Learn SQL for MySQL vs Python Recipes Pro

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

An everyday Python reference, from strings and collections to threading and design patterns. Every example comes with an explanation, and most of them run. The construct is on the tip of your tongue, but the exact syntax slips away: • How do you sort a dictionary by value? • How do you serialize a class to JSON and read it back? • How do you start a thread and wait for the result? The app answers with a working example; all that is left is to fit it to your task. • 22 sections: basic types, arrays and collections, classes, files, serialization, functions and lambdas, exceptions, regular expressions, threading, databases, algorithms, design patterns. • Run in the app: the example actually runs and the output appears under the code. Needs an internet connection; the daily limit is 30 runs. • What changed in new versions: 8 sections from Python 3.0 to 3.13, with the old and the new code side by side. • Keyword and function reference: over 200 articles, browsable as a list or searchable by word. • SQL alongside: over 200 queries against a live practice database (JOIN, GROUP BY, subqueries, data types). Queries have their own daily limit. • Edit examples and add your own; they stay in the app and are always at hand. • Search looks inside the code itself, not just the titles: remember a fragment and you will find the example. • Everything except running works offline: examples, search, favorites. • Comfortable to read: light and dark themes, your own font and size, line numbers, and long lines wrap instead of spilling off the screen. Examples are drawn from professional sources and verified by running them. Built by a developer for developers. In active development since 2015.