Viewing posts for the category Programming
Machines have been "seeing" for decades. Early uses of machine vision included a wide range of applications, from medical imaging to checking products for defects. More recent work has focused on improving image recognition: looking at a picture and (somehow) determining what it might be a picture of. Uses range from tagging and cataloging images for retrieval, to determining whether images violate Terms of Service.
On March 22nd, for two and a half hours, programmers discovered that they couldn't build or install some of their code written in JavaScript. Widely used software such as Node (used by LinkedIn and PayPal) and Babel crashed along with many individual projects. Those of us who didn't discover the crashes in our own projects learned about it from this article. Business people may now be asking, “How could the actions of just a few people break the internet? Do I have to worry about this happening with my software?”
Software developers can do a wide variety of tasks, from fixing problems, to adding features, to building entirely new systems. You can save developers' time - and your money – by clearly describing what you would like them to change.
Agile methodology has been around for a while and has proven its worth in various situations. That being said, there have been instances in which it hasn’t been as successful. This has lead to people questioning the suitability of agile and more specifically, its manifesto. As a result, a call has gone out to revise the values and principles on which agile is based.
With multiple environments available for use, how does one choose? What it comes down to is specific functionality. One such environment that has risen in prominence is Node.js. While JavaScript hasn’t been popular in the past, people have come to recognize its worth and well as what can be done with its offerings. Let’s take an introductory look into Node.js including its benefits and drawbacks as well as well as why it’s useful.