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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

Asynchronous tasks with Celery


Celery is a library that allows you to run asynchronous tasks within Python. This is especially helpful in Python as Python runs single threaded and you may find that you have a long-running task that you wish to either start and discard; or you may wish to give the user of your website some feedback on the progress of the said task.

One such example is e-mail. A user may request an e-mail to be sent, for example a password reset request, and you don't want them waiting for the page to load while the e-mail is generated and sent. We can set this up as a start and discard operation and let the user know that the request is being dealt with.

The way Celery is able to escape the single-threaded environment of Python is that we have to run a Celery broker instance separately which; this creates what Celery calls workers that do the actual work. Your Flask app and the workers then communicate with each other via the messaging broker.

So obviously, we need to install...

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