Most web pages are filled with significant amounts of whitespace and other useless characters which result in wasted bandwidth for both the client and server. This is especially true with large pages
I am working with Java and the DOM libraries.I have开发者_StackOverflow an XML file which I need to parse through and feed into a database for validation and comparison.
In my server code, I receive an XML resp开发者_如何学运维onse. I need to modify that XML response and send it to the client either in XML or in JSON. I know it can be achieved by parsing the XML and r
I have a dataset similar to this: http://pastie.org/private/3u1reg72nnjfsgqzgqzwra 开发者_如何学JAVAThe list is a set of filenames that need to be processed.When a filename that has a substring of 10
I remember well that using the DOM implementation to create new HTML elements on a document was considered to be very much slower than assigning an HTML string to the \'innerHTML\' property of the app
I am trying to parse this page, but there aren\'t much unique i开发者_运维问答nfo for me to uniquely identify the sections I want.
I\'m trying to parse the following JSON string using GSON in my Android app: {\"Links\":[{\"Name\":\"Facebook\",\"URL\":\"http://www.facebook.com/\"},{\"Name\":\"Twitter\",\"URL\":\"http://twitter.co
XML is here: http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Datasets/ltcompositeindex.xml
I am currently trying to parse a local JSON file on Webkit browsers and I am running into a couple issues.
I\'d like to understand more about the runtime of recursive descent parsers. I\'m also interested in the stack space used by recursive descent parsers (and the trade-offs between runtime and stack spa
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