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File:Non-Programmer's Tutorial for Python 3.pdf. Size of this JPG preview of this PDF file: 423 × 599 pixels. Other resolutions: 169 × 240 pixels | 339 × 480 pixels | 542 × 768 pixels | 1,239 × 1,754 pixels. This is a file from the Wikimedia Commons. Information from its description page there is shown below.
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects ). [72]
Pydoc. Pydoc is the standard documentation module for the programming language Python. Similar to the functionality of Perldoc within Perl and Javadoc within Java, Pydoc allows Python programmers to access Python's documentation help files, generate text and HTML pages with documentation specifics, and find the appropriate module for a ...
Python syntax and semantics. A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java ...
English: PDF version of Non-Programmer's Tutorial for Python 2.6 This file was created with MediaWiki to LaTeX . The LaTeX source code is attached to the PDF file (see imprint).
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.
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 ...
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]
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