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Zen of Python. The Zen of Python output in a terminal. 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]
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.
Non-Programmer's Tutorial for Python 3/Print version - Wikibooks, open books for an open world; Author: hbossot: Image title: File change date and time: 20:34, 14 January 2016: Date and time of digitizing: 20:34, 14 January 2016: Software used: PDFCreator 2.2.2.0: Conversion program: PDFCreator 2.2.2.0: Encrypted: no: Page size: 595 x 842 pts ...
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts
A Pocketful of Python. A Pocketful of Python is a series of five books by the Monty Python team, in which each of the surviving members selects their favourite material from the group’s TV series, films, records and books. [1] The first two volumes, by Terry Jones and John Cleese, were released in 1999 as part of the team’s 30th anniversary ...
Mojo is a programming language in the Python family that is currently under development. [2] [3] [4] It is available both in browsers via Jupyter notebooks, [4] [5] and locally on Linux and macOS. [6] [7] Mojo aims to combine the usability of higher level programming languages, specifically Python, with the performance of lower level ...
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. 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 ...
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...
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