How to add serverless functions to Django in 6 minutes (with HTMX and AWS Lambda)

This article discusses the integration of serverless functions with Django, highlighting how developers can leverage the benefits of serverless computing for specific tasks in a Django application. It explores the advantages of serverless architecture and provides practical insights for implementation.

https://www.photondesigner.com/articles/serverless-functions-django

PYOBD

Open source obd2 car diagnostics program.

https://github.com/barracuda-fsh/pyobd

ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

https://github.com/ludwig-ai/ludwig

Galactic

Galactic provides cleaning and curation tools for massive unstructured text datasets. It's designed to help you curate fine-tuning datasets, create document collections for retrieval-augmented generation (RAG), and even perform deduplication of web-scale datasets for LLM pre-training. This

https://github.com/taylorai/galactic

HomeHarvest

Python package for real estate scraping, supporting Zillow, Realtor.com & Redfin.

https://github.com/ZacharyHampton/HomeHarvest

llm-guard

The Security Toolkit for LLM Interactions.

https://github.com/laiyer-ai/llm-guard

neulab / prompt2model

prompt2model - Generate Deployable Models from Natural Language Instructions

https://github.com/neulab/prompt2model

EuroPython 2023 Videos

Here are all the videos for the conference, brought to you by the EuroPython 2023 Team and the EuroPython Society.

https://www.youtube.com/playlist?list=PL8uoeex94UhFcwvAfWHybD7SfNgIUBRo-

PyGraft

Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips.

https://github.com/nicolas-hbt/pygraft

19X faster response time

Lincoln Loop optimized a large publishing platform's database performance. Overall, the database performance increased 19 times.

https://lincolnloop.com/insights/optimizing-response-time-19x-faster/

facebookresearch / codellama

Inference code for CodeLlama models

https://github.com/facebookresearch/codellama

vpselector

Visual Pandas Selector: Visualize and interactively select time-series data.

https://github.com/manumerous/vpselector

Speeding up Floyd-Steinberg dithering: an optimization exercise

A worked out example: optimizing low-level code to get significant performance and memory improvements.

https://pythonspeed.com/articles/optimizing-dithering/

Why Are There So Many Python Dataframes?

This post explores the proliferation of Python dataframes, dissecting the reasons behind their prevalence in data science and analysis, shedding light on the various libraries and frameworks that contribute to their abundance.

https://ponder.io/why-are-there-so-many-python-dataframes/

Building RAG-based LLM Applications for Production (Part 1)

In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale, evaluation and routing.

https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1

Logparser

Logparser provides a machine learning toolkit and benchmarks for automated log parsing, which is a crucial step for structured log analytics

https://github.com/logpai/logparser

QuasiQueue

QuasiQueue is a MultiProcessing library for Python that makes it super easy to have long running MultiProcess jobs. QuasiQueue handles process creation and cleanup, signal management, cross process communication, and all the other garbage that makes people hate dealing with multiprocessing.

https://github.com/tedivm/quasiqueue