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Storing Python dictionaries
I'm used to bringing data in and out of Python using CSV files, but there are obvious challenges to this. Are there simple ways to store a dictionary (or sets of dictionaries) in a JSON or pickle file?
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How can I declare and define multiple variables in one line using C++?
...ight, width; might turn into uint8_t height; uint16_t width; in the future and should have been uint8_t height; uint8_t width; to begin with).
– altendky
Jun 17 '15 at 15:08
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How does one parse XML files? [closed]
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It's very simple. I know these are standard methods, but you can create your own library to deal with that much better.
Here are some examples:
XmlDocument xmlDoc= new XmlDocument(); // Create an XML document object
xmlDoc.Load("yourXMLFile.xml"); // Load the ...
Image library for Python 3
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The "friendly PIL fork" Pillow works on Python 2 and 3. Check out the Github project for support matrix and so on.
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'innerText' works in IE, but not in Firefox
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Firefox uses the W3C-compliant textContent property.
I'd guess Safari and Opera also support this property.
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How to use java.String.format in Scala?
...d know how it should display the string. %s is probably the most common, and it just means that the argument should be treated as a string.
I won't list every option, but I'll give a few examples just to give you an idea:
// we can specify the # of decimals we want to show for a floating point:
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Difference between “and” and && in Ruby?
What is the difference between the && and and operators in Ruby?
7 Answers
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How do I ignore a directory with SVN?
I just started using SVN, and I have a cache directory that I don't need under source control. How can I ignore the whole directory/folder with SVN?
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Get the first element of an array
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I get this: <b>Strict Standards</b>: Only variables should be passed by reference. Nice workaround btw
– Simone
Mar 21 '12 at 13:55
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Creating dataframe from a dictionary where entries have different lengths
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In Python 3.x:
import pandas as pd
import numpy as np
d = dict( A = np.array([1,2]), B = np.array([1,2,3,4]) )
pd.DataFrame(dict([ (k,pd.Series(v)) for k,v in d.items() ]))
Out[7]:
A B
0 1 1
1 2 2
2 NaN 3
3 NaN 4
In Python 2.x...