ai-job-search
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
https://github.com/MadsLorentzen/ai-job-search
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
https://github.com/MadsLorentzen/ai-job-search
GitHub
GitHub - MadsLorentzen/ai-job-search: The job search that runs on your machine. AI job application framework built on Claude Code:…
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it. - MadsLorentzen...
Speculative Programmatic Tool Calling
Speculative programmatic tool calling (sPTC) speeds up AI agent harnesses by pre-launching tool calls from partially generated code instead of waiting for the model to finish generating. The approach overlaps tool execution with token generation and can also parallelize independent calls, acting like a lightweight JIT compiler for agent-generated programs.
https://alexzhang13.github.io/blog/2026/spec-ptc/
Speculative programmatic tool calling (sPTC) speeds up AI agent harnesses by pre-launching tool calls from partially generated code instead of waiting for the model to finish generating. The approach overlaps tool execution with token generation and can also parallelize independent calls, acting like a lightweight JIT compiler for agent-generated programs.
https://alexzhang13.github.io/blog/2026/spec-ptc/
Alex L. Zhang
Speculative Programmatic Tool Calling
Speculative programmatic tool calling is a class of techniques for overlapping tool call computation with the code being generated by a harness.
pentestkit
Autonomous multi-agent pentest framework that plans, exploits, verifies with required proof, assigns CVSS scores, and generates client-ready reports. It achieved 104/104 (100%) on the XBOW validation benchmarks and is powered by Kimi K3.
https://github.com/lordx64/pentestkit
Autonomous multi-agent pentest framework that plans, exploits, verifies with required proof, assigns CVSS scores, and generates client-ready reports. It achieved 104/104 (100%) on the XBOW validation benchmarks and is powered by Kimi K3.
https://github.com/lordx64/pentestkit
GitHub
GitHub - lordx64/pentestkit: Autonomous multi-agent pentest framework — plans, exploits, verifies (proof-required), CVSS-scores…
Autonomous multi-agent pentest framework — plans, exploits, verifies (proof-required), CVSS-scores and writes client-ready reports. 104/104 (100%) on the XBOW validation benchmarks, powered by Kimi...
Learn Vectorized Thinking in Python Through Examples
In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations.
https://machinelearningmastery.com/learn-vectorized-thinking-in-python-through-examples/
In this article, you will learn how to think in terms of vectorized operations using NumPy, replacing slow Python loops with efficient array-level computations.
https://machinelearningmastery.com/learn-vectorized-thinking-in-python-through-examples/
VoiceStudio
VoiceStudio is the open-source, fully local ElevenLabs alternative for voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation in 646 languages.
https://github.com/debpalash/VoiceStudio
VoiceStudio is the open-source, fully local ElevenLabs alternative for voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation in 646 languages.
https://github.com/debpalash/VoiceStudio
GitHub
GitHub - debpalash/VoiceStudio: VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design…
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creation in 646 languages. - debpalash/...
How do you actually turn Python skills into freelance income?
https://www.reddit.com/r/learnpython/comments/1w1m8fg/how_do_you_actually_turn_python_skills_into/
https://www.reddit.com/r/learnpython/comments/1w1m8fg/how_do_you_actually_turn_python_skills_into/
Reddit
From the learnpython community on Reddit
Explore this post and more from the learnpython community
Time complexity of operations on Python's built-in types
https://docs.python.org/3.16/library/time-complexity.html
https://docs.python.org/3.16/library/time-complexity.html
Geolocating Random Islet Image Using Geometry & CUDA GPU Programming
The author solved Sofia Santos’s Gralhix 004 OSINT challenge using a custom geometric pipeline and CUDA GPU acceleration to filter 80.7 million candidate landmass triplets down to 26 locations. The analysis successfully geolocated the image to Oan Resort in Micronesia at 7°21'48.4"N, 151°45'20.7"E, with the camera facing northwest.
https://yassa9.github.io/osint/gralhix-004/
The author solved Sofia Santos’s Gralhix 004 OSINT challenge using a custom geometric pipeline and CUDA GPU acceleration to filter 80.7 million candidate landmass triplets down to 26 locations. The analysis successfully geolocated the image to Oan Resort in Micronesia at 7°21'48.4"N, 151°45'20.7"E, with the camera facing northwest.
https://yassa9.github.io/osint/gralhix-004/
yassa9.github.io
gralhix #004
just a blog
fastaddress
Fastaddress is a Python package that keeps the familiar usaddress API while moving its CRF runtime to Rust for much faster US address parsing. It delivers 11.3x higher single-core throughput, scales to 360K+ addresses per second on eight threads, and matches usaddress output across 20,738 real addresses.
https://github.com/vinvomero/fastaddress
Fastaddress is a Python package that keeps the familiar usaddress API while moving its CRF runtime to Rust for much faster US address parsing. It delivers 11.3x higher single-core throughput, scales to 360K+ addresses per second on eight threads, and matches usaddress output across 20,738 real addresses.
https://github.com/vinvomero/fastaddress
GitHub
GitHub - vinvomero/fastaddress: fastaddress runs the usaddress CRF model in Rust with the same Python API. 11.3x faster single…
fastaddress runs the usaddress CRF model in Rust with the same Python API. 11.3x faster single-core (89,653 vs 7,941 addr/sec) with identical output across 20,738 real county addresses. Confidence ...
VectorSmith
VectorSmith turns vector database collections into LLM tools and exposes them through an MCP server. Using the existing collection schemas and a simple YAML configuration, you can make your vector DB data available to AI agents without writing custom tool and MCP integrations from scratch.
https://github.com/kjgpta/vectorsmith
VectorSmith turns vector database collections into LLM tools and exposes them through an MCP server. Using the existing collection schemas and a simple YAML configuration, you can make your vector DB data available to AI agents without writing custom tool and MCP integrations from scratch.
https://github.com/kjgpta/vectorsmith
GitHub
GitHub - kjgpta/vectorsmith: Your vector database, as typed tools. Write a tools.yaml, then load_tools in Python or serve over…
Your vector database, as typed tools. Write a tools.yaml, then load_tools in Python or serve over MCP. - kjgpta/vectorsmith
monty-go: Pure-Go wrapper for Pydantic's Monty Python Interpreter
https://github.com/fugue-labs/monty-go
https://github.com/fugue-labs/monty-go
GitHub
GitHub - fugue-labs/monty-go: Pure-Go wrapper for Pydantic Monty Python interpreter via WASM + wazero
Pure-Go wrapper for Pydantic Monty Python interpreter via WASM + wazero - fugue-labs/monty-go
Fuzzy String Matching in Django and PostgreSQL
Django and PostgreSQL can handle fuzzy name matching with Soundex, Daitch-Mokotoff, Levenshtein distance, and trigram similarity, each suited to different kinds of misspellings and phonetic variation. The article shows how to expose these techniques through Django ORM expressions and pair them with the right PostgreSQL indexes for efficient search at scale.
https://www.caktusgroup.com/blog/2026/08/21/fuzzy-string-matching-django-postgresql/
Django and PostgreSQL can handle fuzzy name matching with Soundex, Daitch-Mokotoff, Levenshtein distance, and trigram similarity, each suited to different kinds of misspellings and phonetic variation. The article shows how to expose these techniques through Django ORM expressions and pair them with the right PostgreSQL indexes for efficient search at scale.
https://www.caktusgroup.com/blog/2026/08/21/fuzzy-string-matching-django-postgresql/
Caktusgroup
Fuzzy String Matching in Django and PostgreSQL | Caktus Group
The bare minimum of Django and PostgreSQL building blocks for fuzzy name search: Soundex, Daitch-Mokotoff, Levenshtein, and trigrams, with a simple example of each and the index to add.
IPython is All You Need
Nathan Cooper shows how to turn IPython into a full terminal shell that runs Bash commands without !, displays images, and retains rich execution history. He then adds an AI assistant that can understand shell context, outputs, images, and errors, and safely execute Python and Bash commands through allowlisted tools.
https://nathancooper.io/blog/2026-08-10-ipython-is-all-you-need
Nathan Cooper shows how to turn IPython into a full terminal shell that runs Bash commands without !, displays images, and retains rich execution history. He then adds an AI assistant that can understand shell context, outputs, images, and errors, and safely execute Python and Bash commands through allowlisted tools.
https://nathancooper.io/blog/2026-08-10-ipython-is-all-you-need
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
Sentence Transformers 6.0 introduces MultiVectorEncoder for training and fine-tuning ColBERT-style retrieval models in Python. The tutorial walks through the full training stack and shows a domain-tuned medical model outperforming over 50 retrieval model configurations on the author’s evaluation.
https://huggingface.co/blog/train-multi-vector-encoder
Sentence Transformers 6.0 introduces MultiVectorEncoder for training and fine-tuning ColBERT-style retrieval models in Python. The tutorial walks through the full training stack and shows a domain-tuned medical model outperforming over 50 retrieval model configurations on the author’s evaluation.
https://huggingface.co/blog/train-multi-vector-encoder
huggingface.co
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Tech-OA-Interview-Questions
Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet.
https://github.com/perixtar/Tech-OA-Interview-Questions
Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet.
https://github.com/perixtar/Tech-OA-Interview-Questions
GitHub
GitHub - perixtar/Tech-OA-Interview-Questions: Daily updated list of Tech Company OAs and Interview Problems. Save your time from…
Daily updated list of Tech Company OAs and Interview Problems. Save your time from finding them all over the internet. - perixtar/Tech-OA-Interview-Questions
linecast
Weather, tides, the sun, the moon, and maps, in your terminal. The Old Farmer's Almanac meets Minitel.
https://github.com/ashuttl/linecast
Weather, tides, the sun, the moon, and maps, in your terminal. The Old Farmer's Almanac meets Minitel.
https://github.com/ashuttl/linecast
GitHub
GitHub - ashuttl/linecast: Weather, tides, the sun, the moon, maps, and a planetarium, in your terminal. The Old Farmer's Almanac…
Weather, tides, the sun, the moon, maps, and a planetarium, in your terminal. The Old Farmer's Almanac meets Minitel. - ashuttl/linecast