Mastering Flask Web Development

By : Gaspar, Jack Stouffer

2 (2)

Buy this Book

Mastering Flask Web Development

2 (2)

By: Gaspar, Jack Stouffer

Buy this Book

Overview of this book

Flask is a popular Python framework known for its lightweight and modular design. Mastering Flask Web Development will take you on a complete tour of the Flask environment and teach you how to build a production-ready application. You'll begin by learning about the installation of Flask and basic concepts such as MVC and accessing a database using an ORM. You will learn how to structure your application so that it can scale to any size with the help of Flask Blueprints. You'll then learn how to use Jinja2 templates with a high level of expertise. You will also learn how to develop with SQL or NoSQL databases, and how to develop REST APIs and JWT authentication. Next, you'll move on to build role-based access security and authentication using LDAP, OAuth, OpenID, and database. Also learn how to create asynchronous tasks that can scale to any load using Celery and RabbitMQ or Redis. You will also be introduced to a wide range of Flask extensions to leverage technologies such as cache, localization, and debugging. You will learn how to build your own Flask extensions, how to write tests, and how to get test coverage reports. Finally, you will learn how to deploy your application on Heroku and AWS using various technologies, such as Docker, CloudFormation, and Elastic Beanstalk, and will also learn how to develop Jenkins pipelines to build, test, and deploy applications.

Preface

Who this book is for

What this book covers

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Free Chapter

Getting Started

Version control with Git

Python package management with pip

Dependency sandboxing with virtualenv

Setting up Docker

The beginning of our project

Summary

Creating Models with SQLAlchemy

Setting up SQLAlchemy

Our first model

CRUD

Relationships between models

Constraints and indexing

The convenience of SQLAlchemy sessions

Database migrations with Alembic

Summary

Creating Views with Templates

Jinja's syntax

Creating our views

Flask WTForms

Summary

Creating Controllers with Blueprints

Sessions and globals

Request setup and teardown

Error pages

Class-based views

Blueprints

Summary

Advanced Application Structure

Modular application

Application factories

Summary

Securing Your App

Authentication methods

Flask-Login overview

OpenID

OAuth

Role-based access control (RBAC)

Summary

Using NoSQL with Flask

Types of NoSQL database

RDBMS versus NoSQL

MongoDB in Flask

Leveraging the power of NoSQL

Summary

Building RESTful APIs

What is REST?

Setting up a RESTful Flask API

JWT authentication

Get requests

Post requests

Put requests

Delete requests

Summary

Creating Asynchronous Tasks with Celery

What is Celery?

Setting up Celery and RabbitMQ

Creating tasks in Celery

Running Celery tasks

Monitoring Celery

Creating a reminder app

Creating a weekly digest

Summary

Useful Flask Extensions

Flask CLI

Flask Debug Toolbar

Flask Caching

Flask Assets

Flask Admin

Flask-Babel

Flask Mail

Summary

Building Your Own Extension

Creating a YouTube Flask extension

Modifying the response with Flask extensions

Summary

Testing Flask Apps

What are unit tests?

How does testing work?

Unit testing the application

User interface testing

Test coverage

Test-driven development

Summary

Deploying Flask Apps

Web servers and gateway interfaces

Deploying on Heroku

Deploying on Amazon Web Services

Using Docker

Building and deploying highly available applications readily

Summary

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RDBMS versus NoSQL

NoSQL is a tool, and like any tool there are specific use cases where it excels and there are use cases where some other tool would be a better fit. No one would use a screwdriver to pound in a nail; it's possible, but using a hammer would make the job easier. One large problem with NoSQL databases is that people adopt them when an RDBMS would solve the problem just as well, or better.

To understand which tool should be used when, we must understand the strengths and weaknesses of both systems.

The strengths of RDBMS databases

One of the biggest strengths of RDBMSes is their maturity. The technology behind RDBMSes has existed for over 40 years and is based on the solid theory of relational algebra and...