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How to pretty-print a numpy.array without scientific notation and with given precision?

...printoptions to set the precision of the output: import numpy as np x=np.random.random(10) print(x) # [ 0.07837821 0.48002108 0.41274116 0.82993414 0.77610352 0.1023732 # 0.51303098 0.4617183 0.33487207 0.71162095] np.set_printoptions(precision=3) print(x) # [ 0.078 0.48 0.413 0.83 ...
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What values should I use for CFBundleVersion and CFBundleShortVersionString?

This is my first iOS app submission and I don't want my app rejected. 7 Answers 7 ...
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Rotating a two-dimensional array in Python

... answered Dec 7 '11 at 19:43 Andrew ClarkAndrew Clark 171k2525 gold badges236236 silver badges278278 bronze badges ...
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What's the difference between ASCII and Unicode?

What's the exact difference between Unicode and ASCII? 9 Answers 9 ...
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Fastest way to flatten / un-flatten nested JSON objects

I threw some code together to flatten and un-flatten complex/nested JSON objects. It works, but it's a bit slow (triggers the 'long script' warning). ...
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Computational complexity of Fibonacci Sequence

I understand Big-O notation, but I don't know how to calculate it for many functions. In particular, I've been trying to figure out the computational complexity of the naive version of the Fibonacci sequence: ...
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Memoization in Haskell?

...f :: Int -> Int faster_f n = f_list !! n That performs passably well, and replaces what was going to take O(n^3) time with something that memoizes the intermediate results. But it still takes linear time just to index to find the memoized answer for mf. This means that results like: *Main Dat...
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Checking if a string can be converted to float in Python

I've got some Python code that runs through a list of strings and converts them to integers or floating point numbers if possible. Doing this for integers is pretty easy ...
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What do hjust and vjust do when making a plot using ggplot?

...lot using ggplot, I spend a little while trying different values for hjust and vjust in a line like 2 Answers ...
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How to add an extra column to a NumPy array

... I think a more straightforward solution and faster to boot is to do the following: import numpy as np N = 10 a = np.random.rand(N,N) b = np.zeros((N,N+1)) b[:,:-1] = a And timings: In [23]: N = 10 In [24]: a = np.random.rand(N,N) In [25]: %timeit b = np.hstac...