Pandas for Data Analysis by Example

Learn how to use Pandas and Python for Data Analysis, to Data Cleaning and Data Wrangling. You will learn by creating real life projects interactively to help you take the next step in your Data Science Career.

https://www.youtube.com/watch?v=gtjxAH8uaP0

SevaSk / ecoute

Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.

https://github.com/SevaSk/ecoute

symbex: search Python code for functions and classes, then pipe them into a LLM

symbex is a new Python CLI tool that allows you to search Python code for functions and classes by name or wildcard, then see just the source code of those matching entities. symbex can then be used to pipe the source code into a large language model (LLM) for further analysis.

https://simonwillison.net/2023/Jun/18/symbex/

A theme editor for JupyterLab

This post introduces a new theme editor extension for JupyterLab that allows users to customize the look and feel of the JupyterLab interface. The theme editor extension is a simple interface that allows users to select colors, font family, and font size, and to preview the changes in real time.

https://blog.jupyter.org/a-theme-editor-for-jupyterlab-8f08ab62894d

Rift

An AI-native language server for your personal AI software engineer.

https://github.com/morph-labs/rift

WingetUI

A better UI for your package managers.

https://github.com/marticliment/WingetUI

OpenLLM

An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.

https://github.com/bentoml/OpenLLM

sjvasquez / handwriting-synthesis

Handwriting Synthesis with RNNs ✏️

https://github.com/sjvasquez/handwriting-synthesis

Building Search DSLs with Django

The article explains how to build a custom search DSL (Domain Specific Language) for Django projects. The DSL allows users to search for content in a more natural way, using keywords and phrases instead of complex SQL queries.

https://danlamanna.com/posts/building-search-dsls-with-django/

TruLens

Evaluation and Tracking for LLM Experiments.

https://github.com/truera/trulens

Playing with Streamlit and LLMs.

This post describes how to use Streamlit to build a simple interface for interacting with large language models (LLMs). It also includes code examples that show how to use Streamlit to display text, images, and tables, and to interact with LLMs through prompts and queries.

https://lethain.com/streamlit-llms/

localrf

An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.

https://github.com/facebookresearch/localrf

Remote Interactive Debugging of Python Applications Running in Kubernetes

In this tutorial we will create a setup for remote debugging of Python applications running in Kubernetes, which will allow you to set breakpoints, step through code, and interactively debug your applications without any change to your code or deployment.

https://martinheinz.dev/blog/99

arguably

arguably turns functions into command line interfaces (CLIs). arguably has a tiny API and is extremely easy to integrate.

https://github.com/treykeown/arguably

The Annotated S4

This post provides an overview of the Structured State Space for Sequence Modeling (S4) architecture which is a new approach to very long-range sequence modeling tasks for vision, language, and audio, showing a capacity to capture dependencies over tens of thousands of steps. It also includes code implementations that allow readers to experiment with the S4 architecture.

https://srush.github.io/annotated-s4

Designing Pythonic library APIs

The article discusses some principles for designing good Python library APIs, including structure, naming, error handling, type annotations, and more. The author argues that Python's flexibility can be a double-edged sword, and that it's important to design APIs that are easy to use and understand.

https://benhoyt.com/writings/python-api-design/