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Python: Ignore 'Incorrect padding' error when base64 decoding
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Martijn Pieters♦
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answered Mar 21 '12 at 14:57
Simon SapinSimon Sapin
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In Java, what is the best way to determine the size of an object?
... I tried this and got strange and unhelpful results. Strings were always 32, regardless of size. I thought this was maybe the pointer size but for another immutable class I created, I got 24. It works well for primitives but then you don't really need a program to tell you how big a char is.
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Why is creating a new process more expensive on Windows than Linux?
...p when COW is used, but as a matter of fact, fork is mostly followed by an exec. And an exec has to load all images as well. Discussing the performance of fork therefore is only part of the truth.
When discussing the speed of process creation, it is probably a good idea to distinguish between NT an...
Get Base64 encode file-data from Input Form
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edited Oct 15 '15 at 17:32
Ram
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answered Aug ...
When is assembly faster than C?
...out floating point, they shine when it comes to precision as they give you 32 bits of precision with a predictable error (float only has 23 bit and it's harder to predict precision loss). i.e. uniform absolute precision over the entire range, instead of close-to-uniform relative precision (float).
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Could not reserve enough space for object heap
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Hearen
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answered Dec 9 '10 at 17:48
BozhoBozho
53...
How to default to other directory instead of home directory
... To clarify, in the shortcut the "Target" should be %WINDIR%\System32\bash.exe and the "Start In" should be C:\Temp or whatever path you want.
– demoncodemonkey
Nov 10 '16 at 11:53
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Elevating process privilege programmatically?
I'm trying to install a service using InstallUtil.exe but invoked through Process.Start . Here's the code:
5 Answers
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Base64: What is the worst possible increase in space usage?
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Lionet ChenLionet Chen
69577 silver badges2323 bronze badges
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Assign pandas dataframe column dtypes
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output = io.StringIO()
output.write('A,1,20,31\n')
output.write('B,2,21,32\n')
output.write('C,3,22,33\n')
output.write('D,4,23,34\n')
output.seek(0)
df=pd.read_csv(output, header=None,
names=["A","B","C","D"],
dtype={"A":"category","B":"float32","C":"int32","D":"float64"},
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