#Python
130 related articles
Core Course in Agent Development: A Practical Path with Python and Large Model Agents
Breaking down the seven-chapter path of a core agent development course on Bilibili: from Python syntax, virtual environments, and Jupyter, to intelligent computing platforms, the Hugging Face model community, and on to Gradio interfaces and Flask APIs, outlining the complete core workflow and learning order for large-model Agent development.
Python Visitor Pattern and Better Alternatives Explained
A deep dive into Python's visitor pattern and four alternatives: method pattern, pattern matching, dictionary mapping, and functools.singledispatch. Choose the best decoupling design by change frequency.
Python 3.15 New Feature: Is the sentinel Type Better Than None?
Python 3.15 adds the sentinel type, using named unique sentinel objects to replace None and bare object(), resolving confusion among missing values, explicit emptiness, and invalid input while avoiding type hint failures.
Building an AI Agent from Scratch in Python: Generate a Complete Scripted Video from Voice
Build an AI agent from scratch in Python using OpenRouter's unified API to chain speech transcription, script generation, image generation, speech synthesis, and video generation into a five-step pipeline that turns one voice command into a complete scripted video. Detailed code for each step, JSON Schema structured output, polling, and cost control.
Building a Python MCP Server from Scratch: Create Your AI Agent Plugin
Learn how to build a Python MCP Server from scratch to create a personal health tracking AI agent plugin. This article covers MCP protocol principles, the division of responsibilities between AI agents and MCP, SQLite data storage, and Docker cloud deployment, helping developers build low-cost AI tools that manage data over the long term.
Python PayPal Payment Integration in Practice: One-Time Payments and Subscriptions
Learn Python PayPal integration via two projects: one-time payments in Flask and webhook-driven SaaS subscriptions, covering order creation, capture, signature verification, and ngrok debugging.
The Pitfalls of Cross-System CSV Encoding Detection: Chardet Misjudgment and Byte Fault Tolerance in Practice
Deconstructing character encoding detection pitfalls in cross-system CSV pipelines: chardet's misjudgment boundaries, Shift_JIS vs CP932 conflicts, two-stage fault-tolerant decoding architecture, and a post-mortem of QA startup failure caused by dependency guards.
Do AI Image Generators Support Transparent PNGs? Testing Gemini and ChatGPT
Can AI image generators output true transparent PNGs? We check Gemini, ChatGPT, Grok, and Midjourney, with Python code to detect fake checkerboards and an API cutout fix.
End Duplicate Uploads with One File: An Adobe Stock Batch Publishing Tracker
Duplicate submissions from re-running scripts during Adobe Stock batch uploads are high-risk. Here's a complete fix using a single-file Python upload tracker plus a deterministic metadata generator, with zero dependencies.
No Vector Database Needed: Hand-Writing Cosine Similarity with fastembed + numpy
Build RAG without a vector database: generate embeddings with a 33MB fastembed model, hand-write cosine similarity in numpy, and finish résumé retrieval in ~60 lines. Plus a hidden TOP_K=12 retrieval bug copied from tutorials and how to judge retrieval quality by score gap.
Simulating Connection Pool Starvation in Async Architectures: Queueing Delay and Leaks
Build a connection pool starvation simulator with Python asyncio.Semaphore to quantify queueing delay, acquire timeouts, and connection leaks. Learn to avoid database overload from blindly expanding pool capacity, and master try/finally cleanup and fast-fail principles.
Parsing and Rebuilding EPUB with Python: Practical Lessons from an AI Book Translation Project
Based on the LectuLibre AI book translation project, this article details parsing and rebuilding EPUB files with Python's ebooklib and lxml: namespace pitfalls, text extraction and replacement strategies, batch translation workflows, encoding and corrupted file handling, and the unsolved challenge of preserving inline formatting.
Seal Entropy Before You Refactor: Twenty Identical Runs for a Trustworthy Baseline
Before refactoring a messy repo, seal four entropy sources—clocks, random seeds, UUIDs, and hash order. Run twenty identical runs to verify stability, then record a baseline and make minimal safe changes.
GuardAgent-OS: Securing Autonomous Agents with a Type-Safe Python Architecture
GuardAgent-OS is a Python zero-trust agent security orchestration framework using cryptographically bound NHIs, deterministic pre-execution interception, and outbound DLP to counter prompt injection and data exfiltration, with validation overhead under 5ms and open-source verifiability.
Python 3.15 Sampling Profiler in Practice: Flame Graphs and Source Heatmaps
A deep dive into the Python 3.15 sampling profiler: Simon Willison uses an AI coding assistant to profile the web-edit app, generating interactive flame graphs and source heatmaps that showcase a new Python performance tuning workflow.
Building Lean, Resilient Agent Pipelines in Pure Python
A breakdown of how to build low-overhead, modular agent workflows with pure Python scripts instead of bloated SaaS orchestration platforms. Covers state management, local data parsing, and multi-step execution architecture.
Dense-Armor: A Safety Protection Python Library Built for AI and Robotics
Dense-Armor is a Python safety library for robots and AI systems, offering online learning, anomaly and drift detection, uncertainty estimation, and runtime protection to help developers build safer AI applications.
LangChain or LangGraph? Let create_age…
LangChain or LangGraph? Let create_agent's Return Value Decide
In LangChain 1.4.3, create_agent actually returns a LangGraph graph. Five runnable scripts compare create_agent, StateGraph, and agent-as-node, with selection rules and common error fixes.
AI Python Mentor: Building an AI Programming Learning Platform with FastAPI and RAG
AI Python Mentor is an open-source AI programming platform built with FastAPI, Next.js, and RAG, combining structured courses, coding exercises, and an AI mentor. This article analyzes its architecture, RAG integration, code execution security boundaries, and engineering lessons.
TradeGuard: An Open-Source Tool for Offline Analysis of 8 Account-Blowing Trading Habits
TradeGuard is an offline, zero-dependency trading behavior auditor built in pure Python. It detects 8 account-killing habits like Martingale and revenge trading with exact trade evidence.