![]() 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. We take that statement, that now includes a WHERE, and we exec() it to get the results.Software developers have to work with data. exec ( statement ) for hero in results : print ( hero ) def main (): create_db_and_tables () create_heroes () select_heroes () if _name_ = "_main_" : main () commit () def select_heroes (): with Session ( engine ) as session : statement = select ( Hero ). ![]() create_all ( engine ) def create_heroes (): hero_1 = Hero ( name = "Deadpond", secret_name = "Dive Wilson" ) hero_2 = Hero ( name = "Spider-Boy", secret_name = "Pedro Parqueador" ) hero_3 = Hero ( name = "Rusty-Man", secret_name = "Tommy Sharp", age = 48 ) with Session ( engine ) as session : session. Test Applications with FastAPI and SQLModelĪlternatives, Inspiration and Comparisonsįrom typing import Optional from sqlmodel import Field, Session, SQLModel, create_engine, select class Hero ( SQLModel, table = True ): id : Optional = Field ( default = None, primary_key = True ) name : str secret_name : str age : Optional = None sqlite_file_name = "database.db" sqlite_url = f "sqlite:/// " engine = create_engine ( sqlite_url, echo = True ) def create_db_and_tables (): SQLModel. Read Heroes with Limit and Offset with FastAPIįastAPI Path Operations for Teams - Other Models Update and Remove Many-to-Many Relationships where() With Multiple Expressions Using ORĬreate Data with Many-to-Many Relationships ![]() where() and Expressions Instead of Keyword Arguments Model Class Attributes, Expressions, and Instances Create a Table with SQLModel - Use the EngineĪutomatic IDs, None Defaults, and Refreshing Data ![]()
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