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
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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…
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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:
laramies / theHarvester
E-mails, subdomains and names Harvester - OSINT
https://github.com/laramies/theHarvester
E-mails, subdomains and names Harvester - OSINT
https://github.com/laramies/theHarvester
GitHub
GitHub - laramies/theHarvester: E-mails, subdomains and names Harvester - OSINT
E-mails, subdomains and names Harvester - OSINT . Contribute to laramies/theHarvester development by creating an account on GitHub.
AsyncIO - Complete Guide to Asynchronous Programming with Animations
The video teaches how to write asynchronous code in Python using AsyncIO with async/await syntax. It covers core concepts like coroutines, tasks, and the event loop, shows how to convert synchronous code to async, and demonstrates performance benefits using real-world examples and animations.
https://www.youtube.com/watch?v=oAkLSJNr5zY
The video teaches how to write asynchronous code in Python using AsyncIO with async/await syntax. It covers core concepts like coroutines, tasks, and the event loop, shows how to convert synchronous code to async, and demonstrates performance benefits using real-world examples and animations.
https://www.youtube.com/watch?v=oAkLSJNr5zY
YouTube
Python Tutorial: AsyncIO - Complete Guide to Asynchronous Programming with Animations
In this video, we'll be learning all about AsyncIO in Python and how to write asynchronous code using the async/await syntax. We'll explore how AsyncIO works under the hood with visual animations, understand key concepts like coroutines, tasks, and the event…
monkeSearch
Fully local, temporally aware natural language file search on your pc! even without a GPU. find relevant files using natural language in less than 1 second.
https://github.com/monkesearch/monkeSearch
Fully local, temporally aware natural language file search on your pc! even without a GPU. find relevant files using natural language in less than 1 second.
https://github.com/monkesearch/monkeSearch
GitHub
GitHub - monkesearch/monkeSearch: fully local, temporally aware natural language file search on your pc! even without a GPU. find…
fully local, temporally aware natural language file search on your pc! even without a GPU. find relevant files using natural language in less than 1 second. - monkesearch/monkeSearch
We Needed Better Cloud Storage for Python so We Built Obstore
Obstore is a fast, lightweight Python library for working with object storage—backed by Rust and built for clarity, speed, and interoperability. It’s already being used across cloud-native geospatial tools and supports common workflows out of the box.
https://developmentseed.org/blog/2025-08-01-obstore/
Obstore is a fast, lightweight Python library for working with object storage—backed by Rust and built for clarity, speed, and interoperability. It’s already being used across cloud-native geospatial tools and supports common workflows out of the box.
https://developmentseed.org/blog/2025-08-01-obstore/
developmentseed.org
We Needed Better Cloud Storage for Python so We Built Obstore — Development Seed
Obstore solves the friction we kept hitting in cloud-native workflows.
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Preventing Domain Resurrection Attacks
PyPI has implemented new security measures to prevent domain resurrection attacks, where expired domains are re-registered by attackers to hijack accounts via password resets. Since June 2025, PyPI has unverified over 1,800 email addresses tied to expiring domains, blocking these addresses from being used for account recovery and enhancing account security.
https://blog.pypi.org/posts/2025-08-18-preventing-domain-resurrections/
PyPI has implemented new security measures to prevent domain resurrection attacks, where expired domains are re-registered by attackers to hijack accounts via password resets. Since June 2025, PyPI has unverified over 1,800 email addresses tied to expiring domains, blocking these addresses from being used for account recovery and enhancing account security.
https://blog.pypi.org/posts/2025-08-18-preventing-domain-resurrections/
blog.pypi.org
Preventing Domain Resurrection Attacks - The Python Package Index Blog
PyPI now checks for expired domains to prevent domain resurrection attacks, a type of supply-chain attack where someone buys an expired domain and uses it to take over PyPI accounts through password resets.
MCPMark
MCP Servers are shaping the future of software. MCPMark is a comprehensive, stress-testing benchmark and a collection of diverse, verifiable tasks designed to evaluate model capabilities in real-world MCP use.
https://github.com/eval-sys/mcpmark
MCP Servers are shaping the future of software. MCPMark is a comprehensive, stress-testing benchmark and a collection of diverse, verifiable tasks designed to evaluate model capabilities in real-world MCP use.
https://github.com/eval-sys/mcpmark
GitHub
GitHub - eval-sys/mcpmark: MCP Servers are shaping the future of software. MCPMark is a comprehensive, stress-testing benchmark…
MCP Servers are shaping the future of software. MCPMark is a comprehensive, stress-testing benchmark and a collection of diverse, verifiable tasks designed to evaluate model capabilities in real-wo...
Pro-Tip – Sometimes LFU > LRU
This article discusses how AI/web crawlers create excessive sessions that push legitimate user sessions out of cache, degrading user experience on sites like e-commerce platforms. It suggests configuring Redis with an LFU (Least Frequently Used) eviction policy, rather than the common LRU (Least Recently Used), to preferentially keep frequently used sessions (like those of real users) wh...
https://www.revsys.com/tidbits/sometimes-lfu-lru/
This article discusses how AI/web crawlers create excessive sessions that push legitimate user sessions out of cache, degrading user experience on sites like e-commerce platforms. It suggests configuring Redis with an LFU (Least Frequently Used) eviction policy, rather than the common LRU (Least Recently Used), to preferentially keep frequently used sessions (like those of real users) wh...
https://www.revsys.com/tidbits/sometimes-lfu-lru/
REVSYS
Sometimes LFU > LRU
Stop letting bot traffic evict your customers' sessions. A simple Redis configuration switch from LRU to LFU solved our crawler problem, with a Django configuration example.