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Data Types | SQLAlchemy
Databases in Python
course content

Course Content

Databases in Python

Databases in Python

1. Introduction to SQLite
2. CRUD
3. More About SQLite
4. SQLAlchemy

bookData Types

In SQLAlchemy, each column in a database table must have a data type that matches the data it stores. These types ensure proper storage and operations on the data. Below are the most commonly used data types when creating models.

Selecting the right data type for each column ensures optimal database performance and simplifies application development. SQLAlchemy makes it easy to define these types and add constraints like nullable, unique, or default to enhance the model’s functionality.

When choosing a data type for a column in SQLAlchemy, consider the nature and precision of the data. Use Integer for whole numbers, String for short text, and Text for longer entries. Opt for Float or Decimal when handling precise numeric values, such as in financial calculations. For binary true/false values, Boolean is the best choice. Selecting the correct type ensures your database remains efficient, accurate, and easy to maintain.

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Match the variable names with the data they usually hold.

id
name

description

price

Click or drag`n`drop items and fill in the blanks

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Section 4. Chapter 4
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