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Capitalize words in string [duplicate]

... This doesn't seem to work for nordic characters ä, ö, and å. For example päijät-häme becomes PäIjäT-HäMe – Markus Meskanen Dec 15 '16 at 12:18 ...
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Numpy first occurrence of value greater than existing value

...timeit np.nonzero(aa>N/2)[0][0] # Output 100000 loops, best of 3: 5.97 µs per loop 10000 loops, best of 3: 46.3 µs per loop 10000 loops, best of 3: 154 µs per loop 10000 loops, best of 3: 154 µs per loop share ...
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Python memoising/deferred lookup property decorator

...I found this method to be 7.6 times faster than the selected answer. (2.45 µs / 322 ns) See ipython notebook – Dave Butler Feb 28 '14 at 19:49 1 ...
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Getting error while sending email through Gmail SMTP - “Please log in via your web browser and then

...wered Sep 9 '15 at 0:55 H AßdøµH Aßdøµ 2,31033 gold badges1414 silver badges2424 bronze badges ...
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Access-Control-Allow-Origin Multiple Origin Domains?

...low-Origin: " . $http_origin); to make it work – François Romain Mar 13 '15 at 22:47 2 This code...
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How to find the foreach index?

... edited Dec 14 '17 at 3:16 buræquete 12.5k44 gold badges3131 silver badges6262 bronze badges answered Sep 26 '08 at 18:25 ...
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How to convert a Bitmap to Drawable in android?

...ted Jul 18 '16 at 12:19 Yasin Kaçmaz 5,44944 gold badges3232 silver badges5252 bronze badges answered Mar 10 '10 at 11:17 ...
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Extract first item of each sublist

...t numpy-way, transforming the array: %timeit list(np.array(lst).T[0]) 4.9 µs ± 163 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) Fully native using list comprehension (as explained by @alecxe): %timeit [item[0] for item in lst] 379 ns ± 23.1 ns per loop (mean ± std. dev. of 7 ...
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UnicodeDecodeError when redirecting to file

...n when redirected to a file. #coding: utf8 import sys uni = u'αßΓπΣσµτΦΘΩδ∞φ' print >>sys.stderr,sys.stdout.encoding print uni Output (run directly from terminal) cp437 αßΓπΣσµτΦΘΩδ∞φ Python correctly determined the encoding of the terminal. Output (redirec...
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Pandas - Get first row value of a given column

...ter than using .iloc: In [1]: %timeit -n 1000 df['Btime'].values[20] 5.82 µs ± 142 ns per loop (mean ± std. dev. of 7 runs, 1000 loops each) In [2]: %timeit -n 1000 df['Btime'].iloc[20] 29.2 µs ± 1.28 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each) ...