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Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
Duck typing is similar to, but distinct from, structural typing.Structural typing is a static typing system that determines type compatibility and equivalence by a type's structure, whereas duck typing is dynamic and determines type compatibility by only that part of a type's structure that is accessed during runtime.
Below are some of the areas where Python is used: [16] Web Development: Frameworks like Django and Flask have allowed web developers to create robust web servers that can also take advantage of the wider Python ecosystem. Science and Academia: Scientific and data libraries, like SciPy and Pandas, have enabled Python's use in scientific research ...
It is easier for an IDE to highlight keywords, without having to do a contextual analysis to determine which words are actually keywords (see Fortran examples in previous section). A compiler can be faster, since it can quickly determine if a word is a keyword, without having to do a contextual analysis over the whole of an arbitrarily long ...
The BoW representation of a text removes all word ordering. For example, the BoW representation of "man bites dog" and "dog bites man" are the same, so any algorithm that operates with a BoW representation of text must treat them in the same way. Despite this lack of syntax or grammar, BoW representation is fast and may be sufficient for simple ...
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).
The Python programming language has a pass statement which has no effect when executed and thus serves as a NOP. It is primarily used to ensure correct syntax due to Python's indentation-sensitive syntax ; for example the syntax for definition of a class requires an indented block with the class logic, which has to be expressed as pass when it ...