Network and Security

Most of the popular eCommerce frameworks available in the market provide the ability to offer multiple stores from within a single installation, and OpenCart is no different. In this tutorial, you're going to learn how to create a multi-store setup using a single installation of OpenCart. Throughout the tutorial, we'll walk through the back-end section to explore what exactly a multi-store setup is and how it can benefit us in the use case of setting up multiple websites. What Is Multi-Store? First, let's understand what multi-store is all about. Suppose you've set up a nice-looking online store selling products using OpenCart. And you're happy with it as it's rolling on and you're making sales. Now, however, you're planning to set up a variety of products, but you realize that it would be too much to include everything in the same store. So you've come up with a solution to set up different subdomains for each major category. For exampl

In the previous part of this tutorial, we saw how to plot data fetched from Google BigQuery into our D3.js chart. But there are a few issues, like the fact that the scale doesn't change dynamically, and the circles plotted don't get removed on subsequent searches. In this tutorial, we'll see how to resolve those issues and use  D3.js transitions  to animate the graph. We'll also add certain features to make our graph more interactive. Getting Started Clone the previous tutorial source code from GitHub . 1 git clone https://github.com/jay3dec/PythonD3jsMashup_Part3.git Before getting started, create a new template called  displayChart_4.html , which will be the same as displayChart_3.html . Also, add a route for  displayChart_4.html . This is done just to keep the demo of the previous tutorial intact, since I'll be hosting it on the same URL. 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 class DisplayChart4(webapp2.RequestHandler):    def get( self ):      templ

In the first part of this series, we created a Python application and deployed it to Google App Engine (GAE). From the application we connected it to a  Google BigQuery dataset and fetched the data into our application. In this tutorial, we'll see how to visualize the data using the JavaScript library D3.js . 1. Getting Started With D3.js D3.js is a JavaScript library to create data-driven documents. It uses the capabilities of HTML5, SVG and CSS3 to create interactive visualizations based on arbitrary data. It also makes use of different transformations to make the display visually more appealing. From the D3.js official site : D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipu