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Python: avoid new line with print command [duplicate]

... answered Jun 29 '12 at 17:10 Sven MarnachSven Marnach 446k100100 gold badges833833 silver badges753753 bronze badges ...
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Extract public/private key from PKCS12 file for later use in SSH-PK-Authentication

I want to extract the public and private key from my PKCS#12 file for later use in SSH-Public-Key-Authentication. 7 Answ...
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Meaning of numbers in “col-md-4”,“ col-xs-1”, “col-lg-2” in Bootstrap

... sm, md, lg) for now, I'll start with just the numbers... the numbers (1-12) represent a portion of the total width of any div all divs are divided into 12 columns so, col-*-6 spans 6 of 12 columns (half the width), col-*-12 spans 12 of 12 columns (the entire width), etc So, if you want two equa...
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Sort array of objects by single key with date value

...use Array.sort. Here's an example: var arr = [{ "updated_at": "2012-01-01T06:25:24Z", "foo": "bar" }, { "updated_at": "2012-01-09T11:25:13Z", "foo": "bar" }, { "updated_at": "2012-01-05T04:13:24Z", "foo": "bar" } ] arr.sort(function(a, b) { va...
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How can I find the number of days between two Date objects in Ruby?

... dylanfm 6,12055 gold badges2424 silver badges2727 bronze badges answered Dec 21 '10 at 17:47 Agile JediAgile Je...
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Associativity of “in” in Python?

... 123 1 in [] in 'a' is evaluated as (1 in []) and ([] in 'a'). Since the first condition (1 in []...
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List comprehension: Returning two (or more) items for each item

... | edited Aug 8 '12 at 17:25 answered Aug 8 '12 at 16:29 ...
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What's the difference between lists enclosed by square brackets and parentheses in Python?

... answered Jan 17 '12 at 19:04 jterracejterrace 54.4k2020 gold badges135135 silver badges181181 bronze badges ...
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How do write IF ELSE statement in a MySQL query

... answered Jan 6 '12 at 19:32 Jack EdmondsJack Edmonds 26.3k1414 gold badges5656 silver badges7676 bronze badges ...
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Efficient way to apply multiple filters to pandas DataFrame or Series

...df.loc[df['col1'] >= 1, 'col1'] Out[11]: 1 1 2 2 Name: col1 In [12]: df[df['col1'] >= 1] Out[12]: col1 col2 1 1 11 2 2 12 In [13]: df[(df['col1'] >= 1) & (df['col1'] <=1 )] Out[13]: col1 col2 1 1 11 If you want to write helper functions for t...