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Python def __getitem__(self, index): Tab ↹ instructions Tab ↹ return value def __setitem__(self, index, value): Tab ↹ instructions: def __getitem__(self, index): Tab ↹ instructions Tab ↹ return value: def __setitem__(self, index, value): Tab ↹ instructions: Visual Basic .NET Default Property Item(Index As type) As type Get ...
Modula-3 is a programming language conceived as a successor to an upgraded version of Modula-2 known as Modula-2+.It has been influential in research circles (influencing the designs of languages such as Java, C#, Python [8] and Nim), but it has not been adopted widely in industry.
The most important usage of PyObjC is enabling programmers to create GUI applications using Cocoa libraries in pure Python. [2] Moreover, as an effect of Objective-C's close relationship with the C programming language (it is a pure superset), developers are also able to incorporate any C-based API by wrapping it with an Objective-C wrapper and then using the wrapped code over the PyObjC bridge.
[1] [2] Similar syntax is used in other languages including Modula-2 [3] and Python. [4] In Pascal there is no return statement. Functions or procedures automatically return when reaching their last statement. The return value from a function is provided within the function by making an assignment to an identifier with the same name as the ...
The concept of the virtual function solves the following problem: In object-oriented programming, when a derived class inherits from a base class, an object of the derived class may be referred to via a pointer or reference of the base class type instead of the derived class type.
Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning ...
Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:
In computer programming, lazy initialization is the tactic of delaying the creation of an object, the calculation of a value, or some other expensive process until the first time it is needed.