An introduction to python programming for scientists and engineers (Record no. 1156)

MARC details
000 -LEADER
fixed length control field 02597 a2200253 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250416171042.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781108701129
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133 W45
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Wei-Bing Lin, Johnny
Relator term Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Aizenman, Hannah
Relator term Co-Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Espinel, Erin Manette Cartas
Relator term Co-Author
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Personal name Gunnerson, Kim
Relator term Co-Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Liu, Joanne
Relator term Co-Author
245 ## - TITLE STATEMENT
Title An introduction to python programming for scientists and engineers
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Cambridge University Press,
Year of publication 2022.
Place of publication United Kingdom:
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxx, 735p,; 23cms.
500 ## - GENERAL NOTE
General note 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.<br/><br/>Deviates and improves upon the traditional computer science-centric approach of teaching Python to science and engineering students<br/>Chapters lead with practical examples from across the sciences and engineering, helping students connect programming tools with real tasks<br/>Concepts are introduced across multiple chapters, allowing readers to engage with topics numerous times<br/>Introduces software engineering tools and the best-practices used by professional developers in Part IV, to prepare students for writing their own high-quality code<br/>Online digital resources include numerous Jupyter notebooks, 'Try This!' exercises, student homework problems, and solutions for course instructors
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer programming
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Engineering
General subdivision Data processing
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
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