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Information professionals who work in higher education institutions encounter a number of problems while managing data and addressing the needs of those who use their electronic libraries. This tutorial shows you how tools available via the Intellexer API can help address those challenges.
Omnipay is a PHP processing library that supports 26 reputable payment gateways, including PayPal and Stripe. This article shows you Omnipay's capabilities by verifying a customer's credit card information and then uses the SDK for making a payment through a Stripe payment gateway.
This is the first part of our series How to Add Postcode-Based Proximity Search With Open Data. In this article we will explain how to geocode a dataset using open data. By the end of this article, you should be able to take a dataset and add the position of each record to that dataset.
This is the second part of our series How to Add Postcode-Based Proximity Search With Open Data. In this article we’ll explain three ways to geocode your data using Open Postcode Geo. We show you how to find the position of each pub in a dataset; and use this dataset to find the nearest pub.
This is the third part of our series How to Add Postcode-Based Proximity Search With Open Data. To find a nearby business, you need to know: nearby what? In this article we show you how to implement the common application of nearest locations to a postcode provided by a user.
This is the fourth part of our series How to Add Postcode-Based Proximity Search With Open Data. In this article we will show you how to take a geocoded dataset and a postcode, and order the dataset by proximity to the postcode. This is used to find the nearest pub to a user specified location.
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