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      Numerical Python in Astronomy and Astrophysics: A Practical Guide to Astrophysical Problem Solving

      3 in stock

      Firm sale: non returnable item
      SKU 9783030703462 Categories ,
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      This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics.
      This book provides a solid foundation in the Python programming language, numerical methods, and da...

      £49.99

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      Description

      Product ID:9783030703462
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Series:Undergraduate Lecture Notes in Physics
      Title:Numerical Python in Astronomy and Astrophysics
      Subtitle:A Practical Guide to Astrophysical Problem Solving
      Authors:Author: Marcel Volschow, Wolfram Schmidt
      Page Count:250
      Subjects:Numerical analysis, Numerical analysis, Astronomy, space and time, Mathematical physics, Programming and scripting languages: general, Astronomy, space & time, Mathematical physics, Programming & scripting languages: general
      Description:Select Guide Rating
      This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics.
      This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics. It not only enables students to learn programming with the aid of examples from these fields but also provides ample motivation for engagement in independent research. The book opens by outlining the importance of computational methods and programming algorithms in contemporary astronomical and astrophysical research, showing why programming in Python is a good choice for beginners. The performance of basic calculations with Python is then explained with reference to, for example, Kepler''s laws of planetary motion and gravitational and tidal forces. Here, essential background knowledge is provided as necessary. Subsequent chapters are designed to teach the reader to define and use important functions in Python and to utilize numerical methods to solve differential equations and landmark dynamical problems in astrophysics. Finally, the analysis of astronomical data is discussed, with various hands-on examples as well as guidance on astronomical image analysis and applications of artificial neural networks.
      Imprint Name:Springer Nature Switzerland AG
      Publisher Name:Springer Nature Switzerland AG
      Country of Publication:GB
      Publishing Date:2021-07-15

      Additional information

      Weight406 g
      Dimensions156 × 235 × 18 mm