PythonHub

Hundreds of malicious Python packages found stealing sensitive data https://www.reddit.com/r/Python/comments/171juq8/hundreds_of_malicious_python_packages_found/

BoTorch BoTorch is a library for Bayesian Optimization research built on top of PyTorch. https://botorch.org/

LangChain Crash Course for Beginners LangChain is a framework designed to simplify the creation of applications using large language models. It makes it easy to connect AI models with a bunch of different data sources so you can create customized NLP applications. https://www.youtube.com/watch?v=lG7Uxts9SXs

Scaling Large (Language) Models with PyTorch Lightning Learn about techniques to train large models like Llama and Stable Diffusion using PyTorch Lightning. https://lightning.ai/blog/scaling-large-language-models-with-pytorch-lightning/

ECTO-1A / AppleJuice Apple BLE proximity pairing message spoofing https://github.com/ECTO-1A/AppleJuice

cloud_benchmarker Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time. https://github.com/Dicklesworthstone/cloud_benchmarker

stepping Incremental View Maintenance for Python application developers. https://stepping.site/

Exploring Wordle This article will show you how to solve Wordle programmatically using Python. https://www.georgevreilly.com/2023/09/26/ExploringWordle.html

Python variables, references and mutability SummaryThe analogy of putting things in a box that works for most languages to explain variables ... https://www.bitecode.dev/p/python-variables-references-and-mutability

A tool that detects, extracts templates, and structures logs, via GPT-4. A command-line tool that detects, extracts log templates, and structures logs to in-process database, leveraging template patterns generated by GPT-4. https://github.com/ethe/log2row

mistral-src Reference implementation of Mistral AI 7B v0.1 model. https://github.com/mistralai/mistral-src

Building an API in the cloud in fewer than 200 lines of code Cloud tools and Python packages have become so powerful that you can build a (scalable) cloud-based API in fewer than 200 lines of code. In this post, you’ll see how to use Google Cloud, Terraform, and FastAPI to deploy a queryable data API on the cloud. https://aeturrell.com/blog/posts/build-a-cloud-api/build-a-cloud-api.html

kernel-hardening-checker A tool for checking the security hardening options of the Linux kernel. https://github.com/a13xp0p0v/kernel-hardening-checker

Octogen Octogen is an Open-Source Code Interpreter Powered by GPT3.5/4 and Codellama. https://github.com/dbpunk-labs/octogen

5 Ways to Measure Execution Time in Python You can benchmark the execution of Python code using the “time” module in the standard library. In this tutorial, you will discover how to time the execution of Python code using a suite of different techniques. https://superfastpython.com/benchmark-execution-time/

Python Hub Weekly Digest for 2023-10-08 https://pythonhub.dev/digest/2023-10-08/

Seaborn Confusion Matrix: How to Plot and Visualize in Python Master the art of data visualization with Seaborn confusion matrix plotting. Evaluate model performance like a pro. https://www.marsja.se/seaborn-confusion-matrix-how-to-plot-and-visualize-in-python/

I built an AI doctor with ChatGPT - Full Clinical Experience The software is designed to test artificial intelligence's ability to perform patient intake, chart notes, and offer investigative and diagnostic aid. However, it is important to note that this software has NOT been tested, validated, or approved by the Food and Drug Administration (FDA) or any other regulatory body for medical devices. https://www.youtube.com/watch?v=EAger7jOrsA

Starting on Software Bill-of-Materials (SBOM) for CPython https://sethmlarson.dev/security-developer-in-residence-weekly-report-12

stanfordnlp / dspy DSPy: The framework for programming with foundation models https://github.com/stanfordnlp/dspy