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How to write the Fibonacci Sequence?
I had originally coded the program wrongly. Instead of returning the Fibonacci numbers between a range (ie. startNumber 1, endNumber 20 should = only those numbers between 1 & 20), I have written for the program to display all Fibonacci numbers between a range (ie. startNumber 1, endNumber 20 displa...
Get last n lines of a file, similar to tail
I'm writing a log file viewer for a web application and for that I want to paginate through the lines of the log file. The items in the file are line based with the newest item on the bottom.
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Drawing a dot on HTML5 canvas [duplicate]
Drawing a line on the HTML5 canvas is quite straightforward using the context.moveTo() and context.lineTo() functions.
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Command-line Unix ASCII-based charting / plotting tool
Is there a good command-line UNIX charting / graphing / plotting tool out there? I'm looking for something that will plot xy points on an ASCII graph.
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Why does (0 < 5 < 3) return true?
I was playing around in jsfiddle.net and I'm curious as to why this returns true?
14 Answers
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How can I get the client's IP address in ASP.NET MVC?
I'm totally new to the ASP.NET MVC stack, and I was wondering what happened to the simple Page object and the Request ServerVariables object?
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Convert a list of data frames into one data frame
I have code that at one place ends up with a list of data frames which I really want to convert to a single big data frame.
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How to remove gaps between subplots in matplotlib?
The code below produces gaps between the subplots. How do I remove the gaps between the subplots and make the image a tight grid?
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how to ignore namespaces with XPath
My goal is to extract certain nodes from multiple xml files with multiple namespaces using XPath. Everything works fine as long as i know the namespace URIs. The namespace name itself remains constant, but the Schemas (XSD) are sometimes client-generated i.e. unknown to me. Then i am left with basic...
Principal component analysis in Python
I'd like to use principal component analysis (PCA) for dimensionality reduction. Does numpy or scipy already have it, or do I have to roll my own using numpy.linalg.eigh ?
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