November 2022
Intermediate to advanced
266 pages
6h 14m
English
Content preview from Scaling Python with Ray
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Preface
We wrote this book for developers and data scientists looking to build and scale applications in Python without becoming systems administrators. We expect this book to be most beneficial for individuals and teams dealing with the growing complexity and scale of problems moving from single-threaded solutions to multithreaded, all the way to distributed computing.
While you can use Ray from Java, this book is in Python, and we assume a general familiarity with the Python ecosystem. If you are not familiar with Python, excellent O’Reilly titles include Learning Python by Mark Lutz and Python for Data Analysis by Wes McKinney.
Serverless is a bit of a buzzword, and despite its name, the serverless model does involve rather a lot of servers, but the idea is you don’t have to manage them explicitly. For many developers and data scientists, the promise of having things magically scale without worrying about the servers’ details is quite appealing. On the other hand, if you enjoy getting into the nitty-gritty of your servers, deployment mechanisms, and load balancers, this is probably not the book for you—but hopefully, you will recommend this to your colleagues.
What You Will Learn
In reading this book, you will learn how to use your existing Python skills to enable programs to scale beyond a single machine. You will learn about techniques for distributed computing, from remote procedure calls to actors, and all the way to distributed datasets and machine learning. We wrap ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.