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Verlag: Cambridge University Press, 2022
ISBN 10: 1108701124 ISBN 13: 9781108701129
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Taschenbuch. Zustand: Neu. Neuware -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 not Elektronisches Buch 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 734 pp. Englisch.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. An Introduction to Python Programming for Scientists and Engineers | Johnny Wei-Bing Lin (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Cambridge University Pr. | EAN 9781108701129 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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In den WarenkorbPaperback. Zustand: Brand New. 735 pages. 9.50x7.50x1.25 inches. In Stock.
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Verlag: Cambridge University Pr. Jul 2022, 2022
ISBN 10: 1108701124 ISBN 13: 9781108701129
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Taschenbuch. Zustand: Neu. Neuware - 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 not Elektronisches Buch 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.
Sprache: Englisch
Verlag: Cambridge University Pr. Jul 2022, 2022
ISBN 10: 1108701124 ISBN 13: 9781108701129
Anbieter: Books-by-Floh, Paderborn, Deutschland
Taschenbuch. Zustand: Neu. Neuware -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 not Elektronisches Buch 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. 734 pp. Englisch.