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Capture Signature using HTML5 and iPad
...on drawing velocity) curves: demo at http://szimek.github.io/signature_pad and code at https://github.com/szimek/signature_pad.
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What is href=“#” and why is it used?
...lt;div id="some-id">.
href="//site.com/#some-id" would go to site.com and scroll to the id on that page.
Scroll to Top:
href="#" doesn't specify an id name, but does have a corresponding location - the top of the page. Clicking an anchor with href="#" will move the scroll position to the top....
Difference between mkdir() and mkdirs() in java for java.io.File [closed]
...kdir());
System.out.println(f.mkdirs());
will yield false for the first [and no dir will be created], and true for the second, and you will have created non_existing_dir/someDir
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What is the difference between .cc and .cpp file suffix? [duplicate]
What is the difference between .cc and .cpp file extensions?
4 Answers
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When should I use Arrow functions in ECMAScript 6?
...ght about code style in the context of the upcoming ECMAScript 6 (Harmony) and who have already worked with the language.
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Difference between Big-O and Little-O Notation
What is the difference between Big-O notation O(n) and Little-O notation o(n) ?
4 Answers
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How to escape special characters in building a JSON string?
... edited Jun 21 '16 at 1:12
Andrew
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answered Oct 4 '13 at 7:56
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Referring to the null object in Python
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And the reason for choosing egg is None over egg == None: The latter can be overloaded, and is likely to break when comparing valid object with None (depends on how it's implemented, but you don't expect everyone to take comp...
How to compute the similarity between two text documents?
...common way of doing this is to transform the documents into TF-IDF vectors and then compute the cosine similarity between them. Any textbook on information retrieval (IR) covers this. See esp. Introduction to Information Retrieval, which is free and available online.
Computing Pairwise Similarities...
How do I create test and train samples from one dataframe with pandas?
I have a fairly large dataset in the form of a dataframe and I was wondering how I would be able to split the dataframe into two random samples (80% and 20%) for training and testing.
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