python computer coding languages

computer coding languages
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Python was conceived in the late 1980s,[30] and its implementation began in December 1989[31] by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language (itself inspired by SETL)[32] capable of exception handling and interfacing with the operating system Amoeba.[8] Van Rossum is Python's principal author, and his continuing central role in deciding the direction of Python is reflected in the title given to him by the Python community, benevolent dictator for life (BDFL).

About the origin of Python, Van Rossum wrote in 1996
Python is a multi-paradigm programming language: object-oriented programming and structured programming are fully supported, and many language features support functional programming and aspect-oriented programming (including by metaprogramming[37] and metaobjects (magic methods)).[38] Many other paradigms are supported via extensions, including design by contract[39][40] and logic programming.[41]

Python uses dynamic typing and a mix of reference counting and a cycle-detecting garbage collector for memory management. An important feature of Python is dynamic name resolution (late binding), which binds method and variable names during program execution.

The design of Python offers some support for functional programming in the Lisp tradition. The language has map(), reduce() and filter() functions; list comprehensions, dictionaries, and sets; and generator expressions.[42] The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML

Python is a multi-paradigm programming language: object-oriented programming and structured programming are fully supported, and many language features support functional programming and aspect-oriented programming (including by metaprogramming[37] and metaobjects (magic methods)).[38] Many other paradigms are supported via extensions, including design by contract[39][40] and logic programming.[41]

Python uses dynamic typing and a mix of reference counting and a cycle-detecting garbage collector for memory management. An important feature of Python is dynamic name resolution (late binding), which binds method and variable names during program execution.

The design of Python offers some support for functional programming in the Lisp tradition. The language has map(), reduce() and filter() functions; list comprehensions, dictionaries, and sets; and generator expressions.[42] The standard library has two modules (itertools and
functools) that implement functional tools borrowed from Haskell and Standard ML


Python is an interpreted, object-oriented programming language similar to PERL, that has gained popularity because of its clear syntax and readability. Python is said to be relatively easy to learn and portable, meaning its statements can be interpreted in a number of operating


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