Bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

https://github.com/BatsResearch/bonito

Intro to DSPy: Goodbye Prompting, Hello Programming!

How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling.

https://towardsdatascience.com/intro-to-dspy-goodbye-prompting-hello-programming-4ca1c6ce3eb9

Hatchet

A Distributed, Fault-Tolerant Task Queue.

https://github.com/hatchet-dev/hatchet

pfl

Python framework for Private Federated Learning simulations.

https://github.com/apple/pfl-research

From Beeps to Toots: Reviving Pagers with Python and Mastodon

The article showcases a unique application of Python programming by connecting pagers with Mastodon, blending the reliability of pagers with modern social media interactions. It highlights the versatility of Python in bridging analog devices like pagers with digital platforms, demonstrating the enduring relevance of traditional communication methods in today's digital age.

https://finnley.dolphinhome.net/2024/02/25/from-beeps-to-toots-reviving-pagers-with-python-and-mastodon/

mit-han-lab / efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

https://github.com/mit-han-lab/efficientvit

Deploying Django Apps in Kubernetes

Learn you can optimize Django deployments seamlessly in a Kubernetes environment, whether you are a Django developer or a Kubernetes enthusiast.

https://blog.jetbrains.com/pycharm/2024/03/deploying-django-apps-in-kubernetes/

Cadwyn

Production-ready community-driven modern Stripe-like API versioning in FastAPI.

https://github.com/zmievsa/cadwyn

BlendSQL

Unified dialect for orchestrating SQLite logic and LLM reasoning.

https://github.com/parkervg/blendsql

Python environment management using JupyterLab Desktop CLI

The article discusses Python environment management using the JupyterLab Desktop CLI, which offers various commands and options to manage Python environments efficiently within the application. It covers setting up the JupyterLab Desktop CLI, creating new Python environments, and utilizing bundled environment installers or downloading packages from the registry to enhance the development...

https://blog.jupyter.org/python-environment-management-using-jupyterlab-desktop-cli-e57485c9287c

kserve / kserve

Standardized Serverless ML Inference Platform on Kubernetes

https://github.com/kserve/kserve

Combining Rust and Python: The Best of Both Worlds?

This video shows you how to seamlessly integrate Rust with Python using Pyo3. This library allows you to write Python modules with Rust. This means that we get the speed and safety of Rust along with Python's easy-to-use features!

https://www.youtube.com/watch?v=lyG6AKzu4ew

django-admin-shellx

A Django Admin Web Shell using Xterm.js and Django Channels.

https://github.com/adinhodovic/django-admin-shellx

Create a quiz app in 6 minutes with HTMX and Django

This guide shows you how to build a simple quiz application using Django and HTMX in 6 minutes. HTMX is great for creating dynamic web applications without writing JavaScript.

https://www.photondesigner.com/articles/quiz-htmx

How fast can we process a CSV file

The article explores the speed of processing CSV files, highlighting the use of PyArrow to enhance CSV reading speed significantly. It compares different methods like pandas with C engine, pure Python looping, and pandas with PyArrow engine, showcasing the efficiency of PyArrow in processing CSV files faster and more effectively

https://datapythonista.me/blog/how-fast-can-we-process-a-csv-file