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Tricky Google interview question
A friend of mine is interviewing for a job. One of the interview questions got me thinking, just wanted some feedback.
21 A...
Obfuscated C Code Contest 2006. Please explain sykes2.c
How does this C program work?
4 Answers
4
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Remove insignificant trailing zeros from a number?
Have I missed a standard API call that removes trailing insignificant zeros from a number?
15 Answers
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What's the fastest way to merge/join data.frames in R?
For example (not sure if most representative example though):
5 Answers
5
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Fast Bitmap Blur For Android SDK
Currently in an Android application that I'm developing I'm looping through the pixels of an image to blur it. This takes about 30 seconds on a 640x480 image.
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Converting strings to floats in a DataFrame
How to covert a DataFrame column containing strings and NaN values to floats. And there is another column whose values are strings and floats; how to convert this entire column to floats.
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快速开发CSS的利器LESS 系列教程 - 更多技术 - 清泛网 - 专注C/C++及内核技术
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让sublime text支持less文件的编译
打开：https://github.com/danro/LESS-sublime 将less文件的压缩包下载下来。将文件解压之后，放置于sublime的data中的packages文件夹中。
html文件能够解析less文件的设置
从http://lesscss.org下载less.js，并将less....
How to form tuple column from two columns in Pandas
I've got a Pandas DataFrame and I want to combine the 'lat' and 'long' columns to form a tuple.
4 Answers
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Split (explode) pandas dataframe string entry to separate rows
I have a pandas dataframe in which one column of text strings contains comma-separated values. I want to split each CSV field and create a new row per entry (assume that CSV are clean and need only be split on ','). For example, a should become b :
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Truncate number to two decimal places without rounding
Suppose I have a value of 15.7784514, I want to display it 15.77 with no rounding.
36 Answers
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