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- Python Programming and Numerical Methods: A G...

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language.
Python Programming and Numerical Methods: A Guide for Engineers and Scientists
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Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language.
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Produkta informācija
| Publisher | Academic Press |
| Publication date | December 16, 2020 |
| Edition | 1st |
| Language | English |
| Print length | 480 pages |
| ISBN-10 | 0128195495 |
| ISBN-13 | 978-0128195499 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.52 x 1.09 x 9.25 inches (19.1 x 2.8 x 23.5 cm) |
Who Should Buy?
-
Beginners in Programming
Ideal for those new to programming, offering foundational concepts in Python for clear understanding.
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Students in STEM
Perfect for students studying science, technology, engineering, and mathematics that require numerical methods with programming.
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Professionals Upskilling
Great for industry professionals looking to enhance their coding skills and apply numerical methods practically.
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Advanced Programmers
Not suitable for users with extensive programming experience who require more advanced or specialized content.
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Python Programming and Numerical Methods: A Guide for Engineers and Scientists
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Object-Oriented Design Editorial Review
Python Programming and Numerical Methods: A Guide for Engineers and Scientists is a comprehensive resource tailored for both beginners and experienced programmers, providing extensive material on Python and its application in numerical methods. The book, published by Academic Press, spans 480 pages and offers valuable insights into scientific computing, although users have noted that the code snippets are printed in a light gray that makes them difficult to read. Additionally, while the content is highly regarded, there are suggestions for improvements such as incorporating more worked-out numerical examples and using openpyxl for Excel integration. Despite its flaws in design and print quality, the book remains a solid foundation for learning computational engineering techniques.
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Pros
- Extensive coverage of Python programming
- Useful for beginners and experienced programmers
- In-depth material on numerical methods
- High-quality content despite design flaws
- Valuable for scientific computing applications
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Funkcijas un priekšrocības
- Introduces programming tools and numerical methods
- Aims to help students develop computational problem-solving techniques through Python
- Part One covers fundamental programming concepts
- Part Two covers algorithms and numerical analysis
- Tips and warnings included in each chapter to develop good programming practice
- Code provided in Jupyter notebook format for online use
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