Python for Scientists, John M. Stewart

Автор: Stewart, John M. (university Of Cambridge) Mommert, Michael (universitat St Gallen, Switzerland)
Название: Python for scientists
ISBN: 1009014803 ISBN-13(EAN): 9781009014809
Издательство: Cambridge Academ
Цена: 5067 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: The third edition of this practical introduction to Python has been thoroughly updated, with all code migrated to Jupyter notebooks. The notebooks are available online with executable versions of all of the book's content (and more). The text starts with a detailed introduction to the basics of the Python language, without assuming any prior knowledge. Building upon each other, the most important Python packages for numerical math (NumPy), symbolic math (SymPy), and plotting (Matplotlib) are introduced, with brand new chapters covering numerical methods (SciPy) and data handling (Pandas). Further new material includes guidelines for writing efficient Python code and publishing code for other users. Simple and concise code examples, revised for compatibility with Python 3, guide the reader and support the learning process throughout the book. Readers from all of the quantitative sciences, whatever their background, will be able to quickly acquire the skills needed for using Python effectively.

Автор: Harrop
Название: F# for Scientists
ISBN: 0470242116 ISBN-13(EAN): 9780470242117
Издательство: Wiley
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Цена: 13931 р.
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Описание: This book covers introductory material in the areas of functional programming,. NET and scientific computing. It covers the basic syntax and main aspects of the language without in depth computer science, making the information as accessible as possible and providing practically-important and enlightening examples.

Автор: Miller
Название: Numerical Analysis for Engineers and Scientists
ISBN: 1107021081 ISBN-13(EAN): 9781107021082
Издательство: Cambridge Academ
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Цена: 10136 р.
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Описание: Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.