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 Deployment Explained

Introduction to Deployment Explained

Key Concepts

Deployment

Deployment is the process of making software applications available for use by end-users. It involves moving the application from a development environment to a live environment where it can be accessed by users.

Staging Environment

A staging environment is a near-replica of the production environment where new features and updates are tested before being deployed to the live site. This ensures that any issues are identified and resolved before they affect real users.

Production Environment

The production environment is the live environment where the application is accessible to end-users. It is the final destination for the application after it has been tested and verified in the staging environment.

Continuous Integration/Continuous Deployment (CI/CD)

CI/CD is a set of practices that automate the process of integrating code changes and deploying them to production. Continuous Integration (CI) involves automatically testing code changes as they are made, while Continuous Deployment (CD) automates the deployment process.

# Example CI/CD pipeline using GitHub Actions
name: CI/CD Pipeline

on: [push]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2
    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.x'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        pip install -r requirements.txt
    - name: Run tests
      run: |
        python -m unittest discover
    - name: Deploy to production
      run: |
        # Deployment commands here
    

Web Servers

A web server is software that handles HTTP requests and serves web pages to users. Popular web servers include Apache, Nginx, and Microsoft IIS. Web servers are responsible for serving static content and forwarding dynamic requests to application servers.

Application Servers

An application server is software that hosts and executes business logic and dynamic content. It handles requests from web servers and processes them to generate dynamic responses. Examples include Gunicorn and uWSGI for Python applications.

# Example of running a Flask application with Gunicorn
gunicorn -w 4 myapp:app
    

Load Balancers

A load balancer distributes incoming network traffic across multiple servers to ensure no single server is overwhelmed. This improves performance and reliability. Load balancers can be hardware-based or software-based, such as Nginx or HAProxy.

Domain Name System (DNS)

DNS is a system that translates human-readable domain names (like www.example.com) into IP addresses (like 192.0.2.1). DNS is essential for routing user requests to the correct server.

SSL/TLS Certificates

SSL/TLS certificates are used to secure communications over the internet by encrypting data between the client and server. They are essential for protecting sensitive information like passwords and credit card numbers. Certificates are issued by Certificate Authorities (CAs).

# Example of configuring SSL/TLS in Nginx
server {
    listen 443 ssl;
    server_name www.example.com;

    ssl_certificate /etc/nginx/ssl/example.com.crt;
    ssl_certificate_key /etc/nginx/ssl/example.com.key;

    location / {
        proxy_pass http://localhost:8000;
    }
}