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Learning Flask Framework

Learning Flask Framework

4.5 (2)
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Learning Flask Framework

Learning Flask Framework

4.5 (2)

Overview of this book

Flask is a small and powerful web development framework for Python. It does not presume or force a developer to use a particular tool or library. Flask supports extensions that can add application features as if they were implemented in Flask itself. Flask’s main task is to build web applications quickly and with less code. With its lightweight and efficient web development framework, Flask combines rapid development and clean, simple design. This book will take you through the basics of learning how to apply your knowledge of Python to the web. Starting with the creation of a “Hello world” Flask app, you will be introduced to the most common Flask APIs and Flask’s interactive debugger. You will learn how to store and retrieve blog posts from a relational database using an ORM and also to map URLs to views. Furthermore, you will walk through template blocks, inheritance, file uploads, and static assets. You will learn to authenticate users, build log in/log out functionality, and add an administrative dashboard for the blog. Moving on, you will discover how to make Ajax requests from the template and see how the Mock library can simplify testing complex interactions. Finally, you will learn to deploy Flask applications securely and in an automated, repeatable manner, and explore some of the most popular Flask resources on the web.
Table of Contents (12 chapters)
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11
Index

Introducing SQLAlchemy


SQLAlchemy is an extremely powerful library for working with relational databases in Python. Instead of writing SQL queries by hand, we can use normal Python objects to represent database tables and execute queries. There are a number of benefits to this approach, as follows:

  • Your application can be developed entirely in Python.

  • Subtle differences between database engines are abstracted away. This allows you to do things just like a lightweight database, for instance, use SQLite for local development and testing, then switch to the databases designed for high loads (such as PostgreSQL) in production.

  • Database errors are less common because there are now two layers between your application and the database server: the Python interpreter itself (this will catch the obvious syntax errors), and SQLAlchemy, which has well-defined APIs and its own layer of error-checking.

  • Your database code may become more efficient, thanks to SQLAlchemy's unit-of-work model that helps reduce...

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