2 525
Подписчики
-224 часа
+67 дней
+3230 день
Архив постов
2 525
metacode
The standard language for machine-readable code comments.
https://github.com/pomponchik/metacode
2 525
Quick Docker Tutorial to Run a Python Script
This tutorial introduces Docker basics for running Python scripts in containers, prioritizing hands-on practice over theory. It covers Docker concepts, CLI commands, image management, bind mounts for scripts, and Dockerfile creation with dependencies like requirements.txt.?
https://en.andros.dev/blog/5d4edfbf/quick-docker-tutorial-to-run-a-python-script/
2 525
Python SDK – forecasting with foundation time-series and tabular models
https://github.com/S-FM/faim-python-client
2 525
Django: implement HTTP basic authentication
Previously, we covered bearer authentication within HTTP’s general authentication framework. In this post, we’ll implement basic authentication, where the client provides a username and password.
https://adamj.eu/tech/2025/12/08/django-basic-authentication/
2 525
Sloppylint
Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases.
https://github.com/rsionnach/sloppylint
2 525
qcrawl
Fast async web crawling & scraping framework for Python.
https://github.com/crawlcore/qcrawl
2 525
Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks
The paper introduces a benchmark called SUSVIBES to test whether vibe-coded outputs are safe to deploy in real software projects. It finds that while many AI-generated solutions work functionally, the vast majority are insecure, raising serious concerns for production use.
https://arxiv.org/pdf/2512.03262
2 525
The Lazy Loading Pattern: How to Make Python Programs Feel Instant
This video provides a deep dive into the Lazy Loading pattern in Python, demonstrating how it immediately improves application responsiveness by delaying initialization until required. It teaches practical techniques for implementation, including using generators, caching, and background preloading to optimize performance, memory, and code design.
https://www.youtube.com/watch?v=ENnDxEOAKKc
2 525
Syd
Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit, YARA, and more. Built for environments where cloud AI isn't available.
https://gitlab.com/sydsec1/Syd
2 525
Top Python Libraries of 2025 (11th Edition)
https://www.reddit.com/r/Python/comments/1pptnyc/top_python_libraries_of_2025_11th_edition/
2 525
ZHZisZZ / dllm
dLLM: Simple Diffusion Language Modeling
https://github.com/ZHZisZZ/dllm
2 525
robyn-config — CLI to scaffold production-ready Robyn apps
Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup
https://github.com/Lehsqa/robyn-config
2 525
Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex
Extract clean, typed, Pydantic-validated structured data directly from PDFs
https://cocoindex.io/blogs/extraction-dspy
2 525
Python Workers redux: fast cold starts, packages, and a uv-first workflow
https://blog.cloudflare.com/python-workers-advancements/
2 525
Learn NLP Research: 7 Papers Implemented
This video traces the evolution of neural machine translation from RNNs and LSTMs to attention mechanisms, Transformers, and multilingual models like GNMT. It includes PyTorch implementations of 7 landmark papers, mathematical explanations, and tools like Transformer Playground for hands-on learning.
https://www.youtube.com/watch?v=kRv2ElPNAdY
2 525
We Got Claude to Fine-Tune an Open Source LLM
We gave Claude the ability to fine-tune language models using a new tool called Hugging Face Skills. Not just write training scripts, but to actually submit jobs to cloud GPUs, monitor progress, and push finished models to the Hugging Face Hub. This tutorial shows you how it works and how to use it yourself.
https://huggingface.co/blog/hf-skills-training
2 525
facebookresearch / sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
https://github.com/facebookresearch/sam3
2 525
FunAudioLLM / CosyVoice
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
https://github.com/FunAudioLLM/CosyVoice
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