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Python 2.0 was released in 2000. 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. [36] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning ...
The Zen of Python is a collection of 19 "guiding principles" for writing computer programs that influence the design of the Python programming language. [1] Python code that aligns with these principles is often referred to as "Pythonic". [2] Software engineer Tim Peters wrote this set of principles and posted it on the Python mailing list in ...
Python 2.6 was released to coincide with Python 3.0, and included some features from that release, as well as a "warnings" mode that highlighted the use of features that were removed in Python 3.0. [ 27 ] [ 10 ] Similarly, Python 2.7 coincided with and included features from Python 3.1, [ 28 ] which was released on June 26, 2009.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
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Python (mythology) Apollo killing Python. A 1581 engraving by Virgil Solis for Ovid 's Metamorphoses, Book I. In Greek mythology, Python (Greek: Πύθων; gen. Πύθωνος) was the serpent, sometimes represented as a medieval -style dragon, living at the center of the Earth, believed by the ancient Greeks to be at Delphi.
Django (/ ˈdʒæŋɡoʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python -based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern. [7][8] It is maintained by the Django Software Foundation (DSF), an independent organization established in the US as a 501 ...
Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS.