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Название: Python Arithmetic: The Informational Nature of Numbers
Автор: Vincenzo Manca
Издательство: Springer
Год: 2024
Страниц: 110
Язык: английский
Формат: pdf (true), epub
Размер: 17.8 MB
The book is a gentle introduction to Python using arithmetic, and vice versa, with a historical perspective encompassing programming languages within the wider process of development of mathematical notation. The revisitation of typical algorithms that are the core of elementary mathematical knowledge helps to grasp their essence and to clarify some assumptions that are often taken for granted but are very profound and of a very general nature. Since the numerals are finite expressions of digits, their lengths increase along their generation. In the next chapter, Python is briefly introduced by linking this language to standard mathematical notation, which took its current form throughout a long process that extends from the introduction of decimal numerals to the eighteenth century, particularly within Euler’s notational and conceptual framework. The third chapter is devoted to counting algorithms, showing that something that is usually taken for granted has intriguing aspects that deserve a very subtle analysis: the authors will show that the Python representation of counting algorithms is very informative and demonstrates the informational nature of numbers. In conclusion, “Python Arithmetic”, is a reflection on the deep connection between programming, arithmetic and logic. The book provides concrete examples, suggesting the importance of mathematical tradition for a deep understanding of the main ideas underlying the most modern information technology.
Автор: Vincenzo Manca
Издательство: Springer
Год: 2024
Страниц: 110
Язык: английский
Формат: pdf (true), epub
Размер: 17.8 MB
The book is a gentle introduction to Python using arithmetic, and vice versa, with a historical perspective encompassing programming languages within the wider process of development of mathematical notation. The revisitation of typical algorithms that are the core of elementary mathematical knowledge helps to grasp their essence and to clarify some assumptions that are often taken for granted but are very profound and of a very general nature. Since the numerals are finite expressions of digits, their lengths increase along their generation. In the next chapter, Python is briefly introduced by linking this language to standard mathematical notation, which took its current form throughout a long process that extends from the introduction of decimal numerals to the eighteenth century, particularly within Euler’s notational and conceptual framework. The third chapter is devoted to counting algorithms, showing that something that is usually taken for granted has intriguing aspects that deserve a very subtle analysis: the authors will show that the Python representation of counting algorithms is very informative and demonstrates the informational nature of numbers. In conclusion, “Python Arithmetic”, is a reflection on the deep connection between programming, arithmetic and logic. The book provides concrete examples, suggesting the importance of mathematical tradition for a deep understanding of the main ideas underlying the most modern information technology.