely claim website URLs and support password autofill and passkeys. The post walks through the required JSON, Django views, tests, caching, and production verification with Apple’s CDN and Google’s Digital Asset Links tools.
https://adamj.eu/tech/2026/10/02/django-app-links/
adamj.eu
Django: serve apple-app-site-association and assetlinks.json - Adam Johnson
If your site has companion Apple or Android apps, you probably want links to your site to open in those apps, when installed. Both platforms support this, with Apple calling the feature Universal Links and Android calling it App Links.
Making a mathematical model for better Indic keyboards
The article develops a mathematical model for more efficient Indic touchscreen keyboards, starting with Tamil and mapping script structure into Boolean logic and compact input states. It uses Python with SymPy to derive and simplify the logic, then implements the resulting input engine in TypeScript.
https://triangulatedexistence.mataroa.blog/blog/making-a-mathematical-model-for-better-indic-keyboards/
The article develops a mathematical model for more efficient Indic touchscreen keyboards, starting with Tamil and mapping script structure into Boolean logic and compact input states. It uses Python with SymPy to derive and simplify the logic, then implements the resulting input engine in TypeScript.
https://triangulatedexistence.mataroa.blog/blog/making-a-mathematical-model-for-better-indic-keyboards/
Build Your Own Agentic Harness in Python - Full Tutorial
This tutorial demonstrates how to build a custom AI agentic harness in pure Python by progressively integrating LLM communication, tool calling, and Model Context Protocol (MCP) support. It covers the full development loop from scratch, enabling persistent memory and model routing to create functional, autonomous agents.
https://www.youtube.com/watch?v=H5o1P8RMiMw
This tutorial demonstrates how to build a custom AI agentic harness in pure Python by progressively integrating LLM communication, tool calling, and Model Context Protocol (MCP) support. It covers the full development loop from scratch, enabling persistent memory and model routing to create functional, autonomous agents.
https://www.youtube.com/watch?v=H5o1P8RMiMw
YouTube
Build Your Own Agentic Harness in Python - Full Tutorial
Check out the AI stack I use for my own business (in partnership with HubSpot): https://clickhubspot.com/5dedde
In this video, I build a full AI agent harness in Python completely from scratch — no LangChain, no CrewAI, no framework of any kind — just Python…
In this video, I build a full AI agent harness in Python completely from scratch — no LangChain, no CrewAI, no framework of any kind — just Python…
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Polars 2.0
Polars 2.0 introduces initial out-of-core spill-to-disk support, major performance improvements, first-class SQL, a new Map dtype, and stricter dtype handling. With the SQL and performance work, Polars reports leading DataFusion and DuckDB on TPC-H and TPC-DS benchmarks.
https://pola.rs/posts/release-polars-2/
Polars 2.0 introduces initial out-of-core spill-to-disk support, major performance improvements, first-class SQL, a new Map dtype, and stricter dtype handling. With the SQL and performance work, Polars reports leading DataFusion and DuckDB on TPC-H and TPC-DS benchmarks.
https://pola.rs/posts/release-polars-2/
Polars
Release of Polars 2.0
DataFrames for the new era
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ai-agents-zero-to-hero
Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks.
https://github.com/tradertanmay/ai-agents-zero-to-hero
Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks.
https://github.com/tradertanmay/ai-agents-zero-to-hero
GitHub
GitHub - tradertanmay/ai-agents-zero-to-hero: Learn AI agents from first principles to production. Zero mandatory dependencies…
Learn AI agents from first principles to production. Zero mandatory dependencies, pure standard Python 3.11+, and no magic frameworks. - tradertanmay/ai-agents-zero-to-hero
Rust for CPython (Python Language Summit 2026)
CPython developers are exploring a gradual introduction of Rust, starting with an optional Rust implementation of zlib in Python 3.16 before considering broader use in areas like I/O, JSON, parsing, and memoryview. The proposal aims to improve safety and performance without rewriting CPython, while addressing concerns around platform support, dependencies, build complexity, and whether c...
https://blog.python.org/2026/09/language-summit-2026-rust-for-cpython/
CPython developers are exploring a gradual introduction of Rust, starting with an optional Rust implementation of zlib in Python 3.16 before considering broader use in areas like I/O, JSON, parsing, and memoryview. The proposal aims to improve safety and performance without rewriting CPython, while addressing concerns around platform support, dependencies, build complexity, and whether c...
https://blog.python.org/2026/09/language-summit-2026-rust-for-cpython/
Python Insider
Rust for CPython (Python Language Summit 2026) | Python Insider
David Hewitt shares a status update, first module, and potential acceptance criteria for the Rust for CPython project
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clausal-prolog
Clausal Prolog is a Python implementation of Prolog for neurosymbolic AI, combining symbolic reasoning with Python and neural models in the same process without a separate runtime.
https://github.com/neurosymbolica/clausal-prolog
Clausal Prolog is a Python implementation of Prolog for neurosymbolic AI, combining symbolic reasoning with Python and neural models in the same process without a separate runtime.
https://github.com/neurosymbolica/clausal-prolog
GitHub
GitHub - neurosymbolica/clausal-prolog: A Neurosymbolic Prolog built on Python
A Neurosymbolic Prolog built on Python. Contribute to neurosymbolica/clausal-prolog development by creating an account on GitHub.
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TurboPython
A Python-to-C++ compiler. Typed Python to native binaries with no Python runtime, no GC, no GIL.
https://tpy-lang.org/
A Python-to-C++ compiler. Typed Python to native binaries with no Python runtime, no GC, no GIL.
https://tpy-lang.org/
TurboPython
TurboPython - a high-performance dialect of Python, compiled to C++
A Python-to-C++ compiler for TurboPython, a high-performance dialect of Python: native binaries with no interpreter, no garbage collector and no GIL. Source files stay valid Python.
WagtailRocket
A boilerplate for CMS websites developed in Wagtail to save you tens of hours of work.
https://github.com/AlexBrence/WagtailRocket
A boilerplate for CMS websites developed in Wagtail to save you tens of hours of work.
https://github.com/AlexBrence/WagtailRocket
GitHub
GitHub - AlexBrence/WagtailRocket: A Wagtail boilerplate to save tens of hours of work
A Wagtail boilerplate to save tens of hours of work - AlexBrence/WagtailRocket
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