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Flatten nested dictionaries, compressing keys
...t(items)
>>> flatten({'a': 1, 'c': {'a': 2, 'b': {'x': 5, 'y' : 10}}, 'd': [1, 2, 3]})
{'a': 1, 'c_a': 2, 'c_b_x': 5, 'd': [1, 2, 3], 'c_b_y': 10}
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For loop example in MySQL
...ot null auto_increment primary key,
val smallint unsigned not null default 0
)
engine=innodb;
drop procedure if exists load_foo_test_data;
delimiter #
create procedure load_foo_test_data()
begin
declare v_max int unsigned default 1000;
declare v_counter int unsigned default 0;
truncate table f...
Sequence contains more than one element
...ault. This method will only succeed when the collections contains exactly 0 or 1 element. I believe you are looking for FirstOrDefault which will succeed no matter how many elements are in the collection.
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How to identify numpy types in python?
... numpy enough type?
– panda-34
Mar 10 '16 at 13:02
If you want anything in numpy.* you just walk the parent package of...
How can I split a string into segments of n characters?
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edited Jun 30 '16 at 3:03
Ruslan López
3,91811 gold badge1818 silver badges3131 bronze badges
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How can I update the current line in a C# Windows Console App?
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805
If you print only "\r" to the console the cursor goes back to the beginning of the current line...
Can the Unix list command 'ls' output numerical chmod permissions?
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it almost can ..
ls -l | awk '{k=0;for(i=0;i<=8;i++)k+=((substr($1,i+2,1)~/[rwx]/) \
*2^(8-i));if(k)printf("%0o ",k);print}'
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How are multi-dimensional arrays formatted in memory?
...things are going to happen. Here's a quick example:
int array1[3][2] = {{0, 1}, {2, 3}, {4, 5}};
In memory looks like this:
0 1 2 3 4 5
exactly the same as:
int array2[6] = { 0, 1, 2, 3, 4, 5 };
But if you try to pass array1 to this function:
void function1(int **a);
you'll get a warnin...
python plot normal distribution
...ot as plt
import numpy as np
import scipy.stats as stats
import math
mu = 0
variance = 1
sigma = math.sqrt(variance)
x = np.linspace(mu - 3*sigma, mu + 3*sigma, 100)
plt.plot(x, stats.norm.pdf(x, mu, sigma))
plt.show()
s...
Add single element to array in numpy
...mal to use the proper method for adding an element:
a = numpy.append(a, a[0])
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