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What to use as an initial version? [closed]
I usually start my projects with a version 1.0.0. As soon as I have some stuff together, I release it as 1.0.0 and move on with 1.1.0.
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How to iterate for loop in reverse order in swift?
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With Swift 2.0 it is now: 5.stride(to: 1, by: -1) or 5.stride(through: 1, by: -1)
– Binarian
Sep 21 '15 at 9:23
6
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JS Client-Side Exif Orientation: Rotate and Mirror JPEG Images
...erver or anything.
– igneosaur
May 20 '16 at 8:28
3
@igneosaur: you can send base64 encoded data ...
Swift Beta performance: sorting arrays
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tl;dr Swift 1.0 is now as fast as C by this benchmark using the default release optimisation level [-O].
Here is an in-place quicksort in Swift Beta:
func quicksort_swift(inout a:CInt[], start:Int, end:Int) {
if (end - start < 2...
Difference between map, applymap and apply methods in Pandas
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10 Answers
10
Active
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Image Greyscale with CSS & re-color on mouse-over?
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filter: url("data:image/svg+xml;utf8,<svg xmlns=\'http://www.w3.org/2000/svg\'><filter id=\'grayscale\'><feColorMatrix type=\'matrix\' values=\'0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0\'/></filter></svg>#grayscale"); /* Fir...
From inside of a Docker container, how do I connect to the localhost of the machine?
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30 Answers
30
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What is the smallest possible valid PDF?
...ting problem. Taking it by the book, you can start off with this:
%PDF-1.0
1 0 obj<</Type/Catalog/Pages 2 0 R>>endobj 2 0 obj<</Type/Pages/Kids[3 0 R]/Count 1>>endobj 3 0 obj<</Type/Page/MediaBox[0 0 3 3]>>endobj
xref
0 4
0000000000 65535 f
0000000010 00000 n
00...
Sorting arrays in NumPy by column
... copy:
In [1]: import numpy as np
In [2]: a = np.array([[1,2,3],[4,5,6],[0,0,1]])
In [3]: np.sort(a.view('i8,i8,i8'), order=['f1'], axis=0).view(np.int)
Out[3]:
array([[0, 0, 1],
[1, 2, 3],
[4, 5, 6]])
To sort it in-place:
In [6]: a.view('i8,i8,i8').sort(order=['f1'], axis=0) #&...
Run an OLS regression with Pandas Data Frame
...kage which was one of pandas' optional dependencies before pandas' version 0.20.0 (it was used for a few things in pandas.stats.)
>>> import pandas as pd
>>> import statsmodels.formula.api as sm
>>> df = pd.DataFrame({"A": [10,20,30,40,50], "B": [20, 30, 10, 40, 50], "C":...