April 2016
Intermediate to advanced
170 pages
3h 48m
English
Content preview from Distributed Computing with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Installing Celery
Celery (http://www.celeryproject.org) is the first third-party library that we encounter in this book, since so far, we have only looked at modules and packages in the Python standard library. Celery is a distributed task queue, meaning that it is a queue-based system like some of the ones that we built in the previous chapters. It is also distributed, which means that worker processes, as well as the queues holding results and work requests, typically run on different machines.
Let's start by installing Celery and its dependencies. We start by setting up a virtual environment on each machine (let's call it book so that we know it is related to the examples in this book), as shown in the following line of code (assuming a Unix ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.