000			02597 a2200253 4500
005			20250416171042.0
008			240426b2022|||||||| |||| 00| 0 eng d
020			_a9781108701129
041			_aEnglish
082			_a005.133 W45
100			_aWei-Bing Lin, Johnny _eAuthor _93921
100			_aAizenman, Hannah _eCo-Author _93922
100			_aEspinel, Erin Manette Cartas _eCo-Author _93929
100			_aGunnerson, Kim _eCo-Author _93930
100			_aLiu, Joanne _eCo-Author _93931
245			_aAn introduction to python programming for scientists and engineers
260			_bCambridge University Press, _c2022. _aUnited Kingdom:
300			_axxx, 735p,; 23cms.
500			_aPython 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. Deviates and improves upon the traditional computer science-centric approach of teaching Python to science and engineering students Chapters lead with practical examples from across the sciences and engineering, helping students connect programming tools with real tasks Concepts are introduced across multiple chapters, allowing readers to engage with topics numerous times 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 Online digital resources include numerous Jupyter notebooks, 'Try This!' exercises, student homework problems, and solutions for course instructors
650			_aPython (Computer program language) _93923
650			_aComputer programming _9190
650			_aEngineering _xData processing _93924
942			_cBK
999			_c1156 _d1156