Binding: Paperback
Description: Learn to master basic programming tasks from scratch with real - life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast - paced introduction moves from the basics to advanced concepts in one complete volume enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language and moving on to the Num Py Sci Py and Matplotlib libraries for numerical programming and data visualization this textbook also discusses the use of Jupyter Notebooks to build rich - media shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates and new exercises and examples. A final chapter introduces more advanced topics such as floating - point precision and algorithm stability and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.
Title: Learning Scientific Programming With Python
Author(s): Hill Christian
Publisher: Cambridge University Press
Barcode: 9781108745918
Pages: 568 Pages, Worked Examples Or Exercises
Publication Date: 12/10/2020
Category: Programming & Scripting Languages: General