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Fastest way to check if string contains only digits
...tsOnly(string str)
{
foreach (char c in str)
{
if (c < '0' || c > '9')
return false;
}
return true;
}
Will probably be the fastest way to do it.
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How do I get Month and Date of JavaScript in 2 digit format?
...
("0" + this.getDate()).slice(-2)
for the date, and similar:
("0" + (this.getMonth() + 1)).slice(-2)
for the month.
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How do I create a list of random numbers without duplicates?
I tried using random.randint(0, 100) , but some numbers were the same. Is there a method/module to create a list unique random numbers?
...
iOS White to Transparent Gradient Layer is Gray
...
clearColor has a black color channel with an alpha of 0, so I had to use
[UIColor colorWithWhite:1 alpha:0]
and it works fine.
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Select the values of one property on all objects of an array in PowerShell
...erPropname
– Bassie
Aug 2 '16 at 14:03
2
@Bassie: Accessing a property at the collection level to...
How can you profile a Python script?
...e.bat':
python -m cProfile %1
So all I have to do is run:
profile euler048.py
And I get this:
1007 function calls in 0.061 CPU seconds
Ordered by: standard name
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.061 0.061 <string>:1(<...
Is it possible to apply CSS to half of a character?
... output = '';
// Iterate over all chars in the text
for (i = 0; i < chars.length; i++) {
// Create a styled element for each character and append to container
output += '<span aria-hidden="true" class="halfStyle" data-content="' + chars[i] + '">' + chars[i] +...
What's the difference between --general-numeric-sort and --numeric-sort options in gnu sort
... compares the numbers as floats, this allows scientific notation eg 1.234E10 but is slower and subject to rounding error (1.2345678 could come after 1.2345679), numeric sort is just a regular alphabetic sort that knows 10 comes after 9.
See http://www.gnu.org/software/coreutils/manual/html_nod...
Numpy - add row to array
...pare its row to a number: i < 3?
EDIT after OP's comment:
A = array([[0, 1, 2], [0, 2, 0]])
X = array([[0, 1, 2], [1, 2, 0], [2, 1, 2], [3, 2, 0]])
add to A all rows from X where the first element < 3:
import numpy as np
A = np.vstack((A, X[X[:,0] < 3]))
# returns:
array([[0, 1, 2],
...
Add one row to pandas DataFrame
...n range(5):
>>> df.loc[i] = ['name' + str(i)] + list(randint(10, size=2))
>>> df
lib qty1 qty2
0 name0 3 3
1 name1 2 4
2 name2 2 8
3 name3 2 1
4 name4 9 6
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