How Virtual DOM works and its performance optimization mechanisms

Virtual DOM working principle and performance optimization I. Introducing the Concept The Virtual DOM is a lightweight, in-memory abstraction of the DOM tree maintained by React . Essentially, it’s a JavaScript object simulation of the real DOM, containing core information such as the DOM’s structure, attributes, and content. It acts as an “in-memory DOM proxy,” allowing React … Read more

In-depth analysis of Vue performance optimization and the `created` lifecycle hook.

I. Core Positioning: The “Golden Initialization Time” in the Component Lifecycle created The hook is invoked synchronously after a Vue component instance has been fully created. You can think of it as the crucial moment when the component’s “body” has been constructed but not yet “mounted” to the DOM . created It occurs after reactive data initialization and before the … Read more

Git Basic Operation Guide

I. What is Git? 1.1 The Birth and Concept of Git Git is a distributed version control system (DVCS) developed by Linus Torvalds, the creator of Linux, in 2005, initially for managing the Linux kernel code. Unlike traditional centralized version control systems (such as SVN), Git uses a distributed architecture, where each developer has a … Read more

Exclude redundant directories such as node_modules in VSCode

VSCode Search Speed-Up Guide Chapter 1: Project Search Too Slow? One Trick to Solve VSCode Global Search Performance Bottleneck In large projects, VS Code’s global search (Ctrl+Shift+F) often becomes slow due to scanning too many files. However, with proper configuration  search.exclude settings, search performance can be significantly improved, avoiding traversal of unnecessary directories. Optimize search scope VS … Read more

Paper Reading Notes – Data Enhancement

First. Core idea: What is data augmentation? In summary, data augmentation is the process of artificially creating more and diverse new data from existing training data through a series of technical means. A simple analogy: Your model is like a student, and the training data is its exercise book. Scenario 1 (No Data Enhancement): The … Read more