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
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
YouTube
From RNNs to Transformers: The Complete Neural Machine Translation Journey
This course is a comprehensive journey through the evolution of sequence models and neural machine translation (NMT). It blends historical breakthroughs, architectural innovations, mathematical insights, and hands-on PyTorch replications of landmark papers…
Python Workers redux: fast cold starts, packages, and a uv-first workflow
https://blog.cloudflare.com/python-workers-advancements/
https://blog.cloudflare.com/python-workers-advancements/
The Cloudflare Blog
Python Workers redux: fast cold starts, packages, and a uv-first workflow
Recent advancements in Cloudflare Python Workers means fast cold starts, comprehensive package support, and a great developer experience. We explain how they were achieved and show how Python can be used to build serverless applications on Cloudflare.
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
Extract clean, typed, Pydantic-validated structured data directly from PDFs
https://cocoindex.io/blogs/extraction-dspy
cocoindex.io
Extracting Structured Data from Patient Intake Forms with DSPy and CocoIndex | CocoIndex
Continuously extract clean, typed, Pydantic-validated structured data directly from patient intake forms, using DSPy and CocoIndex. This tutorial demonstrates building scalable, production-grade AI pipelines with typed Pydantic validation, OCR vision models…
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
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
GitHub
GitHub - Lehsqa/robyn-config: 🧩 Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support…
🧩 Production-ready Robyn backend boilerplate generator with flexible project layouts, ORM support, and CLI tooling for fast project setup - Lehsqa/robyn-config
❤1
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
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
GitLab
Sydsec / Syd · GitLab
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.
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
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
YouTube
The Lazy Loading Pattern: How to Make Python Programs Feel Instant
💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide.
In this video, I dive deep into the **Lazy Loading pattern,** one of the simplest and most effective ways to make Python applications feel instantly responsive. I start with…
In this video, I dive deep into the **Lazy Loading pattern,** one of the simplest and most effective ways to make Python applications feel instantly responsive. I start with…
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
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
Sloppylint
Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases.
https://github.com/rsionnach/sloppylint
Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases.
https://github.com/rsionnach/sloppylint
GitHub
GitHub - rsionnach/sloppylint: Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases
Python AI Slop Detector - Find over-engineering, hallucinations, and dead code in Python codebases - rsionnach/sloppylint
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/
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/
adamj.eu
Django: implement HTTP basic authentication - Adam Johnson
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.
Python SDK – forecasting with foundation time-series and tabular models
https://github.com/S-FM/faim-python-client
https://github.com/S-FM/faim-python-client
GitHub
GitHub - S-FM/faim-python-client: Python sdk for zero-shot time-series forecasting
Python sdk for zero-shot time-series forecasting. Contribute to S-FM/faim-python-client development by creating an account on GitHub.
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/
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/
en.andros.dev
Quick Docker Tutorial to Run a Python Script | Andros Fenollosa
You're facing a first starting point to learn Docker from scratch where practice takes priority over theory. The objective of this article is NOT to t
metacode
The standard language for machine-readable code comments.
https://github.com/pomponchik/metacode
The standard language for machine-readable code comments.
https://github.com/pomponchik/metacode
GitHub
GitHub - pomponchik/metacode: A standard language for machine-readable code comments
A standard language for machine-readable code comments - pomponchik/metacode
Deprecations via warnings don't work for Python libraries
https://sethmlarson.dev/deprecations-via-warnings-dont-work-for-python-libraries
https://sethmlarson.dev/deprecations-via-warnings-dont-work-for-python-libraries
sethmlarson.dev
Deprecations via warnings don’t work for Python libraries
Last week urllib3 v2.6.0 was released which contained removals for
several APIs that we've known were problematic since 2019 and
have been deprecated since 2022. The deprecations
were marked in the...
several APIs that we've known were problematic since 2019 and
have been deprecated since 2022. The deprecations
were marked in the...
FastPython
This is the official GitHub repository for FastPython. FastPython is a project dedicated to improving Python’s performance through practical, drop-in code patterns and optimization techniques. The goa
https://github.com/tomtyiu/fastPython
This is the official GitHub repository for FastPython. FastPython is a project dedicated to improving Python’s performance through practical, drop-in code patterns and optimization techniques. The goa
https://github.com/tomtyiu/fastPython
GitHub
GitHub - tomtyiu/fasterPython: Faster Python for AI and Python
Faster Python for AI and Python. Contribute to tomtyiu/fasterPython development by creating an account on GitHub.
context-async-sqlalchemy
This library greatly simplifies integrating async sqlalchemy into any ASGI application. It handles engine and session lifecycle management. It provides a bunch of useful utilities to make it easy and quick for developers to write applications, but it also doesn't limit them.
https://github.com/krylosov-aa/context-async-sqlalchemy
This library greatly simplifies integrating async sqlalchemy into any ASGI application. It handles engine and session lifecycle management. It provides a bunch of useful utilities to make it easy and quick for developers to write applications, but it also doesn't limit them.
https://github.com/krylosov-aa/context-async-sqlalchemy
GitHub
GitHub - krylosov-aa/context-async-sqlalchemy: A convenient way to configure and work with an async SQLAlchemy session through…
A convenient way to configure and work with an async SQLAlchemy session through context in asynchronous applications - krylosov-aa/context-async-sqlalchemy