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Programmatically relaunch/recreate an activity?
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15 Answers
15
Active
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best way to preserve numpy arrays on disk
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I'm a big fan of hdf5 for storing large numpy arrays. There are two options for dealing with hdf5 in python:
http://www.pytables.org/
http://www.h5py.org/
Both are designed to work with numpy arrays efficiently.
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How to convert int[] into List in Java?
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answered Jul 2 '09 at 11:52
willcodejavaforfoodwillcodejavaforfood
38.4k1717 gold badges7676 silver badges107107 bronze badges
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Python timedelta in years
...e. Assuming you want an integer number of years, you can guess based on 365.25 days per year and then check using either of the yearsago functions defined above::
def num_years(begin, end=None):
if end is None:
end = datetime.now()
num_years = int((end - begin).days / 365.25)
i...
What SOAP client libraries exist for Python, and where is the documentation for them? [closed]
...SOAPy: Was the "best," but no longer maintained. Does not work on Python 2.5+
ZSI: Very painful to use, and development is slow. Has a module called "SOAPpy", which is different than SOAPy (above).
"Newer" libraries:
SUDS: Very Pythonic, and easy to create WSDL-consuming SOAP clients. Creating S...
Mipmap drawables for icons
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+50
There are two distinct uses of mipmaps:
For launcher icons when building density specific APKs. Some developers build separate APKs...
What is the simplest and most robust way to get the user's current location on Android?
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953
Here's what I do:
First of all I check what providers are enabled. Some may be disabled on th...
How do I check out a remote Git branch?
...too).
– Dan Moulding
Nov 23 '09 at 15:24
139
If it's a new remote branch you may need to git fetc...
Deserialize JSON with C#
...er names.
Adding a sample test:
string json =
@"{""data"":[{""id"":""518523721"",""name"":""ftyft""}, {""id"":""527032438"",""name"":""ftyftyf""}, {""id"":""527572047"",""name"":""ftgft""}, {""id"":""531141884"",""name"":""ftftft""}]}";
Friends facebookFriends = new System.Web.Script.Serializ...
“Large data” work flows using pandas
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+50
I routinely use tens of gigabytes of data in just this fashion
e.g. I have tables on disk that I read via queries, create data and ap...