Learning Scientific Programming with Python
by 作者: Christian Hill
Pages 页数: 568 pages
ISBN-13 书号: 9781108745918
ISBN-10 书号: 1108745911
Publisher Finelybook 出版社: Cambridge University Press (12 Nov. 2020)
Language 语言: English
Book 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 NumPy,SciPy 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.
Learning Scientific Programming with Python,2nd Edition 9781108745918.pdf[/erphpdown]
