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Schmidt, Wolfram 1974- VerfasserIn (DE-588)128948574 (DE-627)386137072 (DE-576)297413708 aut, Numerical python in astronomy and astrophysics a practical guide to astrophysical problem solving Wolfram Schmidt, Marcel Völschow, Cham Springer [2021], x, 250 Seiten Illustrationen, Diagramme, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Undergraduate lecture notes in physics, Chapter 1. Introduction -- Chapter 2. Getting Started with Python -- Chapter 3. Computing and Displaying Data -- Chapter 4. Functions and Numerical Methods -- Chapter 5. Solving Differential Equations -- Chapter 6. Astronomical Data Analysis., 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., Physics., Astronomy., Astrophysics., Python (Computer program language)., Numerical analysis., s (DE-588)4003311-9 (DE-627)106389963 (DE-576)208851119 Astronomie gnd, s (DE-588)4003326-0 (DE-627)106389955 (DE-576)208851135 Astrophysik gnd, s (DE-588)4434275-5 (DE-627)222463988 (DE-576)21240492X Python Programmiersprache gnd, s (DE-588)4128130-5 (DE-627)104653515 (DE-576)209599480 Numerisches Verfahren gnd, (DE-627), Völschow, Marcel VerfasserIn (DE-588)1148042873 (DE-627)1007519290 (DE-576)496169165 aut, 9783030703479 ebook, Erscheint auch als Online-Ausgabe Schmidt, Wolfram, 1974 - Numerical python in astronomy and astrophysics Cham : Springer, 2021 1 Online-Ressource (X, 250 Seiten) (DE-627)1765219019 9783030703479, https://www.gbv.de/dms/tib-ub-hannover/1766617565.pdf V:DE-601 B:DE-89 pdf/application Inhaltsverzeichnis |
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Schmidt, Wolfram, Völschow, Marcel, Numerical python in astronomy and astrophysics: a practical guide to astrophysical problem solving, Chapter 1. Introduction -- Chapter 2. Getting Started with Python -- Chapter 3. Computing and Displaying Data -- Chapter 4. Functions and Numerical Methods -- Chapter 5. Solving Differential Equations -- Chapter 6. Astronomical Data Analysis., 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., Physics., Astronomy., Astrophysics., Python (Computer program language)., Numerical analysis., Astronomie, Astrophysik, Python Programmiersprache, Numerisches Verfahren |
| title |
Numerical python in astronomy and astrophysics: a practical guide to astrophysical problem solving |
| title_auth |
Numerical python in astronomy and astrophysics a practical guide to astrophysical problem solving |
| title_full |
Numerical python in astronomy and astrophysics a practical guide to astrophysical problem solving Wolfram Schmidt, Marcel Völschow |
| title_fullStr |
Numerical python in astronomy and astrophysics a practical guide to astrophysical problem solving Wolfram Schmidt, Marcel Völschow |
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Numerical python in astronomy and astrophysics a practical guide to astrophysical problem solving Wolfram Schmidt, Marcel Völschow |
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Numerical python in astronomy and astrophysics |
| title_sort |
numerical python in astronomy and astrophysics a practical guide to astrophysical problem solving |
| title_sub |
a practical guide to astrophysical problem solving |
| title_unstemmed |
Numerical python in astronomy and astrophysics: a practical guide to astrophysical problem solving |
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Physics., Astronomy., Astrophysics., Python (Computer program language)., Numerical analysis., Astronomie, Astrophysik, Python Programmiersprache, Numerisches Verfahren |
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Physics., Astronomy., Astrophysics., Python (Computer program language)., Numerical analysis., Astronomie, Astrophysik, Python, Numerisches Verfahren |
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