January 2015
Intermediate to advanced
274 pages
5h 55m
English
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Chapter 7. Random Recommendations Web Service
The concept behind the project that we will build in this chapter is a simple one: we want users to be able to generate random recommendations for things to do in specific geographical locations based on a predefined set of journey types that we will expose through the API. We will give our project the codename Meander.
Often on projects in the real world, you are responsible for the full stack; somebody else builds the website, a different person still might write the iOS app, and maybe an outsourced company builds the desktop version. On more successful API projects, you might not even know who the consumers of your API are, especially if it's a public API.
In this chapter, we will simulate this reality ...
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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.