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Learn the rules and features of Python programming language, such as keywords, indentation, data structures, and error handling. Compare Python with other languages ...
Python is a high-level, general-purpose programming language that emphasizes code readability and supports multiple paradigms. It was created by Guido van Rossum in the late 1980s and has gained widespread use in the machine learning community.
The Zen of Python is a collection of 19 guiding principles for writing Python programs, such as "Beautiful is better than ugly" and "There should be one-- and preferably only one --obvious way to do it". Learn the origin, meaning, and usage of these principles, and how they influence the design and style of the Python language.
Syntax is the rules that define the combinations of symbols that are correctly structured statements or expressions in a computer language. Learn about the levels of syntax, the tools for parsing and contextual analysis, and the examples of errors.
NumPy is a library for the Python programming language that adds support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions. It is open-source, cross-platform, and compatible with many other scientific and engineering packages.
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. Learn about the origins, languages, and properties of programming, as well as related terms and concepts.
spaCy is a Python-based software library for advanced natural language processing, with support for deep learning and custom models. Learn about its history, features, extensions and documentation on the official website.
A high-level programming language is a language with strong abstraction from the details of the computer. It may use natural language elements, be easier to use, or automate significant areas of computing systems. Learn about the history, features, and examples of high-level languages.