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Scientific Computing In PYTHON (English Version) 4th Edition

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Scientific Computing In PYTHON (English Version) 4th Edition

Book Details:-

Author: Abhijit Kar Gupta
Pages: 670
Publisher: Techno World
Language: English
Edition: 4th Edition
ISBN: 9789389314656
Format: Paperback

About the Book:-
This book provides a comprehensive yet accessible introduction to Python for scientific computing, ideal for students, research scholars, and professionals in science and engineering. Written in clear language, it explains fundamental concepts with supporting example scripts and graphical demonstrations, requiring no prior programming experience.

The content is structured into four major sections:

  1. Core Python – foundational programming skills.
  2. Computation with external packages – including NumPy, SciPy, Matplotlib, SymPy, and Pandas.
  3. Applications in science – practical use of numerical methods.
  4. Special topics – covering quantum mechanics, statistical mechanics, and additional explorations.

The material is based on the author’s extensive teaching experience at undergraduate and postgraduate levels, as well as workshops, seminars, and short courses conducted at universities, colleges, and research institutes. This edition serves as a complete guide for anyone aiming to master scientific computing using Python.

$8.06
Scientific Computing In PYTHON (English Version) 4th Edition
$8.06

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Description

Book Details:-

Author: Abhijit Kar Gupta
Pages: 670
Publisher: Techno World
Language: English
Edition: 4th Edition
ISBN: 9789389314656
Format: Paperback

About the Book:-
This book provides a comprehensive yet accessible introduction to Python for scientific computing, ideal for students, research scholars, and professionals in science and engineering. Written in clear language, it explains fundamental concepts with supporting example scripts and graphical demonstrations, requiring no prior programming experience.

The content is structured into four major sections:

  1. Core Python – foundational programming skills.
  2. Computation with external packages – including NumPy, SciPy, Matplotlib, SymPy, and Pandas.
  3. Applications in science – practical use of numerical methods.
  4. Special topics – covering quantum mechanics, statistical mechanics, and additional explorations.

The material is based on the author’s extensive teaching experience at undergraduate and postgraduate levels, as well as workshops, seminars, and short courses conducted at universities, colleges, and research institutes. This edition serves as a complete guide for anyone aiming to master scientific computing using Python.

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