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Mahsulot #:
36476331
Texts in Computational Science and Engin Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6, Book
94% of respondents would recommend this to a friend
Mahsulot #:
36476331
UZS 1037192
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This book presents computer programming as a key method for solving mathematical problems.
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What Stands Out
Gentle Introduction
Offers a clear and accessible approach to programming with Python 3.6, making it suitable for beginners and those new to numerical simulations.
Focused Content
Concentrates on practical applications in computational science, providing real-world examples that help readers grasp complex concepts effectively.
Comprehensive Guide
Covers essential programming techniques and numerical methods, equipping users with tools necessary to tackle a wide range of computational problems.
Mahsulot tafsilotlari
- Published open access under a CC BY 4.0 license.
- Revised edition with all code written in Python 3.6.
- Introduction to programming expanded from 50 to 150 pages.
- More detailed explanations, modified examples, and new sections added.
- Inspired by TCSE 6 but more accessible and concise.
- Teaches programming skills for solving mathematical problems in engineering and science courses.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | November, 2019 |
| Pages | 332 |
| Subgenre | Computer Science |
| Series title | Texts in Computational Science and Engineering |
| Number in series | 15 |
| Edition | 2nd 2020 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Engineering |
| Educational level | General |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.81 x 10.00 in (17.8 x 2.1 x 25.4 cm) |
| Assembled product weight | 1.84 lb (830 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Programmers
Ideal for those new to programming who want an accessible introduction to Python for scientific computations.
-
Students in Science
Great resource for students in engineering or science fields needing numerical simulations and computational problem-solving skills.
-
Educators and Instructors
Useful for teachers seeking a straightforward text to guide students through the basics of Python programming.
-
Advanced Programmers
Not suitable for experienced programmers seeking advanced concepts or in-depth programming techniques beyond the basics.
MAHSULOT TAVSIFI
Texts in Computational Science and Engin Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python 3.6, Book 15, (Hardcover)
About This Item
Introducing "Texts in Computational Science and Engineering: Programming for Computations - Python : A Gentle Introduction to Numerical Simulations with Python 3.6 Series #15 Edition 2 Hardcover" Are you looking to explore the world of computational science and engineering using Python? Look no further! "Texts in Computational Science and Engineering: Programming for Computations - Python : A Gentle Introduction to Numerical Simulations with Python 3.6 Series #15 Edition 2 Hardcover" is an essential resource written by Svein Linge and Hans Petter Langtangen, designed to guide you through the fundamentals of programming and numerical simulations in Python. ISBN: 9783030168766 Format: Hardcover Publication Date: 2019-12-08 Whether you're a student, researcher, or professional in the field, this book provides a comprehensive introduction to Python programming for computational science and engineering. With this second edition, you'll benefit from the latest insights and examples to enhance your knowledge and skills. With "Texts in Computational Science and Engineering: Programming for Computations - Python : A Gentle Introduction to Numerical Simulations with Python 3.6 Series #15 Edition 2 Hardcover," you'll gain a strong foundation in harnessing Python for numerical simulations in various scientific and engineering domains. Here are some of the keywords we target to help you find this valuable resource: - Computational science and engineering - Python numerical simulations - Python simulations in science and engineering - Numerical simulations in computational science - Engineering simulations with Python - Python for computational science - Numerical simulations with Python in engineering - Python in scientific simulations - Computational science with Python - Python for engineering simulations - Numerical simulations in Python - Python in computational engineering - Scientific simulations with Python - Computational engineering with Python - Python for scientific simulations - Numerical simulations using Python - Python for computational engineering - Scientific simulations using Python - Computational science using Python - Engineering simulations using Python - Python in numerical simulations - Numerical Python simulations in engineering - Computational science and engineering with Python - Python for numerical simulations in engineering - Scientific simulations in computational science - Python for simulations in science and engineering - Numerical simulations in scientific computing with Python - Python in engineering and scientific simulations - Computational engineering and science with Python - Python for numerical simulations in computational science - Scientific computing simulations with Python Don't miss out on this invaluable resource! Purchase your copy of "Texts in Computational Science and Engineering: Programming for Computations - Python : A Gentle Introduction to Numerical Simulations with Python 3.6 Series #15 Edition 2 Hardcover" today and embark on a journey of mastering computational science and engineering using Python.
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UZS 1037192
Hoziroq buyurtma bering va oling Shanba, Oktyabr 17
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Xususiyatlar va Afzalliklar
- Extensively revised and written in Python version 3.6
- Introduction to programming expanded from 50 to 150 pages
- More detailed explanations, modified examples, and new sections added
- Inspired by TCSE 6: A Primer on Scientific Programming with Python
- Emphasis on generic algorithms, clean program design, and automatic tests
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