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News & links about Python programming. https://pythonhub.dev/ Administrator: @rukeba
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
Authlib: Python Authentication
https://docs.authlib.org/en/latest/index.html
TruLens
Evaluation and Tracking for LLM Experiments.
https://github.com/truera/trulens
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/
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
Introducing an Open-Source Python API for AI Image Generator Midjourney
https://www.reddit.com/r/Python/comments/13tndcj/introducing_an_opensource_python_api_for_ai_image/
Rift
An AI-native language server for your personal AI software engineer.
https://github.com/morph-labs/rift
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/
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
OpenTalker / video-retalking
SIGGRAPH Asia 2022 VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
https://github.com/OpenTalker/video-retalking
ricklamers / gpt-code-ui
An open source implementation of OpenAI's ChatGPT Code interpreter
https://github.com/ricklamers/gpt-code-ui
languagemodels
Explore large language models on any computer with 512MB of RAM.
https://github.com/jncraton/languagemodels
Pro-Tip – pytest fixtures are magic!
Fixtures are building blocks for good tests and can increase development speed. The main issue with writing tests is setting up necessary data before the test, but pytest fixtures make it easier by injecting necessary data into your tests.
https://www.revsys.com/tidbits/pytest-fixtures-are-magic
Maccarone
Maccarone is an experimental tool that lets you write English inside Python source code.
https://github.com/bsilverthorn/maccarone
Audiocraft
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
https://github.com/facebookresearch/audiocraft
localrf
An algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
https://github.com/facebookresearch/localrf
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/
Compiling Typed Python
https://bernsteinbear.com/blog/typed-python/
sjvasquez / handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
https://github.com/sjvasquez/handwriting-synthesis
I wrote a package for creating pip constraints based on known security vulnerabilities
https://www.reddit.com/r/Python/comments/146dq8d/i_wrote_a_package_for_creating_pip_constraints/
WingetUI
A better UI for your package managers.
https://github.com/marticliment/WingetUI
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
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
Show HN: Autolabel, a Python library to label and enrich text data with LLMs
https://github.com/refuel-ai/autolabel
FableForge
Generate a picture book from a single prompt using OpenAI function calling, replicate, and Deep Lake.
https://github.com/e-johnstonn/FableForge
How to upgrade your Flask application using async
https://www.reddit.com/r/Python/comments/1410vib/how_to_upgrade_your_flask_application_using_async/
Bringing Locality of Behaviour to Django Views and URLs
Introducing django-view-decorator, a Django package which brings Locality of Behaviour to your Views and URLs.
https://valberg.dk/bringing-locality-of-behaviour-to-django-views-and-urls.html
Python 3.12.0 beta 3 released
https://pythoninsider.blogspot.com/2023/06/python-3120-beta-3-released.html
Gotchas of Streaming Pipelines: Profiling & Performance Improvements
Discover how Lyft identified and fixed performance issues in their streaming pipelines.
https://eng.lyft.com/gotchas-of-streaming-pipelines-profiling-performance-improvements-301439f46412
Python Dict – An Explorable Explanation
https://just-taking-a-ride.com/inside_python_dict/chapter1.html