東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Numerical Python in astronomy and as...

Schmidt, Wolfram.

FindBook

Google Book

Amazon

博客來

Numerical Python in astronomy and astrophysics = a practical guide to astrophysical problem solving /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Numerical Python in astronomy and astrophysics/ by Wolfram Schmidt, Marcel Volschow.
其他題名:	a practical guide to astrophysical problem solving /
作者:	Schmidt, Wolfram.
其他作者:	Volschow, Marcel.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 250 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Astronomy - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-70347-9
ISBN:	9783030703479

Numerical Python in astronomy and astrophysics = a practical guide to astrophysical problem solving /
Schmidt, Wolfram.

Numerical Python in astronomy and astrophysicsa practical guide to astrophysical problem solving /[electronic resource] :by Wolfram Schmidt, Marcel Volschow. - Cham :Springer International Publishing :2021. - x, 250 p. :ill., digital ;24 cm. - Undergraduate lecture notes in physics,2192-4791. - 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.

ISBN: 9783030703479

Standard No.: 10.1007/978-3-030-70347-9doiSubjects--Topical Terms:

816366
Astronomy
--Data processing.

LC Class. No.: QB51.3.E43 / S36 2021

Dewey Class. No.: 522

Numerical Python in astronomy and astrophysics = a practical guide to astrophysical problem solving /
LDR:02545nmm a2200337 a 4500 001 2242378
003 DE-He213
005 20210714140549.0
006 m d
007 cr nn 008maaau
008 211207s2021 sz s 0 eng d
020 $a 9783030703479 $q (electronic bk.)
020 $a 9783030703462 $q (paper)
024 7 $a 10.1007/978-3-030-70347-9 $2 doi
035 $a 978-3-030-70347-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QB51.3.E43 $b S36 2021
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 522 $2 23
090 $a QB51.3.E43 $b S349 2021
100 1 $a Schmidt, Wolfram. $3 2055416
245 1 0 $a Numerical Python in astronomy and astrophysics $h [electronic resource] : $b a practical guide to astrophysical problem solving / $c by Wolfram Schmidt, Marcel Volschow.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a x, 250 p. : $b ill., digital ; $c 24 cm.
490 1 $a Undergraduate lecture notes in physics, $x 2192-4791
505 0 $a 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.
520 $a 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.
650 0 $a Astronomy $x Data processing. $3 816366
650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Numerical and Computational Physics, Simulation. $3 2209853
650 2 4 $a Astronomy, Astrophysics and Cosmology. $3 890823
650 2 4 $a Python. $3 3201289
650 2 4 $a Numeric Computing. $3 892606
700 1 $a Volschow, Marcel. $3 3501489
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Undergraduate lecture notes in physics. $3 1566890
856 4 0 $u https://doi.org/10.1007/978-3-030-70347-9
950 $a Physics and Astronomy (SpringerNature-11651)