Learn SQL with MySQL: Retrieve and Manipulate Data Using SQL Commands with Ease
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About this ebook
The last part explores the DDL and DMLs in depth. We also learn the concepts of Transactions and Constraints. The book explores how we can run the SQL queries from a Python 3 program and load a pandas DataFrame with the data from a table in a schema in the MySQL database.
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Book preview
Learn SQL with MySQL - Ashwin Pajankar
CHAPTER 1
Introduction and Installation
Irecommend all the readers to read the preface and the table of contents. It has a lot of information about what we can expect in the book. So, if you have not read it, I recommend going through it line by line.
In this chapter, we are going to start the exciting journey of learning SQL with widely used and adopted open-source database software MySQL and MariaDB. We will also have a look at a few essential concepts that are important before we start hands-on. Finally, we will learn in detail how to install MySQL and MariaDB on major OS platforms. So, let us start an incredible journey of learning SQL with MySQL and MariaDB.
Structure
We will learn the following topics in this chapter:
Basic concepts related to Databases, DBMS, and SQL
Hands-on with SQL using Tryit Online SQL Editor.
MySQL and its installation on Windows
MariaDB and installation on Windows and Linux
Objective
The objective of this chapter is to make the readers comfortable with the basic concepts related to the topic of the Database. Also, the readers will be able to install the MySQL and MariaDB on the different Operating Systems. Readers will also learn to use an online SQL Editor, the Tryit Online SQL Editor. All the software that we learn to install in this chapter will be used throughout the rest of the book.
Databases, DBMS, and SQL
A database is data collected and stored in an organized form. It can be stored, accessed, and processed in electronic format or in the paper-format too. Before the advent of computers, people and organizations used to store records in tabular forms in books and papers. These were precursors to modern relational database systems. Today, in the 21st century, we store and process almost all the databases in the electronic