pre-commit: install with uv
pre-commit is my favourite Git-integrated “run things on commit” tool.
It acts as a kind of package ...
https://adamj.eu/tech/2025/05/07/pre-commit-install-uv/
pre-commit is my favourite Git-integrated “run things on commit” tool.
It acts as a kind of package ...
https://adamj.eu/tech/2025/05/07/pre-commit-install-uv/
adamj.eu
pre-commit: install with uv - Adam Johnson
pre-commit is my favourite Git-integrated “run things on commit” tool. It acts as a kind of package manager, installing tools as necessary from their Git repositories. This makes it fairly easy to set up: all you need to install is pre-commit itself, and…
uvify: Turn any python repository to environment (oneliner) using uv python manager
https://www.reddit.com/r/Python/comments/1mbe67q/uvify_turn_any_python_repository_to_environment/
https://www.reddit.com/r/Python/comments/1mbe67q/uvify_turn_any_python_repository_to_environment/
Reddit
From the Python community on Reddit: uvify: Turn any python repository to environment (oneliner) using uv python manager
Explore this post and more from the Python community
Tracking malicious code execution in Python
Recently, I have been working on a new library that statically analyzes Python scripts and detects ...
https://rushter.com/blog/python-code-exec/
Recently, I have been working on a new library that statically analyzes Python scripts and detects ...
https://rushter.com/blog/python-code-exec/
Artem Golubin
Tracking malicious code execution in Python | Artem Golubin
Why code analysis can be hard when it comes to malicious code.
❤2
Nested functions in Python
Functions in Python can be defined within another function.
Table of contents
...
https://www.pythonmorsels.com/nested-functions/
Functions in Python can be defined within another function.
Table of contents
...
https://www.pythonmorsels.com/nested-functions/
👍1
pyx: a Python-native package registry, now in Beta
pyx: a Python-native package registry, now in Beta
Since its first release, the single ...
https://simonwillison.net/2025/Aug/13/pyx/#atom-tag
pyx: a Python-native package registry, now in Beta
Since its first release, the single ...
https://simonwillison.net/2025/Aug/13/pyx/#atom-tag
Simon Willison’s Weblog
pyx: a Python-native package registry, now in Beta
Since its first release, the single biggest question around the uv Python environment management tool has been around Astral's business model: Astral are a VC-backed company and at some point …
tensorlake
Tensorlake is a Document Ingestion API and a serverless platform for building data processing and orchestration APIs
https://github.com/tensorlakeai/tensorlake
Tensorlake is a Document Ingestion API and a serverless platform for building data processing and orchestration APIs
https://github.com/tensorlakeai/tensorlake
GitHub
GitHub - tensorlakeai/tensorlake: Tensorlake is a Document Ingestion API and a serverless platform for building data processing…
Tensorlake is a Document Ingestion API and a serverless platform for building data processing and orchestration APIs - tensorlakeai/tensorlake
❤1
Anatomy of a Python Loop
Learn Python loops the fun way by rolling dice, casting fireballs, and finally understanding what continue really does.
https://orencodes.io/anatomy-of-a-python-loop/
Learn Python loops the fun way by rolling dice, casting fireballs, and finally understanding what continue really does.
https://orencodes.io/anatomy-of-a-python-loop/
Oren Codes
Anatomy of a Python Loop
Learn Python loops the fun way by rolling dice, casting fireballs, and finally understanding what continue really does.
How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows
This post walks through five common pandas bottlenecks, how to recognize them, and some workarounds you can try on CPU with a few tweaks to your code plus a GPU-powered drop-in accelerator, cudf.pandas, that delivers order-of-magnitude speedups with no code changes.
https://developer.nvidia.com/blog/how-to-spot-and-fix-5-common-performance-bottlenecks-in-pandas-workflows/
This post walks through five common pandas bottlenecks, how to recognize them, and some workarounds you can try on CPU with a few tweaks to your code plus a GPU-powered drop-in accelerator, cudf.pandas, that delivers order-of-magnitude speedups with no code changes.
https://developer.nvidia.com/blog/how-to-spot-and-fix-5-common-performance-bottlenecks-in-pandas-workflows/
NVIDIA Technical Blog
How to Spot (and Fix) 5 Common Performance Bottlenecks in pandas Workflows
Slow data loads, memory-intensive joins, and long-running operations—these are problems every Python practitioner has faced. They waste valuable time and make iterating on your ideas harder than it…
AsyncFlow
Digital twin for async backends: build topologies, simulate traffic, and get per-server and full system latency/throughput insights.
https://github.com/AsyncFlow-Sim/AsyncFlow
Digital twin for async backends: build topologies, simulate traffic, and get per-server and full system latency/throughput insights.
https://github.com/AsyncFlow-Sim/AsyncFlow
GitHub
GitHub - AsyncFlow-Sim/AsyncFlow: Scenario-driven simulator for async distributed systems: declare topologies, run simulations…
Scenario-driven simulator for async distributed systems: declare topologies, run simulations, measure latency/throughput, resource usage and see where bottlenecks emerge. - AsyncFlow-Sim/AsyncFlow
Customize your IPython shell in Docker
You can heavily customize your IPython shell experience when using it inside Docker or in a Docker Compose project. Without your personal preferences annoying your teammates!
https://frankwiles.com/posts/customize-ipython-docker/
You can heavily customize your IPython shell experience when using it inside Docker or in a Docker Compose project. Without your personal preferences annoying your teammates!
https://frankwiles.com/posts/customize-ipython-docker/
Frankwiles
Customize your IPython shell in Docker
You can heavily customize your IPython shell experience when using it inside Docker or in a Docker Compose project. Without your personal preferences annoying your teammates!
oraios / serena
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
https://github.com/oraios/serena
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & Agno integration)
https://github.com/oraios/serena
GitHub
GitHub - oraios/serena: A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other…
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations) - oraios/serena
terminal-bench
A benchmark for LLMs on complicated tasks in the terminal.
https://github.com/laude-institute/terminal-bench
A benchmark for LLMs on complicated tasks in the terminal.
https://github.com/laude-institute/terminal-bench
GitHub
GitHub - laude-institute/terminal-bench: A benchmark for LLMs on complicated tasks in the terminal
A benchmark for LLMs on complicated tasks in the terminal - laude-institute/terminal-bench
Build a Coding Agent from Scratch: The Complete Python Tutorial
The tutorial walks through building a baby version of the Claude Code AI coding agent from scratch in Python, covering creating a reasoning brain, instructions, tools, and memory with a ReAct loop for interactive coding tasks. It also progresses to adding safe code execution, sandboxing, and context management to handle large codebases, enabling the agent to write, test, debug, and itera...
https://www.siddharthbharath.com/build-a-coding-agent-python-tutorial/
The tutorial walks through building a baby version of the Claude Code AI coding agent from scratch in Python, covering creating a reasoning brain, instructions, tools, and memory with a ReAct loop for interactive coding tasks. It also progresses to adding safe code execution, sandboxing, and context management to handle large codebases, enabling the agent to write, test, debug, and itera...
https://www.siddharthbharath.com/build-a-coding-agent-python-tutorial/
Sid Bharath
Build a Coding Agent from Scratch: The Complete Python Tutorial - Sid Bharath
I have been a heavy user of Claude Code since it came out. As someone who builds agents for a living, I’ve always wondered what makes it so good. So I decided to try and reverse engineer it. It turns out building a coding agent is surprisingly straightforward…
👍1
From Zero to GPU
A Guide to Building and Scaling Production-Ready CUDA Kernels
https://huggingface.co/blog/kernel-builder
A Guide to Building and Scaling Production-Ready CUDA Kernels
https://huggingface.co/blog/kernel-builder
huggingface.co
From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Python CLI for Verifying Assembly
This post describes Python CLI tool for verifying assembly programs using symbolic execution with Ghidra pcode semantics. It highlights novel features like embedding formal specifications directly into assembly through macros, handling invariants via control flow graph cuts, and providing detailed verification and countermodel feedback to ensure correctness of assembly code.
https://www.philipzucker.com/asm_verify3/
This post describes Python CLI tool for verifying assembly programs using symbolic execution with Ghidra pcode semantics. It highlights novel features like embedding formal specifications directly into assembly through macros, handling invariants via control flow graph cuts, and providing detailed verification and countermodel feedback to ensure correctness of assembly code.
https://www.philipzucker.com/asm_verify3/
Hey There Buddo!
A Python CLI for Verifying Assembly
I’ve been building a system that verifies assembly programs via symbolic execution. I think the following are the most novel points of my approach: