176,48 €
196,09 €
-10% with code: EXTRA
Python Programming and Numerical Methods
176,48 € 
- We will send in 10–14 business days.
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. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorith…
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- Author: Qingkai Kong
- Publisher: Academic Press
- ISBN-10: 0128195495
- ISBN-13: 9780128195499
- Format: 18.8 x 23.1 x 2.8 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
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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. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.EXTRA 10 % discount with code: EXTRA
176,48 €
196,09 €
We will send in 10–14 business days.
The promotion ends in 20d.17:52:32
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Qingkai Kong
- Publisher: Academic Press
- ISBN-10: 0128195495
- ISBN-13: 9780128195499
- Format: 18.8 x 23.1 x 2.8 cm, softcover
- Language: English English
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. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings.
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