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Validating parameters to a Bash script
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lhunathlhunath
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How can you encode a string to Base64 in JavaScript?
I have a PHP script that can encode a PNG image to a Base64 string.
26 Answers
26
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How to do Base64 encoding in node.js?
Does node.js have built-in base64 encoding yet?
7 Answers
7
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What is the difference between range and xrange functions in Python 2.X?
... too large to convert to C long
range(2**32-1, 2**32+1) # OK --> [4294967295L, 4294967296L]
Note that in Python 3.0 there is only range and it behaves like the 2.x xrange but without the limitations on minimum and maximum end points.
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How to replace innerHTML of a div using jQuery?
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zombatzombat
84.7k2121 gold badges148148 silver badges160160 bronze badges
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How do I do base64 encoding on iOS?
I'd like to do base64 encoding and decoding, but I could not find any support from the iPhone SDK . How can I do base64 encoding and decoding with or without a library?
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Convert base64 string to ArrayBuffer
I need to convert a base64 encode string into an ArrayBuffer.
The base64 strings are user input, they will be copy and pasted from an email, so they're not there when the page is loaded.
I would like to do this in javascript without making an ajax call to the server if possible.
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How to determine whether a given Linux is 32 bit or 64 bit?
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Try uname -m. Which is short of uname --machine and it outputs:
x86_64 ==> 64-bit kernel
i686 ==> 32-bit kernel
Otherwise, not for the Linux kernel, but for the CPU, you type:
cat /proc/cpuinfo
or:
grep flags /proc/cpuinfo
Under "flags" parameter, you will see various values...
Where do I find old versions of Android NDK? [closed]
...nux-x86.tar.bz2
http://dl.google.com/android/ndk/android-ndk-r9b-linux-x86_64.tar.bz2
OS X example:
http://dl.google.com/android/ndk/android-ndk-r9b-darwin-x86.tar.bz2
http://dl.google.com/android/ndk/android-ndk-r9b-darwin-x86_64.tar.bz2
Windows example:
http://dl.google.com/android/ndk/android-n...
Find integer index of rows with NaN in pandas dataframe
...3058 0.156073
2 -0.871179 -0.118575
3 0.594188 NaN
4 -1.017903 -0.484744
5 0.860375 0.239265
6 -0.640070 NaN
7 -0.535802 1.632932
8 0.876523 -0.153634
9 -0.686914 0.131185
In [10]: pd.isnull(df).any(1).nonzero()[0]
Out[10]: array([3, 6])
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