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However, as Python had accumulated new and redundant ways to program the same task, Python 3.0 had an emphasis on removing duplicative constructs and modules, in keeping with the Zen of Python: "There should be one— and preferably only one —obvious way to do it". Nonetheless, Python 3.0 remained a multi-paradigm language.
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 community. [38] [39] [40] [41]
From 2005 to December 2012, Van Rossum worked at Google, where he spent half of his time developing the Python language. At Google, he developed Mondrian, a web-based code review system written in Python and used within the company. He named the software after the Dutch painter Piet Mondrian. [20]
Guido van Rossum, creator of Python. James Gosling, lead developer of Java and its precursor, Oak. Jean Ichbiah, chief designer of Ada, Ada 83. Jean-Yves Girard, co-inventor of the polymorphic lambda calculus (System F). Jeff Bezanson, main designer, and one of the core developers of Julia. Jeffrey Snover, inventor of PowerShell.
Python, sometimes written Pytho, presided at the Delphic oracle, which existed in the cult center for its mother, Gaia, "Earth", Pytho being the place name that was substituted for the earlier Krisa. [1] Greeks considered the site to be the center of the Earth, represented by a stone, the omphalos or navel, which Python guarded.
The name was also inspired by Goldy Gopher, the mascot for the University of Minnesota where the protocol was developed. grep – a Unix command line utility; The name comes from a command in the Unix text editor ed that takes the form g/re/p meaning search globally for a regular expression and print lines where instances are found. [30] "Grep ...
One of the principles, "There should be one-- and preferably only one --obvious way to do it", can be referenced as the "Pythonic" way. [8] The official definition of "Pythonic" is: [2] An idea or piece of code which closely follows the most common idioms of the Python language, rather than implementing code using concepts common to other ...
One of the very useful aspects of Python is the concept of collection (or container) types. In general a collection is an object that contains other objects in a way that is easily referenced or indexed. Collections come in two basic forms: sequences and mappings. The ordered sequential types are lists (dynamic arrays), tuples, and strings.