02763cam a22004218i 4500 21514043 20221205093655.0 m |o d | cr ||||||||||| 200422s2020 nyu ob 001 0 eng 2020017918 9781108778039 (epub) 9781108745918 (paperback) M.Ramzan DLC eng DLC rda pcc Q183.9 005.133 23 HIL Hill, Christian, 1974- author. 104068 Learning scientific programming with Python / Christian Hill. Second edition. 2010 New York : Cambridge University Press, 2020. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. "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"-- Provided by publisher. Description based on print version record and CIP data provided by publisher; resource not viewed. Science Data processing. 21544 Science Mathematics. 10516 Python (Computer program language) Print version: Hill, Christian, 1974- Learning scientific programming with Python Second edition. New York : Cambridge University Press, 2020. 9781108745918 (DLC) 2020017917 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 2nd 592585 592585 0 0 ddc 0 0 NIT NIT 2022-12-05 0 005.133 HIL 13627 2022-12-05 2022-12-05 BK