RegexMate vs. Learn SQL for MySQL Utilizzo e statistiche

RegexMate is a beautifully designed regex app. With a clean and intuitive interface, it empowers you to craft and test regular expressions with ease. ———————————— ◈ Features ◈ ———————————— 1. Minimalist UI: Forget buttons and menus. Simply type your pattern, test your expression, and see the results instantly. 2. Reference Table: An always-available reference guide with example tutorials in both English and Chinese. Never forget regex syntax again! 3. Live Preview: See your results update as you type. Input your pattern and watch the results, modify and test your expression to check its validity. 4. Expression Library: Save your frequently used expressions for quick access and reference at any time. 5. Light & Dark Mode: Love the dark aesthetic? RegexMate has you covered. But if you're craving a fresh look, switch to Light mode anytime. ——————————————————————————— ◈ Policies & Terms ◈ ——————————————————————————— For our privacy policy, please visit: https://wangchujiang.com/regex-mate/privacy-policy.html For our terms of service, please visit: https://wangchujiang.com/regex-mate/terms-of-service.html ——————————————————————————— ◈ Contact Me ◈ ——————————————————————————— If you have any questions or concerns, please contact us at: kennyiseeyou@gmail.com

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Learn SQL for MySQL

Will you start learning SQL in MySQL? Did you forget the statements many times? Do you no longer remember the syntax and the result of an statement? Developed to easily learn SQL Programming for MySQL . . . . . . . . . . . . . . . . . . . . . This App acts as a reference for the SQL language Learn DML & DDL statements with description, syntax, notes and examples For each statement is presented: Detailed description of the statement/command purpose Syntax of the statement with various options Two examples executed from a real table (Automobile Table) Provides: . . . . . . . . . . . . . . . . . . . . . 1. GENERAL 1.1 - Comments 1.2 - Data Types 2. (DML) Data Manipulation Language 2.1 – SELECT - Columns, Multi-Column, All Columns - Expressions, Functions, Alias - Limit, Distinct, Order By - Where - Relational, Math & String Operators - Wildcards - Group By, Having, Aggregate Functions - Union (Any & All) - Subqueries - Joins (Inner, Right, Left) - Select Into 2.2 - INSERT - With Columns names - Without Column names - Rules - Insert Into ... Select 2.3 - DELETE - Delete All Rows - Delete ... Where - Rules - Referencial Integrity 2.4 - UPDATE - Update All Rows - Update ... Where - Rules 3. (DDL) DATA DEFINITION LANGUAGE 3.1 - CREATE - Create Database - Create Table - Create Index - Auto-Increment - Constraints (PK, FK, CK, DF, UQ, NN) 3.2 - ALTER - Alter Columns - Add Constraints - Drop Constrains 3.3 - DROP - Drop Table - Drop Database - Drop Index 3.4 - TUNCATE - Delete Versus Truncate