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Read most in the last 7 days, among articles from the last 30 days.

  1. Python

    Python Performance Optimization: A Practical Guide

    Python performance optimization involves identifying and fixing code bottlenecks. The process starts with measuring and choosing appropriate methods to address slowdowns.

    realpython.comAdded

  2. Issue #757: Django Migrations, Functional Programming, MVC, and More (2026-10-20)

    PyCoder's Weekly Issue #757 covers Django migrations, functional programming in Python, and the MVC pattern. It includes a tutorial on building a small coffee and tea store using Django migrations, insights into functional programming in Python, and organizing web apps with the MVC pattern using Flask.

    pycoders.comAdded

  3. Python

    Rodrigo Girão Serrão: DX improvements in Python 3.15

    Python 3.15 introduces improvements in developer experience, including enhanced error messages, more colors, and default UTF-8 encoding. These changes aim to help developers identify and fix errors more efficiently.

    mathspp.comAdded

  4. Blog Post

    Building an Isolated Preview for AI-Generated HTML

    Using an iframe with srcdoc for AI-generated HTML may seem safe, but it poses risks. This article discusses protective measures to mitigate these risks.

    blog.master.devAdded

  5. Company

    OpenAI models are coming to Google Cloud

    OpenAI and Google Cloud are collaborating to bring frontier models and Codex workflows to Gemini’s Model Garden, accessible via Google Cloud Marketplace, enhancing developers' access to advanced AI tools.

    openai.comAdded

  6. Building an AI Agent With LangGraph and Python

    LangGraph is a Python framework for building stateful, cyclic, and multi-actor Large Language Model (LLM) applications. It extends LangChain's capabilities, allowing for complex workflows. A video course demonstrates building an email-processing agent using LangGraph, requiring intermediate Python and LangChain knowledge.

    realpython.comAdded

  7. AI in practice

    Deepseek open-sources the inference engine that powers its fastest and cheapest AI model

    Deepseek has open-sourced DeepInfer, the inference framework behind its fast V4.1-Flash model. This vLLM-based system reduces compute costs and energy use, increasing pricing pressure on Western AI providers like OpenAI and Anthropic.

    the-decoder.comAdded