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"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 quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targeted package for students requiring a solid foundation in Python programming"--
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Previews available in: English
Subjects
Science, Python (Computer program language), Data processing, Mathematics, Science, data processing, Science, mathematics, SCIENCE / Mathematical Physics, Python (computer program language), Sciences, Informatique, Mathématiques, Python (Langage de programmation), SCIENCE, Mathematical Physics, Wissenschaftliches Rechnen, PythonShowing 2 featured editions. View all 2 editions?
Edition | Availability |
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1
Learning Scientific Programming with Python
2020, University of Cambridge ESOL Examinations
in English
1108745911 9781108745918
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2
Learning scientific programming with Python
2015, Cambridge University Press
in English
1107075416 9781107075412
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Libraries near you:
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Book Details
Table of Contents
Edition Notes
Includes index.
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July 19, 2019 | Created by MARC Bot | import new book |