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News & links about Python programming.
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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/
ruoccofabrizio / azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.

https://github.com/ruoccofabrizio/azure-open-ai-embeddings-qna
5 Tips for Writing Great Code Documentation

This video shares the essential principles for creating clear, concise, and effective code documentation. From commenting to docstrings, you’ll learn how to make your code documentation shine and improve accessibility for others.

https://www.youtube.com/watch?v=L7Ry-Fiij-M
Why you should still read the docs

Do you feel you're fighting your tools? Do you feel you're relying too much on autocomplete and inline documentation? Most good documentation won't show up in your IDE – rather, it is about how to use the library, and the problem the library is solving.

https://death.andgravity.com/output