Visão Geral

O Curso SQLAlchemy Foundation, oferece uma introdução prática e detalhada ao SQLAlchemy, a principal biblioteca de ORM (Object-Relational Mapping) e toolkit de SQL para Python. SQLAlchemy fornece uma interface poderosa para manipulação de bancos de dados relacionais de forma programática, facilitando o mapeamento de classes Python para tabelas do banco de dados. Durante o curso, os participantes aprenderão a usar SQLAlchemy para criar, manipular e consultar bancos de dados de maneira eficiente, usando tanto a abordagem ORM quanto a abordagem Core (SQL Expression Language).

O Curso SQLAlchemy Foundation, fornecerá aos participantes uma base sólida no uso do SQLAlchemy para modelagem, consulta e gerenciamento de bancos de dados relacionais em Python, abordando desde a configuração básica até recursos avançados de otimização e segurança.

4o

Objetivo

Após realizar este Curso SQLAlchemy Foundation, você será capaz de:

1. Compreender a arquitetura e os princípios fundamentais do SQLAlchemy.
2. Criar modelos de banco de dados usando SQLAlchemy ORM.
3. Gerenciar bancos de dados relacionais com SQLAlchemy Core.
4. Realizar consultas e transações com eficiência usando SQLAlchemy.
5. Integrar SQLAlchemy com frameworks web como Flask ou Django.
6. Utilizar boas práticas para modelagem e migração de banco de dados.

Publico Alvo

• Desenvolvedores Python que desejam integrar bancos de dados relacionais aos seus aplicativos.
• Engenheiros de software que buscam uma solução ORM eficiente para gerenciar interações com bancos de dados.
• Administradores de bancos de dados que desejam automatizar operações usando Python e SQLAlchemy.
• Desenvolvedores familiarizados com SQL que desejam explorar o uso de ORM em Python.

Pre-Requisitos

• Conhecimento básico de Python.
• Familiaridade com conceitos de banco de dados relacional e SQL.
• Noções básicas de desenvolvimento web em Python (Flask ou Django) são recomendadas.

Materiais

Conteúdo Programatico

1. Introduction to SQLAlchemy

   • What is SQLAlchemy and why use it?
   • Overview of SQLAlchemy ORM and Core components
   • Installing and configuring SQLAlchemy
   • Basic architecture: Engine, Session, and MetaData

2. SQLAlchemy ORM Basics

   • Introduction to Object-Relational Mapping (ORM)
   • Defining models and tables using SQLAlchemy ORM
   • Mapping Python classes to database tables
   • Creating relationships between models (One-to-One, One-to-Many, Many-to-Many)

3. Querying with ORM

   • Performing basic CRUD (Create, Read, Update, Delete) operations
   • Using the Session to manage transactions
   • Querying data with the Query object
   • Filtering, ordering, and limiting results
   • Handling relationships in queries

4. SQLAlchemy Core (SQL Expression Language)

   • Introduction to SQLAlchemy Core and its use cases
   • Creating tables and columns using SQLAlchemy Core
   • Writing SQL-like queries programmatically
   • Executing raw SQL statements with the Core engine
   • Combining ORM with Core for flexibility

5. Advanced ORM Features

   • Using Mappers and Declarative Base
   • Configuring lazy and eager loading for relationships
   • Working with hybrid attributes and dynamic properties
   • Writing custom query methods and expressions
   • Understanding ORM inheritance and polymorphism

6. Transactions and Session Management

   • Understanding transactions in SQLAlchemy
   • Using Session to manage and control transactions
   • Best practices for session lifecycle management
   • Handling errors and rollback in transactions

7. Database Migrations with Alembic

   • Introduction to database migrations and version control
   • Setting up and configuring Alembic for SQLAlchemy
   • Creating and applying migration scripts
   • Managing schema upgrades and downgrades
   • Automating migrations in development workflows

8. Optimizing Performance in SQLAlchemy

   • Profiling and benchmarking SQL queries in SQLAlchemy
   • Reducing query overhead with lazy and eager loading
   • Caching query results for faster data access
   • Optimizing relationship handling and joins
   • Best practices for large-scale applications with SQLAlchemy

9. Working with Databases

   • Connecting to different databases (PostgreSQL, MySQL, SQLite)
   • Managing multiple databases and schemas
   • Working with connection pools in SQLAlchemy
   • Handling concurrent transactions and locking issues

10. Integrating SQLAlchemy with Flask

    • Setting up SQLAlchemy with Flask applications
    • Using Flask-SQLAlchemy for simplified integration
    • Managing database sessions in Flask
    • Querying and displaying data in Flask templates
    • Real-world example: Building a simple CRUD app with Flask and SQLAlchemy

11. Testing SQLAlchemy Applications

    • Writing unit tests for SQLAlchemy models
    • Using mock databases for testing
    • Best practices for testing queries and transactions
    • Setting up continuous integration for SQLAlchemy applications

12. Security and SQLAlchemy

    • Preventing SQL injection and other database vulnerabilities
    • Securing queries with parameterized statements
    • Managing sensitive data and encryption in databases
    • Integrating SQLAlchemy with user authentication systems

13. Debugging and Troubleshooting SQLAlchemy Applications

    • Common SQLAlchemy errors and how to debug them
    • Using logging and monitoring tools to trace database operations
    • Debugging complex ORM relationships and queries
    • Tools and tips for improving development productivity

14. Best Practices and Real-World Applications

    • Structuring large projects with SQLAlchemy
    • Organizing models, migrations, and sessions effectively
    • Case studies of successful SQLAlchemy applications
    • Lessons learned from real-world projects

15. Final Project: Building a Full-Stack Application with SQLAlchemy

    • Designing the database schema for a complete web application
    • Implementing CRUD operations with SQLAlchemy ORM
    • Managing migrations and database versions with Alembic
    • Integrating the application with Flask and deploying in production