Steven Chapra,David Clough
ISE Applied Numerical Methods with Python for Engineers and Scientists
ISE Applied Numerical Methods with Python for Engineers and Scientists
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Excellent- More about ISE Applied Numerical Methods with Python for Engineers and Scientists
Applied Numerical Methods with Python 1st Edition is a textbook for students to learn and apply numerical methods to solve engineering and science problems, with sufficient theory and MATLAB transition.
Format: Paperback / softback
Publication date: 29 November 2021
Publisher: McGraw-Hill Education
Applied Numerical Methods with Python, 1st Edition is a comprehensive textbook designed for students seeking to acquire and apply numerical methods to solve engineering and scientific problems. The book's approach emphasizes problem-solving over mathematics, providing sufficient theoretical background to enable students to gain a deep understanding of the techniques and their limitations. For those familiar with Applied Numerical Methods for MATLAB, the transition to Python is seamless, making it an ideal resource for students and professionals alike.
Applied Numerical Methods with Python, 1st Edition: A Comprehensive Guide to Problem-Solving
Applied Numerical Methods with Python, 1st Edition is a comprehensive textbook designed for students seeking to acquire and apply numerical methods to solve engineering and scientific problems. The book's approach emphasizes problem-solving over mathematics, providing sufficient theoretical background to enable students to gain a deep understanding of the techniques and their limitations. For those familiar with Applied Numerical Methods for MATLAB, the transition to Python is seamless, making it an ideal resource for students and professionals alike.
Motivation by Problems
Applied Numerical Methods with Python, 1st Edition is motivated by problems rather than by mathematics. This approach ensures that students are able to apply the techniques to real-world scenarios and gain practical experience. The book covers a wide range of topics, including linear algebra, differential equations, optimization, and simulation, and provides numerous examples and exercises to help students understand the concepts.
Sufficient Theory
Applied Numerical Methods with Python, 1st Edition provides sufficient theory to enable students to understand the techniques and their shortcomings. The book covers topics such as numerical methods, error analysis, and convergence, and provides examples and exercises to help students apply these concepts to their own problems. The book also includes a chapter on programming in Python, which provides students with the skills necessary to develop and implement numerical algorithms.
Transition from MATLAB to Python
If you have ever used Applied Numerical Methods for MATLAB, you will find transitioning to this Python program seamless. The book provides a comprehensive introduction to Python programming, including syntax, data types, and control structures. It also covers the use of libraries such as NumPy, SciPy, and Matplotlib, which are essential for numerical computing in Python. The book includes numerous examples and exercises to help students transition from MATLAB to Python.
Applications in Engineering and Science
Applied Numerical Methods with Python, 1st Edition has numerous applications in engineering and science. It can be used to solve problems in fields such as mechanical engineering, electrical engineering, civil engineering, and computer science. The book provides examples and exercises that demonstrate the use of numerical methods in these fields, and helps students develop the skills necessary to solve complex problems.
Conclusion
Applied Numerical Methods with Python, 1st Edition is a comprehensive textbook designed for students seeking to acquire and apply numerical methods to solve engineering and scientific problems. The book's approach emphasizes problem-solving over mathematics, providing sufficient theoretical background to enable students to gain a deep understanding of the techniques and their limitations. For those familiar with Applied Numerical Methods for MATLAB, the transition to Python is seamless, making it an ideal resource for students and professionals alike.
Weight: 1220g
Dimension: 216 x 276 x 25 (mm)
ISBN-13: 9781265017965
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