Installing Sqlalchemy-Utils using Python Pip

In this article, we will explore how to Install Sqlalchemy-Utils Using Pip. To utilize Sqlalchemy-Utils functionalities, it is essential to Install Sqlalchemy-Utils Using Pip and this can be achieved by following the steps outlined below.

What is Sqlalchemy-Utils ?

SQLAlchemy-Utils is a library that provides various utility functions and extensions for SQLAlchemy, which is a popular SQL toolkit and Object-Relational Mapping (ORM) library for Python. SQLAlchemy-Utils extends the functionality of SQLAlchemy by offering additional features and tools to simplify common tasks when working with databases.

Installing Sqlalchemy-Utils Using Pip

Below, we will be able to explain step-by-step on how to Install Sqlalchemy-Utils Using Pip in Python.

Step 1: Install Sqlalchemy-Utils Library

Before using Sqlalchemy-Utils , it is necessary to install the Sqlalchemy-Utils library by executing the following command in the terminal:

pip install Sqlalchemy-Utils 

Output:

Step 2: Show the Version of Sqlalchemy-Utils

Once Sqlalchemy-Utils is installed, you can check the version using below command. This not only makes your code more concise but also follows a widely adopted practice in the Python community.

pip show Sqlalchemy-Utils

Output:

Use Case Example of Sqlalchemy-Utils

Enumerate Priority Levels with SQLAlchemy-Utils

In below code, establishes an SQLite in-memory database and defines a Task model using SQLAlchemy-Utils' ChoiceType to represent enumerated priority levels. The ChoiceType ensures that the 'priority' column can only have values chosen from a predefined set: 'Low', 'Medium', and 'High'. The declarative base class, declarative_base(), is utilized to create the base for the model, and the table is named 'tasks'.

from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy_utils import ChoiceType

engine = create_engine("sqlite:///:memory:")
Base = declarative_base()

class Task(Base):
    __tablename__ = 'tasks'
    id = Column(Integer, primary_key=True)
    name = Column(String, nullable=False)
    priority = Column(ChoiceType(choices={'low': 'Low', 'medium': 'Medium', 'high': 'High'}), nullable=False)

Base.metadata.create_all(engine)

Output: