PythonHub

Optimal SQLite settings for Django The article provides optimal SQLite settings for Django applications, aimed at enhancing performance and reliability for smaller deployments. It includes specific PRAGMA configurations and a simple backup strategy, highlighting the potential of SQLite when correctly tuned for production use. https://gcollazo.com/optimal-sqlite-settings-for-django/

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis. https://github.com/ictnlp/StreamSpeech

Python in Visual Studio Code – June 2024 Release This release includes the following announcements: https://devblogs.microsoft.com/python/python-in-visual-studio-code-june-2024-release/

pdm-project / pdm A modern Python package and dependency manager supporting the latest PEP standards https://github.com/pdm-project/pdm

Let's reproduce GPT-2 (124M) In this video, Andrej Karpathy demonstrates how to reproduce the GPT-2 (124M) model, covering topics like parameter sharing, model initialization, mixed precision training, optimizations like flash attention, and hyperparameter tuning. https://www.youtube.com/watch?v=l8pRSuU81PU

LLaVA-VL / LLaVA-NeXT https://github.com/LLaVA-VL/LLaVA-NeXT

Burr Burr makes it easy to develop applications that make decisions (chatbots, agents, simulations, etc...) from simple python building blocks. https://github.com/dagworks-inc/burr

Inspectus Inspectus is a versatile visualization tool for large language models. It runs smoothly in Jupyter notebooks via an easy-to-use Python API. Inspectus provides multiple views, offering diverse insights into language model behaviors. https://github.com/labmlai/inspectus

My thoughts on Python in Excel An in-depth review of Microsoft's new Python in Excel functionality. https://www.xlwings.org/blog/my-thoughts-on-python-in-excel

Understanding HTTP Server by Implementing in Python https://muhammadraza.me/2024/building-http-server/

CPython Garbage Collection: The Internal Mechanics and Algorithms A detailed code walkthrough of how CPython implements memory management, including reference counting and garbage collection. https://blog.codingconfessions.com/p/cpython-garbage-collection-internals

Cant decide between flask, django ninja or fastAPI for sideproject https://www.reddit.com/r/Python/comments/1dgbq1e/cant_decide_between_flask_django_ninja_or_fastapi/

Python Hub Weekly Digest for 2024-06-16 https://pythonhub.dev/digest/2024-06-16/

llm-regression Exploring the classical regression capabilities of LLMs. https://github.com/AlexIoannides/llm-regression

Vista A Generalizable World Model for Autonomous Driving. https://github.com/OpenDriveLab/Vista

Let’s optimize! Running 15× faster with a situation-specific algorithm Sometimes the best way to speed up your algorithm is to adjust it to the specifics of your data. https://pythonspeed.com/articles/lets-optimize-median-local-threshold/

awesome-llm-apps Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models. https://github.com/Shubhamsaboo/awesome-llm-apps

groqbook Generate entire books in seconds using Groq and Llama3. https://github.com/Bklieger/groqbook

Seismometer Predictive model evaluation with a focus on healthcare. https://github.com/epic-open-source/seismometer

Python at the Speed of Julia The article explores achieving Python's ease of use with Julia's speed, illustrating how to optimize Python code using Julia for high-performance computing tasks. It provides examples and insights on integrating both languages to enhance computational efficiency without sacrificing Python's simplicity. https://glassnotebook.io/r/dxJTYbJBmPR1X3NQUfwXB/99_python_at_the_speed_of_julia.jl