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pretty-print JSON using JavaScript

...-to-read (for human readers) format? I'm looking primarily for indentation and whitespace, with perhaps even colors / font-styles / etc. ...
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Invoking JavaScript code in an iframe from the parent page

Basically, I have an iframe embedded in a page and the iframe has some JavaScript routines I need to invoke from the parent page. ...
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How can I convert a DOM element to a jQuery element?

... What about the reverse? You have a jquery element and want to convert it to a dom element? – Ryan Sampson Apr 1 '10 at 20:50 2 ...
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Android Quick Actions UI Pattern

I'm interested in incorporating the Android UI pattern called "Quick Action". Basically, it's a context menu that doesn't cover up the data that is being acted on. I'd like to implement this but I cannot find some sample code or an API to help me out. ...
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VIM + JSLint?

...tegration or do what I did: Download http://jslint.webvm.net/mylintrun.js and http://www.jslint.com/fulljslint.js and put them in a directory of your choice. Then add the following line to the beginning of mylintrun.js: var filename= arguments[0]; and change last line of code in mylintrun.js (...
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Difference between ApiController and Controller in ASP.NET MVC

I've been playing around with ASP.NET MVC 4 beta and I see two types of controllers now: ApiController and Controller . ...
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how to set a value for a span using JQuery

... what is the difference between .text and .html ? – ZaidRehman Jan 11 '18 at 11:56 4 ...
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How to estimate how much memory a Pandas' DataFrame will need?

I have been wondering... If I am reading, say, a 400MB csv file into a pandas dataframe (using read_csv or read_table), is there any way to guesstimate how much memory this will need? Just trying to get a better feel of data frames and memory... ...
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Bootstrap: align input with button

Why don't buttons and inputs align well in Bootstrap? 12 Answers 12 ...
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Setting individual axis limits with facet_wrap and scales = “free” in ggplot2

...meters. I train the model with 85% of the data, test on the remaining 15%, and repeat this 5 times, collecting actual/predicted values each time. After calculating the residuals, my data.frame looks like this: ...