Flask Training , study and exam guide
1 Introduction to Flask
1.1 What is Flask?
1.2 History and Evolution of Flask
1.3 Flask vs Django
1.4 Setting Up the Development Environment
2 Flask Basics
2.1 Installing Flask
2.2 Creating Your First Flask Application
2.3 Understanding the Flask Application Structure
2.4 Routing in Flask
2.5 Variable Rules in Routing
2.6 HTTP Methods (GET, POST, PUT, DELETE)
3 Templates and Static Files
3.1 Introduction to Jinja2 Templates
3.2 Rendering Templates
3.3 Template Inheritance
3.4 Static Files (CSS, JavaScript, Images)
3.5 Using Bootstrap with Flask
4 Forms and User Input
4.1 Introduction to Flask-WTF
4.2 Creating Forms with Flask-WTF
4.3 Validating User Input
4.4 Handling File Uploads
4.5 Flash Messages
5 Databases with Flask
5.1 Introduction to SQLAlchemy
5.2 Setting Up a Database
5.3 Defining Models
5.4 CRUD Operations with SQLAlchemy
5.5 Relationships in SQLAlchemy
5.6 Migrations with Flask-Migrate
6 Authentication and Authorization
6.1 Introduction to Flask-Login
6.2 User Authentication
6.3 Protecting Routes with Login Required
6.4 User Roles and Permissions
6.5 Password Hashing with Werkzeug
7 RESTful APIs with Flask
7.1 Introduction to RESTful APIs
7.2 Creating a RESTful API with Flask
7.3 Serializing and Deserializing Data
7.4 Handling API Errors
7.5 Authentication for APIs
8 Testing Flask Applications
8.1 Introduction to Unit Testing
8.2 Writing Tests with Flask-Testing
8.3 Testing Routes and Views
8.4 Testing Database Interactions
8.5 Continuous Integration with Flask
9 Deployment and Scaling
9.1 Introduction to Deployment
9.2 Deploying Flask Applications on Heroku
9.3 Deploying Flask Applications on AWS
9.4 Scaling Flask Applications
9.5 Load Balancing and Caching
10 Advanced Topics
10.1 Background Tasks with Celery
10.2 WebSockets with Flask-SocketIO
10.3 Internationalization and Localization
10.4 Custom Error Pages
10.5 Extending Flask with Blueprints
11 Exam Preparation
11.1 Review of Key Concepts
11.2 Practice Questions
11.3 Mock Exams
11.4 Tips for the Exam Day
Introduction to SQLAlchemy

Introduction to SQLAlchemy

Key Concepts

ORM (Object-Relational Mapping)

ORM is a technique that allows you to interact with a database using objects and classes in your programming language, rather than writing raw SQL queries. SQLAlchemy is a popular ORM for Python that provides a high-level interface to interact with databases.

SQLAlchemy Core

SQLAlchemy Core is the foundation of SQLAlchemy, providing a set of tools for working with databases at a lower level. It includes components like SQL expression language, schema definition, and connection pooling. Core allows you to construct and execute SQL queries programmatically.

from sqlalchemy import create_engine, text

engine = create_engine('sqlite:///example.db')
with engine.connect() as connection:
    result = connection.execute(text("SELECT * FROM users"))
    for row in result:
        print(row)
    

SQLAlchemy ORM

SQLAlchemy ORM builds on top of SQLAlchemy Core, providing a higher-level abstraction for working with databases. It allows you to define database tables as Python classes and map them to database tables. The ORM handles the conversion between Python objects and database records.

from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Base = declarative_base()

class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    age = Column(Integer)

engine = create_engine('sqlite:///example.db')
Session = sessionmaker(bind=engine)
session = Session()

new_user = User(name='John Doe', age=30)
session.add(new_user)
session.commit()
    

Declarative System

The declarative system in SQLAlchemy allows you to define database tables and their corresponding Python classes in a single step. This system simplifies the process of creating and managing database models by combining table definition and class definition.

from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()

class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    name = Column(String)
    age = Column(Integer)
    

Session Management

Session management in SQLAlchemy ORM is crucial for interacting with the database. A session object acts as a "workspace" for your objects, allowing you to add, update, and delete records. Sessions are created using the sessionmaker function and are typically used within a context manager.

from sqlalchemy.orm import sessionmaker

Session = sessionmaker(bind=engine)
session = Session()

user = session.query(User).filter_by(name='John Doe').first()
user.age = 31
session.commit()