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In this article we will start with a fully RPC API, with almost no other constraints than using the HTTP protocol for data transport, and we will start adding REST constraints through different revisions, trying to understand the trade-offs involved in each small change.
The last couple of years have seen a large number of organizations and developers rush towards getting familiar with Machine Learning fundamentals and coming to grips with what it takes to integrate it into their applications. While you can definitely build out your own Machine Learning platform,
When a browser visits a Web site, the page that's sent back over the Internet is preceded by a pre-amble known as the HTTP header. As it turns out, the same sort of pre-amble precedes a Web API's response. As this 101-level tutorial, shows, it includes a hint about how the API formats its data.
These days many projects rely on cloud based file-sharing tools. These solutions often sport a user friendly interface and offer a huge storage quota, but they are ‘free with limitations’. The lack of control and integration into existing infrastructures can drive organizations towards alternatives.
This tutorial will show you how you can push data into Klipfolio from hundreds of APIs, using the Google Analytics Core Reporting API as an example. The best way to follow along with this tutorial is if you have both Google Analytics and Klipfolio accounts.
We are currently at an intersection where the devices that we will work with will not necessary have an interface or buttons to click. One of the natural ways that we can interact with these devices is via voice. And one of the winners in the consumer device market in this segment is the Amazon
ParseHub, a web scraping tool,can be used in combination with textual analysis tools to collect complex and valuable data from social media sites like twitter.com. I used the sentiment analysis tool fromtext-processing.comto analyze the tone of 27,000 tweets, scraped with ParseHub. I used this
Even the most modern responsive websites often struggle with selecting image resolutions that best match the various user devices. They typically have to compromise on either the image dimensions, number of images created, or even worse, just simply use a single image with the largest resolution.
Using the open source CareKit framework, developers can create apps that help users monitor and manage medical conditions and their overall health, and then share that data with healthcare pros. Here we run through the CareKit modules and how the pieces fit together, using sample Swift code.
When developing a location-based application, displaying the most relevant information is the key to success. Countrywide.co.uk managed to increase their conversions by up to 300 percent when delivering points of interest by travel time. In this article, we’ll explain how to search and display
In this article we take a look at the features of LocationKit, a replacement library for iOS’ CLLocationManager and Android’s LocationManager. We explain how LocationKit can benefit location-aware mobile apps, and take you through the process of setting up and using LocationKit in your own app.
Checking medical symptoms on the internet has gained in popularity. Everybody wants to find out the potential disease underlying a health condition. For this reason, an increasing number of health websites are providing a symptom checker for their users.
According to Gartner, there will be nearly 21 billion devices connected to the Internet by the year 2020. That’s a lot of devices that need to be connected in useful ways. This article shows you the steps to make a Raspberry Pi speak from anywhere in the world using Node.js and PubNub.
Maps are powerful tools that can be used in a variety of situations, from visualizing where customers live, to defining sales territories, to plotting crime patterns in neighborhoods. The first step in creating a map is to convert street addresses to latitude and longitude coordinates through a
Google has opened their Cloud Vision API. When backed by their Machine Vision infrastructure, this API enables developer to give their applications vision capability. This article gives a high level overview of the API and a short tutorial for building an application that uses Google Cloud Vision.
To assure continuous delivery of stable and reliable API services, developers and testers often face many practical challenges. There are many other tools to help with these issues, like SoapUI or Postman. In this article we will look at how HttpMaster can help developers solve these problems.
Code signing is one of those frustrating chores that iOS developers inevitably have to deal with--whether it’s creating provisioning profiles or managing development or production certificates or certificates for push notification. It’s tedious, frustrating and convoluted, but it doesn't have to be.
Tesla is considered the geekster’s car of cars, with the vision of creating an all-electric powered vehicle without compromising on performance. Of course, developers are eager to create some funky apps that will make the expensive Tesla vehicles even more connected via APIs.
Analytics tools can provide the deep in-app insight that developers need in order to build, grow and monetize a successful app. This insight includes measuring performance, growing your audience and improving user experience. This article looks at how analytics tools can help you build your app.
DHC by Restlet is an API testing tool that works from within a Web browser as a Chrome Web app. DHC is integrated with Restlet’s suite of cloud-based API development, design, and deployment tools. This article gives a step by step tutorial for installing the tool and reviews its basic functionality.