Python Recipes for Engineers and Scientists: Scripts that devour your integrals, equations, differential equations, and interpolations!

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This book is not a manual of PYTHON nor does it replace many excellent books on the use of this cool language. What this book offers is a friendly aid for some of the frequent numerical problems that arise in the analytical study of many engineering and physical problems. The chapters of the book reach the point in a simple way by deliberately giving up to impress the reader with the power and sophistication of PYTHON in favor of readability and understanding. The scripts are autonomous and solve very specific problems such as interpolation and fitting, non-linear equations, integration, differential equations, in few essential sentences. Even so, the reader will see that they can combined and adapt to real problems.I assumed that the reader has some elementary knowledge of script writing, although not necessarily advanced knowledge. Yet, a Python primer is included at the end.

Author(s): Javier Riverola Gurruchaga
Edition: 1
Publisher: Independently published
Year: 2018

Language: English
Commentary: True PDF
Pages: 102
Tags: Python; Ordinary Differential Equations; Statistics; Numerical Methods; Partial Differential Equations; NumPy; matplotlib; pandas; Linear Algebra; SciPy; Curve Fitting; Interpolation; SymPy; Equation Solving; Integration

1. Interpolation and Fitting
2. Integration
3. Solving Equations
4. Differential Equations
5. Mathematical Statistics
6. Proposed Exercises
7. Answers to Problems
A. Python Primer
B. Packages Contents