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Print/export Download as PDF; Printable version; In other projects Wikidata item; ... This is a list of functional programming topics. Foundational concepts
For brevity, these words will have the specified meanings in the following tables (unless noted to be part of language syntax): funcN A function.
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] Anonymous functions ...
Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals. [3]
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})
The table shows a comparison of functional programming languages which compares various features and designs of different functional programming languages. Name Pure
Assembly languages directly correspond to a machine language (see below), so machine code instructions appear in a form understandable by humans, although there may not be a one-to-one mapping between an individual statement and an individual instruction.
Python provides the ctypes and cffi modules. For example, the ctypes module can load C functions from a shared library, or dynamic-link library (DLL) on-the-fly and translate simple data types automatically between Python and C semantics as follows: