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Is there a combination of “LIKE” and “IN” in SQL?
In SQL I (sadly) often have to use " LIKE " conditions due to databases that violate nearly every rule of normalization. I can't change that right now. But that's irrelevant to the question.
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Why does changing the sum order returns a different result?
Why does changing the sum order returns a different result?
6 Answers
6
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How do you add a Dictionary of items into another Dictionary
Arrays in Swift support the += operator to add the contents of one Array to another. Is there an easy way to do that for a dictionary?
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Generate a random date between two other dates
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Convert both strings to timestamps (in your chosen resolution, e.g. milliseconds, seconds, hours, days, whatever), subtract the earlier from the later, multiply your random number (assuming it is distributed in the range [0, 1]) with that difference, and add again...
Is there a query language for JSON?
Is there a (roughly) SQL or XQuery-like language for querying JSON?
22 Answers
22
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Single Line Nested For Loops
Wrote this function in python that transposes a matrix:
5 Answers
5
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What does = +_ mean in JavaScript
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r = +_;
+ tries to cast whatever _ is to a number.
_ is only a variable name (not an operator), it could be a, foo etc.
Example:
+"1"
cast "1" to pure number 1.
var _ = "1";
var r = +_;
r is now 1, not "1".
Moreover, according to the MDN page on Arithmetic Operators:
The...
Iterate over object attributes in python
I have a python object with several attributes and methods. I want to iterate over object attributes.
8 Answers
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Is there a better way to iterate over two lists, getting one element from each list for each iterati
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This is as pythonic as you can get:
for lat, long in zip(Latitudes, Longitudes):
print lat, long
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How to convert list of tuples to multiple lists?
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The built-in function zip() will almost do what you want:
>>> zip(*[(1, 2), (3, 4), (5, 6)])
[(1, 3, 5), (2, 4, 6)]
The only difference is that you get tuples instead of lists. You can convert them to lists using
map(list, zip(*[(1, 2), (3, 4), (5, 6)]))
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