API evangelists such as Kin Lane and companies like 3scale promote the open use of application development interfaces so that professionals can anticipate and solve errors that in the future could ruin investments in the Internet of Things (IoT).
We talk to Francesc Alted, developer and consultant specializing in high-yield storage, after his participation in the PyData event.
Any editorial project needs a decent CMS (Content Management System) so that editors can organize and publish entries easily. There are several CMS developed in Ruby (language) and Rails (framework). They are the best ones.
PredictionIO, AT&T Speech, Wit.ai or Diffbot are four practical examples that prove that it is possible to emerge, grow and do business with machine learning and natural language recognition without the need for a big company's help.
The Mountain View giant has renewed its API console so developers can improve their experience and check the data faster.
Application development interfaces for Java, JavaScript, C, C++, PHP, HTML, Ruby, Python, Scala, Go... There are endless examples of syntax and tools such as editors, development frameworks and libraries which are difficult to harness if you don't have a browser to sort their use.
Google has presented its cloud machine learning tool to help developers create applications faster and more easily.
There are often situations that occur within companies that escape the knowledge of the management teams. Automatic learning APIs detect anomalies and help to solve problems. Here are a few examples.
Docker's container technology is helping companies complete their digital transformation. Its advantages include the fact that it can be easily adopted and the benefits are evident very quickly.
The launch of the new REST system as a protocol for data exchange and management in Internet services completely revolutionized software development after 2000. Now almost every company or application has a REST API for business creation.
