This is a long overdue article, but I’ve finally been able to add some new things at the lab.
First, experiments with this nice little JS library that let you add rain drops effect on the screen. I’ve made two pages using this library: on the first one I added a rain sound effect using a video from YouTube. On the second one, I’ve added a background music that matches the mood. The music is loaded using SoundCloud API, a very beautiful song by the talented layur.
The political election was held earlier this month. I’ve made some charts to visually show the rise and fall of political parties, and the imminent coalitions. The charts were made using Morris.js, a charting library created on top of Raphael.
The last toy on the lab was inspired by an excellent infographic from Info We Trust. We all know time management is essential to get things done. That infographic shows the daily routines of some of the greatest minds in history. In this experiment, I tried to develop an interactive model of that infographic.
We’ve discussed about setting up a Node web server and how to create a Node REST API server for CRUD operations to MongoDB. In this final part of the MEAN stack tutorial, I’m going to discuss about creating an application using Angular.js.
Important: Before starting with this tutorial, you need to have already set up a backend server as shown in the second article. And you also need to get accustomed with some basic Angular, such as its data binding techniques and
Continuing from my previous Node tutorial, in this article I’m going to discuss about creating a Node server with some basic CRUD and REST API endpoints. We are going to use MongoDB as the database and Express as the middleware. This setup is a part of the popular MEAN (MongoDB, Express, Angular, Node) stack.
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.