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Difference between Python's Generators and Iterators
What is the difference between iterators and generators? Some examples for when you would use each case would be helpful.
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What is 'Currying'?
I've seen references to curried functions in several articles and blogs but I can't find a good explanation (or at least one that makes sense!)
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LINQPad [extension] methods [closed]
...s two extension methods (in LINQPad.Extensions), namely Dump() and Disassemble(). Dump() writes to the output window using LINQPad's output formatter and is overloaded to let you specify a heading:
typeof (int).Assembly.Dump ();
typeof (int).Assembly.Dump ("mscorlib");
You can also specify a maxi...
Regex lookahead for 'not followed by' in grep
I am attempting to grep for all instances of Ui\. not followed by Line or even just the letter L
5 Answers
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What is The Rule of Three?
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Introduction
C++ treats variables of user-defined types with value semantics.
This means that objects are implicitly copied in various contexts,
and we should understand what "copying an object" actually means.
Let us consider a simple example:
class per...
New lines inside paragraph in README.md
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Interpreting newlines as <br /> used to be a feature of Github-flavored markdown, but the most recent help document no longer lists this feature.
Fortunately, you can do it manually. The easiest way is to ensure that each line ends with two spaces...
Python date string to date object
How do I convert a string to a date object in python?
7 Answers
7
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How to REALLY show logs of renamed files with git?
I'm relatively new to git. I used Subversion before.
5 Answers
5
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Unsupported major.minor version 52.0 [duplicate]
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The issue is because of Java version mismatch. Referring to the Wikipedia Java Class Reference:
Java SE 14 = 58
Java SE 13 = 57
Java SE 12 = 56 (0x38 hex)
Java SE 11 = 55 (0x37 hex)
Java SE 10 = 54
Java SE 9 = 53
Java SE 8 = 52
Java SE 7...
How to pretty-print a numpy.array without scientific notation and with given precision?
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And suppress suppresses the use of scientific notation for small numbers:
y=np.array([1.5e-10,1.5,1500])
print(y)
# [ 1.500e-10 1.500e+00 1.500e+03]
np.set_printoptions(suppress=True)
print(y)
# [ 0. 1.5 1500. ]
See the docs for set_printoptions for other options.
To apply...