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News & links about Python programming.
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Integrals 300X Faster in Python (DON'T use SciPy)

The video discusses the use of TorchQuad, which is a library of different integration techniques built using PyTorch functionality that utilizes GPU accelerated operations for faster computations. The video shows a basic example and goes on to demonstrate a physics problem and derivation of a four-dimensional integral that can be solved using TorchQuad library.

https://www.youtube.com/watch?v=GOiTF11umMo
Learning Physically Simulated Tennis Skills from Broadcast Videos

The research project "Vid2Player3D" by NVIDIA aims to develop a deep learning model that can convert 2D videos into 3D animations by leveraging temporal coherence and depth cues, enabling the generation of realistic 3D virtual characters from ordinary videos.

https://research.nvidia.com/labs/toronto-ai/vid2player3d
The Little Book of Deep Learning

A short introduction to deep learning. It aims at providing the necessary context to understand key recent AI models for image generation and language processing.

https://fleuret.org/public/lbdl.pdf
muellerberndt / mini-agi

MiniAGI is a minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza.

https://github.com/muellerberndt/mini-agi
karrio

Karrio is an open-source shipping infrastructure for platform. With Karrio, you can build shipping experience into your platform, access a network of shipping carriers with a single API integration, automate fulfilment and improve logistics operations.

https://github.com/karrioapi/karrio
Optimize Django Query Performance by combining Select Related and Prefetch Related

When building a Django application, one of the key challenges developers face is optimizing database query performance. Django provides two tools,selectrelated and prefetchrelated, that reduce the number of database queries, and increase the performance of your application. This post explores the power of these two methods and how to combine them to maximize your application’s query performance.

https://johnnymetz.com/posts/combine-select-related-prefetch-related/
Datalab: A Linter for ML Datasets

Catch issues in your data/labels. This unified audit uses your ML model to automatically detect various problems in real-world datasets that can be fixed to produce a better model.

https://cleanlab.ai/blog/datalab/
Building a Headless E-Commerce App Using OceanBase and Python

This post demonstrates how to use OceanBase in a Python project. We will create a REST API that serves as the backend of a headless e-commerce app.

https://dzone.com/articles/building-a-headless-e-commerce-app-using-oceanbase
Implement DNS in a weekend

An interactive tutorial on implementing a basic DNS server using Python, guiding users through the process step-by-step with clear explanations and code examples, making it a useful resource for learning and understanding DNS server implementation.

https://implement-dns.wizardzines.com/