國立虎尾科技大學 |

Beginning Julia programming = for engineers and scientists /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Beginning Julia programming/ by Sandeep Nagar.
其他題名:	for engineers and scientists /
作者:	Nagar, Sandeep.
出版者:	Berkeley, CA :Apress : : 2017.,
面頁冊數:	xxi, 351 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Julia (Computer program language) -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3171-5
ISBN:	9781484231715

Beginning Julia programming = for engineers and scientists /
Nagar, Sandeep.

Beginning Julia programmingfor engineers and scientists /[electronic resource] :by Sandeep Nagar. - Berkeley, CA :Apress :2017. - xxi, 351 p. :ill., digital ;24 cm.

1. Introduction -- 2. Object Oriented Programming -- 3. Basic Mathematics with Julia -- 4. Complex Numbers -- 5. Rational and Irrational numbers -- 6. Mathematical Functions -- 7.Arrays -- 8. Arrays for Matrix Operations -- 9. Strings -- 10. Functions -- 11. Control Flow -- 12. Input Output -- 13. Plotting.

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or Stata combined with the speed, capacity, and performance of C, C++, or Java. You'll learn the OOP principles required to get you started, then how to do basic mathematics with Julia. Other core functionality of Julia that you'll cover, includes working with complex numbers, rational and irrational numbers, rings, and fields. Beginning Julia Programming takes you beyond these basics to harness Julia's powerful features for mathematical functions in Julia, arrays for matrix operations, plotting, and more. Along the way, you also learn how to manage strings, write functions, work with control flows, and carry out I/O to implement and leverage the mathematics needed for your data science and analysis projects. "Julia walks like Python and runs like C". This phrase explains why Julia is quickly growing as the most favored option for data analytics and numerical computation. After reading and using this book, you'll have the essential knowledge and skills to build your first Julia-based application. You will: Obtain core skills in Julia Apply Julia in engineering and science applications Work with mathematical functions in Julia Use arrays, strings, functions, control flow, and I/O in Julia Carry out plotting and display basic graphics.

ISBN: 9781484231715

Standard No.: 10.1007/978-1-4842-3171-5doiSubjects--Topical Terms:

1197675
Julia (Computer program language)

LC Class. No.: QA76.73.J8

Dewey Class. No.: 005.133

Beginning Julia programming = for engineers and scientists /
LDR:02851nam a2200337 a 4500 001 922240
003 DE-He213
005 20180529171510.0
006 m d
007 cr nn 008maaau
008 190624s2017 cau s 0 eng d
020 $a 9781484231715 $q (electronic bk.)
020 $a 9781484231708 $q (paper)
024 7 $a 10.1007/978-1-4842-3171-5 $2 doi
035 $a 978-1-4842-3171-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.J8
072 7 $a UMX $2 bicssc
072 7 $a UMC $2 bicssc
072 7 $a COM051010 $2 bisacsh
072 7 $a COM010000 $2 bisacsh
082 0 4 $a 005.133 $2 23
090 $a QA76.73.J8 $b N147 2017
100 1 $a Nagar, Sandeep. $3 1197674
245 1 0 $a Beginning Julia programming $h [electronic resource] : $b for engineers and scientists / $c by Sandeep Nagar.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2017.
300 $a xxi, 351 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction -- 2. Object Oriented Programming -- 3. Basic Mathematics with Julia -- 4. Complex Numbers -- 5. Rational and Irrational numbers -- 6. Mathematical Functions -- 7.Arrays -- 8. Arrays for Matrix Operations -- 9. Strings -- 10. Functions -- 11. Control Flow -- 12. Input Output -- 13. Plotting.
520 $a Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or Stata combined with the speed, capacity, and performance of C, C++, or Java. You'll learn the OOP principles required to get you started, then how to do basic mathematics with Julia. Other core functionality of Julia that you'll cover, includes working with complex numbers, rational and irrational numbers, rings, and fields. Beginning Julia Programming takes you beyond these basics to harness Julia's powerful features for mathematical functions in Julia, arrays for matrix operations, plotting, and more. Along the way, you also learn how to manage strings, write functions, work with control flows, and carry out I/O to implement and leverage the mathematics needed for your data science and analysis projects. "Julia walks like Python and runs like C". This phrase explains why Julia is quickly growing as the most favored option for data analytics and numerical computation. After reading and using this book, you'll have the essential knowledge and skills to build your first Julia-based application. You will: Obtain core skills in Julia Apply Julia in engineering and science applications Work with mathematical functions in Julia Use arrays, strings, functions, control flow, and I/O in Julia Carry out plotting and display basic graphics.
650 0 $a Julia (Computer program language) $3 1197675
650 1 4 $a Computer Science. $3 593922
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Mathematical Logic and Formal Languages. $3 670059
650 2 4 $a Big Data. $3 1017136
650 2 4 $a Programming Techniques. $3 669781
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-1-4842-3171-5
950 $a Professional and Applied Computing (Springer-12059)