Databases in Python

Databases in Python

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1. Introduction to SQLite

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.

What is SQLite3 Library?

Connecting to Database

Creating a Simple Table

Challenge: First Table

2. CRUD

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.

Creation Operations

Read Operations

Update Operations

Delete Operations

3. More About SQLite

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.

Challenge: Table Design

4. SQLAlchemy

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.

Object–Relational Mapping

Getting Started with SQLAlchemy

Creating Your First Model

Building SQLAlchemy Objects

Reading from DB

Deleting from DB

Conteúdo do Curso

Databases in Python

Databases in Python

Getting Started with SQLAlchemy

SQLAlchemy is a powerful library for database interaction in Python, and getting started with it is straightforward. To use it effectively, you'll first need to set up a connection to your database, define a model representing a table, and then use that model to interact with your data.

1. Install SQLAlchemy

Before getting started, you need to install the SQLAlchemy library. Use the following command for this:

On our platform, the library is already installed, so you can proceed to the next step.

2. Set Up a Database Connection

SQLAlchemy requires an engine to connect to the database. The engine manages the database connection and executes SQL queries. Here's an example using SQLite:

3. Define a Base Class

In SQLAlchemy, the base class acts like a starting point for creating your database models. It gives you the tools you need to describe what your database tables will look like. Think of it as the foundation for building your table blueprints.

After completing these steps, you can proceed to creating models (database tables).

1. In SQLAlchemy, what is a model?

2. Which command is used to install SQLAlchemy?

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Seção 4. Capítulo 2

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