東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Physics with Excel and Python = usin...

Mergel, Dieter.

Linked to FindBook

Google Book

Amazon

博客來

Physics with Excel and Python = using the same data structure.. Volume I,. Basics, exercises and tasks /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Physics with Excel and Python/ by Dieter Mergel.
Reminder of title:	using the same data structure.
remainder title:	Basics, exercises and tasks
Author:	Mergel, Dieter.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 482 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1 Introduction: What do you need, what do you learn -- 2 Sets of curves -- 3 Networks of formulas -- 4 Macros -- 5 Basic mathematical techniques -- 6 Superposition of motions -- 7 Random numbers and random number generators -- 8 Evaluation of measurements -- 9 Trend curves -- 10 Integration of Newton's equation of motion.
Contained By:	Springer Nature eBook
Subject:	Physics - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-82325-2
ISBN:	9783030823252

Physics with Excel and Python = using the same data structure.. Volume I,. Basics, exercises and tasks /
Mergel, Dieter.

Physics with Excel and Pythonusing the same data structure.Volume I,Basics, exercises and tasks /[electronic resource] :Basics, exercises and tasksby Dieter Mergel. - Cham :Springer International Publishing :2022. - xvii, 482 p. :ill. (some col.), digital ;24 cm.

1 Introduction: What do you need, what do you learn -- 2 Sets of curves -- 3 Networks of formulas -- 4 Macros -- 5 Basic mathematical techniques -- 6 Superposition of motions -- 7 Random numbers and random number generators -- 8 Evaluation of measurements -- 9 Trend curves -- 10 Integration of Newton's equation of motion.

This book is intended to serve as a basic introduction to scientific computing by treating problems from various areas of physics - mechanics, optics, acoustics, and statistical reasoning in the context of the evaluation of measurements. After working through these examples, students are able to independently work on physical problems that they encounter during their studies. For every exercise, the author introduces the physical problem together with a data structure that serves as an interface to programming in Excel and Python. When a solution is achieved in one application, it can easily be translated into the other one and presumably any other platform for scientific computing. This is possible because the basic techniques of vector and matrix calculation and array broadcasting are also achieved with spreadsheet techniques, and logical queries and for-loops operate on spreadsheets from simple Visual Basic macros. So, starting to learn scientific calculation with Excel, e.g., at High School, is a targeted road to scientific computing. The primary target groups of this book are students with a major or minor subject in physics, who have interest in computational techniques and at the same time want to deepen their knowledge of physics. Math, physics and computer science teachers and Teacher Education students will also find a companion in this book to help them integrate computer techniques into their lessons. Even professional physicists who want to venture into Scientific Computing may appreciate this book.

ISBN: 9783030823252

Standard No.: 10.1007/978-3-030-82325-2doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

534167
Physics
--Data processing.

LC Class. No.: QC52

Dewey Class. No.: 530.0285

Physics with Excel and Python = using the same data structure.. Volume I,. Basics, exercises and tasks /
LDR:02993nmm a2200349 a 4500 001 2307095
003 DE-He213
005 20221222214531.0
006 m d
007 cr nn 008maaau
008 230421s2022 sz s 0 eng d
020 $a 9783030823252 $q (electronic bk.)
020 $a 9783030823245 $q (paper)
024 7 $a 10.1007/978-3-030-82325-2 $2 doi
035 $a 978-3-030-82325-2
040 $a GP $c GP
041 1 $a eng $h ger
050 4 $a QC52
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 530.0285 $2 23
090 $a QC52 $b .M559 2022
100 1 $a Mergel, Dieter. $3 3611997
240 1 0 $a Physik mit Excel und Visual Basic. $l English
245 1 0 $a Physics with Excel and Python $h [electronic resource] : $b using the same data structure. $n Volume I, $p Basics, exercises and tasks / $c by Dieter Mergel.
246 3 0 $a Basics, exercises and tasks
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xvii, 482 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1 Introduction: What do you need, what do you learn -- 2 Sets of curves -- 3 Networks of formulas -- 4 Macros -- 5 Basic mathematical techniques -- 6 Superposition of motions -- 7 Random numbers and random number generators -- 8 Evaluation of measurements -- 9 Trend curves -- 10 Integration of Newton's equation of motion.
520 $a This book is intended to serve as a basic introduction to scientific computing by treating problems from various areas of physics - mechanics, optics, acoustics, and statistical reasoning in the context of the evaluation of measurements. After working through these examples, students are able to independently work on physical problems that they encounter during their studies. For every exercise, the author introduces the physical problem together with a data structure that serves as an interface to programming in Excel and Python. When a solution is achieved in one application, it can easily be translated into the other one and presumably any other platform for scientific computing. This is possible because the basic techniques of vector and matrix calculation and array broadcasting are also achieved with spreadsheet techniques, and logical queries and for-loops operate on spreadsheets from simple Visual Basic macros. So, starting to learn scientific calculation with Excel, e.g., at High School, is a targeted road to scientific computing. The primary target groups of this book are students with a major or minor subject in physics, who have interest in computational techniques and at the same time want to deepen their knowledge of physics. Math, physics and computer science teachers and Teacher Education students will also find a companion in this book to help them integrate computer techniques into their lessons. Even professional physicists who want to venture into Scientific Computing may appreciate this book.
630 0 0 $a Microsoft Excel (Computer file) $3 543656 $3 543656
650 0 $a Physics $x Data processing. $3 534167
650 0 $a Python (Computer program language) $3 729789
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-82325-2
950 $a Physics and Astronomy (SpringerNature-11651)