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**.

"Databases in Python" is a hands-on course designed to teach you the fundamentals of working with databases using Python, focusing on the sqlite3 library and SQLAlchemy. You’ll learn how to store, modify, and retrieve data, build efficient queries, and configure databases for your projects. The course covers both SQL basics and the ORM (Object-Relational Mapping) approach, which allows you to interact with databases through Python objects. This course is perfect for beginners looking to deepen their skills in data management, application development, and information handling.

Whether you're new to databases or want to master SQLite, this course will teach you the essentials. You'll learn data management, and how to use SQLite effectively.

CRUD (Create, Read, Update, Delete) are the foundational operations in working with databases. This section is your gateway to mastering these core database functions.

In the "CRUD Operations" section, we will delve into creating, retrieving, updating, and deleting data in a database. You will gain the skills needed to interact with databases effectively, making it an essential tool for your software development journey.

Congratulations on reaching the final section of this course! You've come a long way in your journey to learn and master the content covered.

In this concluding section, we'll summarize key takeaways, reinforce your knowledge, and provide guidance on what you can do next. You've acquired valuable skills and insights, and now it's time to reflect on your achievements and explore how to apply your newfound knowledge effectively.



Learn how to interact with databases in Python using SQLAlchemy, a powerful Object-Relational Mapping (ORM) tool. This section covers setting up connections, defining models, and performing essential CRUD operations (Create, Read, Update, Delete). You'll discover how to write cleaner, more efficient code without relying on raw SQL queries. Mastering SQLAlchemy will streamline database management and enhance the scalability of your Python applications.

Databases in Python

Data Types

Match the variable names with the data they usually hold.