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Methods may also be designed public, private, or intermediate levels such as protected (which allows access from the same class and its subclasses, but not objects of a different class). [44] In other languages (like Python) this is enforced only by convention (for example, private methods may have names that start with an underscore ).
Peters' list left open a 20th principle "for Guido to fill in", referring to Guido van Rossum, the original author of the Python language. The vacancy for a 20th principle has not been filled. Peters' Zen of Python was included as entry number 20 in the language's official Python Enhancement Proposals and was released into the public domain. [4]
Private (or class-private) restricts access to the class itself. Only methods that are part of the same class can access private members. Protected (or class-protected) allows the class itself and all its subclasses to access the member. Public means that any code can access the member by its name.
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. [3]
Nuitka compiles Python into C. [164] It works with Python 3.4 to 3.12 (and 2.6 and 2.7), for Python's main supported platforms (and Windows 7 or even Windows XP) and for Android. It claims complete support for Python 3.10, some support for 3.11 and 3.12 and experimental support for Python 3.13. It supports macOS including Apple Silicon-based.
It is known as the "Wizard Book" in hacker culture. [1] It teaches fundamental principles of computer programming, including recursion, abstraction, modularity, and programming language design and implementation. MIT Press published the first edition in 1984, and the second edition in
Python properties may be used to allow a method to be invoked with the same syntax as accessing an attribute. Whereas Meyer's UAP would have a single notation for both attribute access and method invocation (method invocation syntax), a language with support for properties still supports separate notations for attribute and method access.
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})