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News & links about Python programming.
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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/
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