Seasoned Java and mobile developer with years of experience, specializing in mini‑programs, public accounts, and full‑stack front‑end development. In the AI era, I continuously learn to broaden my knowledge and evolve. I revived a public account I started a decade ago during a dessert‑startup venture, using code as a vessel and knowledge as a companion. I share personal projects, technical articles, programming tips, and growth insights—let’s improve together and set sail.
This tutorial walks through fixing common requests‑module errors, selecting a reliable PyPI mirror, formatting URLs correctly, and using built‑in string methods and basic regex to reliably extract IP, keyword and request URL data from HTTP responses, with batch examples and a summary of four common pitfalls.
This tutorial walks you through installing the requests library from reliable mirrors, setting browser-like headers, extracting JSON or raw text data, handling common errors, and performing batch requests to build a quick, functional web scraper in just five minutes.
This tutorial walks you through installing the Python requests library, demonstrates basic GET requests, adding query parameters, handling errors with timeout and exceptions, and highlights four common pitfalls with solutions, enabling you to quickly build simple web‑scraping scripts in just five minutes.
This tutorial reviews three import patterns, demonstrates essential functions of the math, random, and datetime built‑in modules with concrete code examples, combines them in a practical exercise, highlights four common beginner pitfalls with fixes, and provides short post‑lesson tasks.
This guide teaches you what Python modules are, demonstrates three import styles, shows how to install third‑party packages using reliable mirrors, and walks through practical examples—including random score generation and common pitfalls—to help you quickly leverage modules for automation and web scraping.
This tutorial teaches beginners how to define and invoke Python functions, handle parameters and return values, use default arguments, avoid common pitfalls, and apply functions to lists and dictionaries for effective code reuse, all within a short hands‑on session.
This tutorial walks you through the essential operations of Python lists and dictionaries, demonstrates combined usage, highlights four common pitfalls with fixes, and provides quick hands‑on exercises so you can store and manipulate data efficiently in just five minutes.
This short tutorial teaches how to define variables and use Python’s four fundamental data types—strings, integers, floats, and booleans—through concise code examples, common pitfalls, and practice exercises, enabling beginners to store and manipulate data within five minutes.
This guide explains Python's main uses—automation, web scraping, and simple web apps—walks through Windows/macOS installation, shows how to run the first program, lists four common beginner pitfalls with solutions, and summarizes key takeaways for rapid onboarding.
This tutorial walks you through the entire real‑world e‑commerce development process—from requirement analysis and architecture design to page implementation, feature integration, optimization, and multi‑platform publishing (H5, WeChat mini‑program, and native app) with concrete code examples.
