Name: An Introduction to Python Programming for Scientists and Engineers (en Inglés)
Price: 91.85 USD
Availability: InStock
Author: Lin, Johnny Wei-Bing ; Aizenman, Hannah ; Manette Cartas Espinel, Erin
ISBN: 9781108701129

portada An Introduction to Python Programming for Scientists and Engineers (en Inglés)

An Introduction to Python Programming for Scientists and Engineers (en Inglés)

Formato

Libro Físico

Autor

Johnny Wei-Bing Lin

Hannah Aizenman

Erin Manette Cartas Espinel

Editorial

Cambridge University Press

Idioma

Inglés

N° páginas

766

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 19.1 x 2.9 cm

Peso

1.6

ISBN13

9781108701129

Categorías

Ciencias de la tierra/geociencias
Lenguajes de programación y extensión/scripting: general

An Introduction to Python Programming for Scientists and Engineers (en Inglés)

Johnny Wei-Bing Lin (Autor) · Hannah Aizenman (Autor) · Erin Manette Cartas Espinel (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "An Introduction to Python Programming for Scientists and Engineers (en Inglés)"

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. "Try This!" exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.