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Numerical Python In Astronomy And Astrophysics A Practical Guide To Astrophysical Problem Solving Undergraduate Lecture Notes In Physics 1st Ed 2021 Wolfram Schmidt

  • SKU: BELL-33555710
Numerical Python In Astronomy And Astrophysics A Practical Guide To Astrophysical Problem Solving Undergraduate Lecture Notes In Physics 1st Ed 2021 Wolfram Schmidt
$ 31.00 $ 45.00 (-31%)

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Numerical Python In Astronomy And Astrophysics A Practical Guide To Astrophysical Problem Solving Undergraduate Lecture Notes In Physics 1st Ed 2021 Wolfram Schmidt instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 6.95 MB
Pages: 260
Author: Wolfram Schmidt, Marcel Völschow
ISBN: 9783030703462, 3030703460
Language: English
Year: 2021
Edition: 1st ed. 2021

Product desciption

Numerical Python In Astronomy And Astrophysics A Practical Guide To Astrophysical Problem Solving Undergraduate Lecture Notes In Physics 1st Ed 2021 Wolfram Schmidt by Wolfram Schmidt, Marcel Völschow 9783030703462, 3030703460 instant download after payment.

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.

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