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Python 101: Command Query Separation (CQS)
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Command Query Separation (CQS): A Deep Dive for Developers 命令查询分离 (CQS)：开发者深入探讨 Introduction Command Query Separation (CQS) is a vital design principle in software development, particularly in object-oriented programming. It was introduced by Bertrand Meyer and promotes a clear separation between methods that alter an object’s state and those that simply…
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JavaScript 101: Mastering JavaScript Data Grouping with `groupBy`: A Deep Dive
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Mastering JavaScript Data Grouping with groupBy: A Deep Dive Grouping data is a common task in many programming scenarios, especially when handling large datasets. Whether you’re organizing products by category, people by age, or events by date, the ability to efficiently group data can make your code cleaner and more…
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50 JavaScript interview questions with answers
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Here are 50 JavaScript interview questions with answers 1. What is the difference between var, let, and const in JavaScript? English: var has function scope and is hoisted, meaning it can be used before its declaration but can lead to bugs. let and const have block scope. let allows reassignment,…
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50 C# interview questions
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Here are 50 C# interview questions with answers 1. What is the difference between const, readonly, and static in C#? English: const defines a constant value that must be assigned at compile-time and cannot be changed. readonly allows a value to be assigned either at declaration or in a constructor…
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50 Python Interview Questions
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Here are 50 Python interview questions with answers 1. What are Python decorators and how do they work? English: Python decorators are a way to modify or extend the behavior of functions or methods. They are often used for logging, access control, instrumentation, caching, etc. A decorator is a function…
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Python 101: What are Python Decorators and How Do They Work?
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What are Python Decorators and How Do They Work? English Explanation: Python decorators are a powerful tool to modify or extend the behavior of functions or methods. They are often used in scenarios such as: Logging: Automatically log calls to functions. Access Control: Restrict access to certain functions based on…
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LeetCode: 695 Max Area of Island
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You are given an m x n binary matrix grid representing a map of ‘1’s (land) and ‘0’s (water). An island is a group of 1s (representing land) connected 4-directionally (horizontal or vertical). You may assume all four edges of the grid are surrounded by water. The area of an…
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LeetCode: 733 Flood Fill
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An image is represented by an m x n integer grid image where image[i][j] represents the pixel value of the image. You are also given three integers sr, sc, and color. You should perform a "flood fill" on the image starting from the pixel image[sr][sc]. To perform a "flood fill",…
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LeetCode: 130 Surrounded Regions
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Given an m x n matrix board containing 'X' and 'O', capture all regions surrounded by 'X'. A region is captured by flipping all 'O's into 'X's in that surrounded region. Example: Input: board = [ ["X","X","X","X"], ["X","O","O","X"], ["X","X","O","X"], ["X","O","X","X"] ] Output: [ ["X","X","X","X"], ["X","X","X","X"], ["X","X","X","X"], ["X","O","X","X"] ] Explanation: Surrounded…
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LeetCode: 200 Number of Islands
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Given an m x n 2D binary grid grid which represents a map of ‘1’s (land) and ‘0’s (water), return the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are…