Independently published, 2019. — 206 p. — ASIN B07ZQSHQ3K.
This book is intended for students and professionals
in science and engineering who face problems that frequently arise in the
mathematical arena. Instead of going to generic recipes, I have preferred to be practical and illustrate the programming techniques with simple examples that go
straight to the point, without going into a detailed explanation of each step. Besides, I have given up impressing the reader with the superpower and sophistication that Python is capable of reaching in favor of readability and comprehension. The methods and solutions presented cover a wide range of engineering problems, illustrated with inspiring examples. Some of them emanate from classical mathematics such as
integration, equation solving, and differential equations, and others are cutting-edge topics such as
optimization, data mining, genetic algorithms, neural networks, and machine learning. On the other hand, it is
not a book for computer experts and a general programming knowledge is
sufficient. Even so,
an elementary aid to the Python language is included in an appendix to the book.
True PDF (A5 format)