Introduction to Python for Science and Engineering

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Introduction to Python for Science and Engineering This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips. Readers will see why Python is such a widely appealing program, and learn the basics of syntax, data structures, input and output, plotting, conditionals and loops, user-defined functions, curve fitting, numerical routines, animation, and visualization. The author teaches by example and assumes no programming background for the reader. David J. Pine is the Silver Professor and Professor of Physics at New York University, and Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He is an elected fellow of the American Physical Society and American Association for the Advancement of Science (AAAS), and is a Guggenheim Fellow.

Author(s): David J. Pine
Series: Series in Computational Physics
Edition: 1
Publisher: CRC Press
Year: 2018

Language: English
Commentary: True PDF
Pages: 388
City: Boca Raton, FL
Tags: Programming; GUI; Python; Ordinary Differential Equations; Nonlinear Equations; Linear Regression; Animation; NumPy; matplotlib; pandas; Object-Oriented Programming; Jupyter; Linear Algebra; SciPy; Entry Level; Fourier Transform; Textbook