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What does denote in C# [duplicate]
...ing some code for a project I received. However, I keep seeing code like this :
3 Answers
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Java: Multiple class declarations in one file
...le top level classes in a single file, providing that at most one of these is public (see JLS §7.6 ). See below for example.
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prototype based vs. class based inheritance
In JavaScript, every object is at the same time an instance and a class. To do inheritance, you can use any object instance as a prototype.
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When and why JPA entities should implement Serializable interface?
The question is in the title. Below I just described some of my thoughts and findings.
14 Answers
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Why does Python use 'magic methods'?
...n playing around with Python recently, and one thing I'm finding a bit odd is the extensive use of 'magic methods', e.g. to make its length available, an object implements a method, def __len__(self) , and then it is called when you write len(obj) .
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Controlling the screenshot in the iOS 7 multitasking switcher
...cher in iOS 7 and especially the screenshot that the OS takes when the app is going into hibernation.
8 Answers
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using extern template (C++11)
... a template when you know that it will be instantiated somewhere else. It is used to reduce compile time and object file size.
For example:
// header.h
template<typename T>
void ReallyBigFunction()
{
// Body
}
// source1.cpp
#include "header.h"
void something1()
{
ReallyBigFuncti...
What is the best way to convert an array to a hash in Ruby
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NOTE: For a concise and efficient solution, please see Marc-André Lafortune's answer below.
This answer was originally offered as an alternative to approaches using flatten, which were the most highly upvoted at the time of writing. I shou...
Filtering for empty or NULL names in a queryset
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You could do this:
Name.objects.exclude(alias__isnull=True)
If you need to exclude null values and empty strings, the preferred way to do so is to chain together the conditions like so:
Name.objects.exclude(alias__isnull=True).exclude(a...
Is there a decorator to simply cache function return values?
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Starting from Python 3.2 there is a built-in decorator:
@functools.lru_cache(maxsize=100, typed=False)
Decorator to wrap a function with a memoizing callable that saves up to the maxsize most recent calls. It can save time when an expensive or I/O bound...