Download Building eCommerce Applications by Developers from DevZone PDF

By Developers from DevZone

This number of articles and web publication entries is consultant of the whole spectrum of commerce-related content material we’ve released on PayPal’s Developer community over the last 12 months. you will discover tutorials and speedy reference items for builders. With the construction of x.commerce we now have multiplied our assurance to deal with the desires of eBay and Magento builders and you may anticipate to work out extra content material all in favour of aiding either the developer and service provider groups within the coming year.

Our staff has coated a large choice of subject matters together with construction cellular purchasing carts, QR codes, operating with numerous PayPal APIs, together with how one can combine PayPal with different applied sciences similar to WordPress. 3 major subject matters have emerged within the trade international this day: cellular, Social, and native. count on to determine extra assurance of those within the coming months.

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This is an incredibly rich set of data and includes everything from the number of tractors in Afghanistan to China’s urban population to various economic and financial indicators. In addition to being an interesting set of data for demo purposes, there are definitely possibilities for ways that you could mine this data set and sell the analysis as a report or perhaps in tiny bite-sized chunks using a micropayments sales strategy. We’ll investigate a few of these possibilities in a future article.

The steps involved in visualizing a query are generally the same: construct the query, run it, and pass the results into a visualization for rendering. The simplest visualization to start out with is a table, since it requires simply passing the result of the query into a Table constructor function. jsp. draw(data); }); });

Figure 4-1. Rendering your query as a sortable data table is incredibly easy Hopefully, the code is pretty easy to follow from top to bottom.

Conceptually, the result set returned from such a query is a single tuple of numbers where each number corresponds to each year of interest. As we’ll see later, the format of these result sets is potentially awkward and may need to be transposed depending on the expectation of the visualization widget, but the additional logic required to massage the data is relatively straightforward. As a word of advice, it’s generally best to err toward simplicity when first exploring a data set in a relational database since you don’t know much about the data or how you’ll ultimately end up using it.

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