Course Content
Databases in Python
Databases in Python
Data 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.
Thanks for your feedback!