There’s a pattern that can be observed from digital agencies around the world. Many of these agencies are creating a new breed of products referred to as “digital shops”. A digital shop usually sprung from a service delivered by the agency on a regular basis, or via a partnership with third party specialists, or simply by cultivating an idea and inspiration.
Node.js (Node) has gained a lot of popularity in these couple of years. More and more programmers are showing great interest in the technology. In this article, I’m going to write about the very basic requirements you need to start creating your very own Node powered web applications.
So these couple of days I’ve been trying out ElasticSearch, a distributed restful search and analytics software. We’re currently researching various technologies on a prototype that will use ElasticSearch and will be developed using Python. In this post we’ll discuss about my experience on using the Python ElasticSearch Client library.
You ned to download and run ElasticSearch before trying these scripts. The Python library uses Python 2.7, so make sure your Python version is correct.
Vacancy information. See the details after the jump.
Technology had been replacing human workforce since the dawn of the Industrial Revolution. But for the most part of the last 2 centuries, it is limited in replacing mankind’s physical labor. Latest advances has shown that in the future, technology could, and shall replace our judgment and interaction expertise as well.
Technologists and visionaries are starting to see the impact big data and robotics will make for future healthcare. I personally believe that in the future, doctors would act as a supervisors, overseeing the analysis of data servers and the movements of delicate robotic arms. Vinod Khosla said that in the future, 80% of doctors will be replaced by technology. I think he has a very valid point.
On the previous article, I’ve wrote on how you can create a music player and spectrum analyzers using
canvas API’s. In this article, I’ll be using the same methods to retrieve a sound’s frequency array using
webkitAudioContext, but here I’m going to use Raphael.js to draw the spectrums.
In this article I’m going to talk about pixi.js, a “Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback“. According to its Github page, pixi.js is aimed to be a fast lightweight 2D library that works across all devices. Its fast renderer would allow everyone to enjoy the power of hardware acceleration without prior knowledge of webGL.
Healthcare is a very big industry. In the United States, healthcare industry contributed to 1/6th of its economy, numbering in a staggering US$ 2.8 trillion. Shahid Shah, CEO of Maryland-based IT consultant Netspective, said : “Nothing you do is going to disrupt healthcare.” Even $1 billion in improvement is not disruptive to that, he said.
Adding a dynamic spectrum analyzer to a music player can really improve its UX value. In this article, I’m going to explain on how to add a spectrum analyzer using
canvas, and the
audio API. This article is made possible by the example from Github user idbehold. Check out the more intermediate example at the labs.