PythonHub

Building A RisingWave Connector for Django ORM Ever wanted to connect a streaming database to Django ORM. Learn how with Django and RisingWave. https://bas.codes/posts/django-risingwave

Medical_Intake Automated pipeline for medical intake, diagnosis, tests, etc. https://github.com/daveshap/Medical_Intake

KillianLucas / open-interpreter OpenAI's Code Interpreter in your terminal, running locally https://github.com/KillianLucas/open-interpreter

Python Hub Weekly Digest for 2023-10-01 https://pythonhub.dev/digest/2023-10-01/

PyLLMCore A pythonic library providing light-weighted interface with LLMs https://github.com/paschembri/py-llm-core

Simulate the Monty Hall problem in Python Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners! https://www.dataschool.io/python-probability-simulation/

Temporian Temporian is a Python library for feature engineering and data augmentation of temporal data (e.g. time-series, transactions) in machine learning applications. https://github.com/google/temporian

Compiling ML models to C for fun ML models can be compiled to graphs, which can be traversed to perform forward and backward passes. This approach can improve performance and make it easier to debug ML models. https://bernsteinbear.com/blog/compiling-ml-models/

EvoDiff Generation of protein sequences and evolutionary alignments via discrete diffusion models. https://github.com/microsoft/evodiff

Django 5.0 alpha 1 released https://www.djangoproject.com/weblog/2023/sep/18/django-50-alpha-1-released/

HTTP-Shell MultiPlatform HTTP Reverse Shell. https://github.com/JoelGMSec/HTTP-Shell

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

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

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

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/

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/

vpselector Visual Pandas Selector: Visualize and interactively select time-series data. https://github.com/manumerous/vpselector

facebookresearch / codellama Inference code for CodeLlama models https://github.com/facebookresearch/codellama

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/

PyGraft Configurable Generation of Schemas and Knowledge Graphs at Your Fingertips. https://github.com/nicolas-hbt/pygraft