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In computer programming, initialization or initialisation is the assignment of an initial value for a data object or variable. The manner in which initialization is performed depends on the programming language, as well as the type, storage class, etc., of an object to be initialized.
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.
C# have records which provide immutability and equality testing. [1] The record is sealed to prevent inheritance. [2] It overrides the built-in ToString() method. [3]This example implementation includes a static method which can be used to initialize a new instance with a randomly generated globally unique identifier (GUID).
this, self, and Me are keywords used in some computer programming languages to refer to the object, class, or other entity which the currently running code is a part of. The entity referred to thus depends on the execution context (such as which object has its method called).
Sample Chapter: "Gotcha #67: Failure to Employ Resource Acquisition Is Initialization" by Stephen C. Dewhurst; Interview: "A Conversation with Bjarne Stroustrup" by Bill Venners; Article: "The Law of The Big Two" by Bjorn Karlsson and Matthew Wilson; Article: "Implementing the 'Resource Acquisition is Initialization' Idiom" by Danny Kalev
In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:
Self-modifying code is sometimes used to overcome limitations in a machine's instruction set. For example, in the Intel 8080 instruction set, one cannot input a byte from an input port that is specified in a register. The input port is statically encoded in the instruction itself, as the second byte of a two byte instruction.
Python's is operator may be used to compare object identities (comparison by reference), and comparisons may be chained—for example, a <= b <= c. Python uses and, or, and not as Boolean operators. Python has a type of expression named a list comprehension, and a more general expression named a generator expression. [78]