An Introduction to Python Programming for Scientists and Engineers
β Scribed by Johnny Wei-Bing Lin, Hannah Aizenman, Erin Manette Cartas Espinel, Kim Gunnerson, Joanne Liu
- Publisher
- Cambridge University Press
- Year
- 2022
- Tongue
- English
- Leaves
- 766
- Edition
- New
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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. βTry This!β 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.
π SIMILAR VOLUMES
<span>An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.</span><span><br><br></span><span>Python Tools for Scientists</span><span> introduces readers to th
This text introduces the C programming language using a range of engineering and science applications in the examples and exercises. The book assumes no programming experience and is suitable for an introduction to programming course (using C instead of Fortran or Pascal). Structured programming pri
This text introduces the C programming language using a range of engineering and science applications in the examples and exercises. The book assumes no programming experience and is suitable for an introduction to programming course (using C instead of Fortran or Pascal). Structured programming pri
Python Tools for Scientists introduces you to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming exper
<p><span>Over the past two decades, Python has become the de facto standard language of data science both in industry and astronomy (with the exception of simulations and other extreme scale computing problems). This course text is a full introduction to programming in Python with an explicit focus