TY  - GEN
AU  - Wei-Bing Lin, Johnny
AU  - Aizenman, Hannah
AU  - Espinel, Erin Manette Cartas
AU  - Gunnerson, Kim
AU  - Liu, Joanne
TI  - An introduction to python programming for scientists and engineers
SN  - 9781108701129
U1  - 005.133 W45 
PY  - 2022///
CY  - United Kingdom
PB  - Cambridge University Press
KW  - Python (Computer program language)
KW  - Computer programming
KW  - Engineering
KW  - Data processing
N1  - 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.

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
ER  -