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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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What Stands Out
Toote üksikasjad
- Comprehensive guide for engineers and scientists
- Covers Python programming and numerical methods
- Tailored for engineering and scientific applications
- Includes relevant examples and exercises
- Suitable for 1st edition/first-time readers
- Helps apply Python to solve engineering and scientific problems
| 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.
-
Students in STEM
Perfect for students studying science, technology, engineering, and mathematics that require numerical methods with programming.
-
Professionals Upskilling
Great for industry professionals looking to enhance their coding skills and apply numerical methods practically.
-
Advanced Programmers
Not suitable for users with extensive programming experience who require more advanced or specialized content.
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Omadused ja eelised
- 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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