Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1379
Title: Introduction to Python for Engineers and Scientists
Other Titles: Open Source Solutions for Numerical Computation /
Authors: Nagar, Sandeep. ;
subject: Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer Science;Python. ;;Programming Techniques;Programming Languages and Compilers and Interpreters
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: Familiarize yourself withethe basics of Python for engineering and scientific computationseusing this concise, practical tutorial that is focused on writing code to learn concepts.eIntroduction to Pythoneis useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First youeell see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.e You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops. ;
Description: 
QA76
SpringerLink (Online service) ;
Printed edition: ; 9781484232033. ;




URI: http://localhost/handle/Hannan/1379
ISBN: 9781484232040 ;
9781484232033 (print) ;
More Information: XVII, 254 p. 30 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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Title: Introduction to Python for Engineers and Scientists
Other Titles: Open Source Solutions for Numerical Computation /
Authors: Nagar, Sandeep. ;
subject: Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer Science;Python. ;;Programming Techniques;Programming Languages and Compilers and Interpreters
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: Familiarize yourself withethe basics of Python for engineering and scientific computationseusing this concise, practical tutorial that is focused on writing code to learn concepts.eIntroduction to Pythoneis useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First youeell see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.e You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops. ;
Description: 
QA76
SpringerLink (Online service) ;
Printed edition: ; 9781484232033. ;




URI: http://localhost/handle/Hannan/1379
ISBN: 9781484232040 ;
9781484232033 (print) ;
More Information: XVII, 254 p. 30 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484232033.pdf2.97 MBAdobe PDFThumbnail
Preview File
Title: Introduction to Python for Engineers and Scientists
Other Titles: Open Source Solutions for Numerical Computation /
Authors: Nagar, Sandeep. ;
subject: Computer Science;Computer Programming;Programming Languages and Electronic Computers;Computer Science;Python. ;;Programming Techniques;Programming Languages and Compilers and Interpreters
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: Familiarize yourself withethe basics of Python for engineering and scientific computationseusing this concise, practical tutorial that is focused on writing code to learn concepts.eIntroduction to Pythoneis useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First youeell see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts.e You will: Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops. ;
Description: 
QA76
SpringerLink (Online service) ;
Printed edition: ; 9781484232033. ;




URI: http://localhost/handle/Hannan/1379
ISBN: 9781484232040 ;
9781484232033 (print) ;
More Information: XVII, 254 p. 30 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484232033.pdf2.97 MBAdobe PDFThumbnail
Preview File