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How to keep onItemSelected from firing off on a newly instantiated Spinner?
...ple boolean flag would allow you to detect the rogue first selection event and ignore it.
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How do I look inside a Python object?
...to code in various projects using Python (including Django web development and Panda3D game development).
22 Answers
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Find out a Git branch creator
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In case there has not been any commit on the branch and if it has been created from master, the "author of the branch" is completely unrelated to that branch but just the last committer on master. If you pull in changes from master and it's a fast-forward, it is again the last...
Resuming git-svn clone
...ion. After about 6 hours of importing (it's a big repo), my computer went and slept on me. Is there a way to resume the operation without redoing all of the initial work?
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Are Exceptions in C++ really slow
I was watching Systematic Error Handling in C++—Andrei Alexandrescu he claims that Exceptions in C++ are very very slow.
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How do iOS Push Notifications work?
...ered to receive those notifications. Each device establishes an accredited and encrypted IP connection with the service and receives notifications over this persistent connection. Providers connect with APNs through a persistent and secure channel while monitoring incoming data intended for their cl...
Make a float only show two decimal places
...oat];
%.02f tells the formatter that you will be formatting a float (%f) and, that should be rounded to two places, and should be padded with 0s.
E.g.:
%f = 25.000000
%.f = 25
%.02f = 25.00
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Format output string, right alignment
...ew = '{:>12} {:>12} {:>12}'.format(word[0], word[1], word[2])
And here's how to do it using the old % syntax (useful for older versions of Python that don't support str.format):
line_new = '%12s %12s %12s' % (word[0], word[1], word[2])
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Convert Pandas column containing NaNs to dtype `int`
I read data from a .csv file to a Pandas dataframe as below. For one of the columns, namely id , I want to specify the column type as int . The problem is the id series has missing/empty values.
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What's the fastest way to merge/join data.frames in R?
...he first. If there are duplicates in the second data frame then the match and merge approaches are not the same. Match is, of course, faster since it is not doing as much. In particular it never looks for duplicate keys. (continued after code)
DF1 = data.frame(a = c(1, 1, 2, 2), b = 1:4)
DF2 = da...