![]() ![]() Keywords in SQL are case-insensitive - so CREATE = Create = create. (column_one TEXT, column_two TEXT, column_three TEXT) The basic SQL command you use for doing this is as follows: CREATE TABLE table_name Once the database file has been created, you need to add a table to be able to work with it. ![]() If the file does not exist, the sqlite3 module will create an empty database. Now it is time for you to create a database! Here is how you would create a SQLite database with Python: import sqlite3įirst, you import sqlite3 and then you use the connect() function, which takes the path to the database file as an argument. If you want to read more about how Python data types translate to SQLite data types and vice-versa, see the following link: These are the data types that you can store in this type of database. SQLite supports the following types of data: However, you will learn enough in this article to also load and interact with a pre-existing database if you want to. For the purposes of this article, you will create a database. To start working with a database, you need to either connect to a pre-existing one or create a new one. You can read the documentation for the sqlite3 library here: This means that you won't have to install anything extra in order to work through this article. The Python standard library already comes with a sqlite3 library built-in, which is what you will be using. There are 3rd party SQL connector packages to help you connect your Python code to all major databases. Let's start learning about how to use Python with a database now! Creating a SQLite Database ![]() ![]() In this article, you will learn about the following: This allows you to focus on the essentials of what a database is and how it functions, while avoiding the danger of getting lost in installation and setup details. You won't need to do any configuration or additional installation. The reason you will use SQLite is that it is a file-based database system that is included with Python. For the purposes of this article, you will focus on a very simple one known as SQLite. Popular database software includes Microsoft SQL Server, PostgreSQL, and MySQL, among others. Most database software require you to install complex software on your local machine or on a server you have access to. Databases hold data in a tabular format, which means that they have labeled columns and rows of data. The typical solution for this type of situation is to use a database. More often than not, the data that you work with will need to be available to multiple developers as well as multiple users at once. Deleting data from a Python program: guides you on how to delete one or more rows in a table from a table using Python sqlite3 module API.Software developers have to work with data.Selecting data: this tutorial shows you how to query data in an SQLite database from a Python program.Updating data in the SQLite database using Python: learns how to update existing data in the SQLite database using Python.Inserting data into the SQLite database in Python: walks you through the steps of inserting data into a table in SQLite database using Python.Create tables in SQLite database using Python: shows you step by step how to create tables in an SQLite database from a Python program.Creating an SQLite database from a Python program: shows you how to create a new SQLite database from a Python program using the sqlite3 module.We will use the PySQLite wrapper to demonstrate how to work with the SQLite database library using Python. It even allows you to write a virtual table implementation using Python. The APSW is designed to mimic the native SQLite C, therefore, whatever you can do in SQLite C API, you can do it also from Python.īesides covering the SQLite library, the APSW provides many low-level features including the ability to create user-defined aggregate, function, and collations from Python. The APSW provides the thinnest layer over the SQLite database library. If your application needs to support only the SQLite database, you should use the APSW module, which is known as Another Python SQLite Wrapper. PySQLite is a part of the Python standard library since Python version 2.5 APSW The PySQLite provides a standardized Python DBI API 2.0 compliant interface to the SQLite database. If your application needs to support not only the SQLite database but also other databases such as MySQL, PostgreSQL, and Oracle, the PySQLite is a good choice. Each interface targets a set of different needs. Python provides two popular interfaces for working with the SQLite database library: PySQLite and APSW. This section shows you step by step how to work with the SQLite database using Python programming language. ![]()
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