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What is the difference between float and double?
...re calculated:
double has 52 mantissa bits + 1 hidden bit: log(253)÷log(10) = 15.95 digits
float has 23 mantissa bits + 1 hidden bit: log(224)÷log(10) = 7.22 digits
This precision loss could lead to greater truncation errors being accumulated when repeated calculations are done, e.g.
float a = 1...
How to create a inset box-shadow only on one side?
...
240
This is what you are looking for. It has examples for each side you want with a shadow.
.top-box...
Draw a perfect circle from user's touch
...
+500
Sometimes it is really useful to spend some time reinventing the wheel. As you might have already noticed there are a lot of framewor...
Understanding the Use of ColorMatrix and ColorMatrixColorFilter to Modify a Drawable's Hue
...
10 Answers
10
Active
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How to make link look like a button?
...
107
Using CSS:
.button {
display: block;
width: 115px;
height: 25px;
backg...
Normalize data in pandas
...
In [92]: df
Out[92]:
a b c d
A -0.488816 0.863769 4.325608 -4.721202
B -11.937097 2.993993 -12.916784 -1.086236
C -5.569493 4.672679 -2.168464 -9.315900
D 8.892368 0.932785 4.535396 0.598124
In [93]: df_norm = (df - df.mean()) / (df.max() - df...
How to add an extra column to a NumPy array
...lution 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.hstack((a,np.zeros((a.shape[0],1))))
10000 loops, best of 3: 19.6 us per ...
Find row where values for column is maximal in a pandas DataFrame
...,3),columns=['A','B','C'])
>>> df
A B C
0 1.232853 -1.979459 -0.573626
1 0.140767 0.394940 1.068890
2 0.742023 1.343977 -0.579745
3 2.125299 -0.649328 -0.211692
4 -0.187253 1.908618 -1.862934
>>> df['A'].argmax()
3
>>> df['B'].argmax()
4
&...
Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
... counts
– alvitawa
Jun 24 '19 at 16:04
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Are list-comprehensions and functional functions faster than “for loops”?
...el loop:
>>> dis.dis(<the code object for `[x for x in range(10)]`>)
1 0 BUILD_LIST 0
3 LOAD_FAST 0 (.0)
>> 6 FOR_ITER 12 (to 21)
9 STORE_FAST 1 (x)
12 LOAD_FAST...