Introduction to Python for Engineers and Scientists

2017-12-06
Introduction to Python for Engineers and Scientists

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  • Author: Sandeep Nagar
  • Publisher: Apress
  • ISBN: 1484232046
  • Category : Computers
  • Languages : en
  • Pages : 264

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.

An Introduction to Python Programming for Scientists and Engineers

2022-07-07
An Introduction to Python Programming for Scientists and Engineers

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  • Author: Johnny Wei-Bing Lin
  • Publisher: Cambridge University Press
  • ISBN: 1108701124
  • Category : Computers
  • Languages : en
  • Pages : 767

Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

Introduction to Python for Science and Engineering

2019-03-15
Introduction to Python for Science and Engineering

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  • Author: David J. Pine
  • Publisher: CRC Press
  • ISBN: 0429014252
  • Category : Computers
  • Languages : en
  • Pages : 368

Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors 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.

Python Programming and Numerical Methods

2020-11-27
Python Programming and Numerical Methods

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  • Author: Qingkai Kong
  • Publisher: Academic Press
  • ISBN: 0128195509
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 482

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. Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice Summaries at the end of each chapter allow for quick access to important information Includes code in Jupyter notebook format that can be directly run online

A Primer on Scientific Programming with Python

2016-07-28
A Primer on Scientific Programming with Python

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  • Author: Hans Petter Langtangen
  • Publisher: Springer
  • ISBN: 3662498871
  • Category : Computers
  • Languages : en
  • Pages : 942

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Python and Matplotlib Essentials for Scientists and Engineers

2015-06-01
Python and Matplotlib Essentials for Scientists and Engineers

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  • Author: Matt A Wood
  • Publisher: Morgan & Claypool Publishers
  • ISBN: 1627056211
  • Category : Computers
  • Languages : en
  • Pages : 168

This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use PythonTM to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page. Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download at http://pythonessentials.com. Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.

Python Scripting for Computational Science

2013-03-14
Python Scripting for Computational Science

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  • Author: Hans Petter Langtangen
  • Publisher: Springer Science & Business Media
  • ISBN: 3662054507
  • Category : Computers
  • Languages : en
  • Pages : 743

Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries.

Python Programming

2017-05-26
Python Programming

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  • Author: Irfan Turk
  • Publisher: Createspace Independent Publishing Platform
  • ISBN: 9781543173833
  • Category : Computer programming
  • Languages : en
  • Pages : 236

This book is written as a reference text for teaching and learning Python as a computer programming course. It has 117 illustrative and instructive examples that include the solutions along with the codes. The book consists of three major parts. The fundamentals of the programming language are explained in the first part. Object-oriented programming and working with databases are discussed in the second part. The third part, which provides the essential topics for engineers and scientists, covers the following topics: - Matrix Algebra - Plotting Graphics - Symbolic Calculations - Introduction to Statistics - Numerical Methods - Digital Image Processing - Graphical User Interfaces.

Python for Scientists

2017-07-20
Python for Scientists

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  • Author: John M. Stewart
  • Publisher: Cambridge University Press
  • ISBN: 1316641236
  • Category : Computers
  • Languages : en
  • Pages : 272

Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.

Numerical Methods in Engineering with Python 3

2013-01-21
Numerical Methods in Engineering with Python 3

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  • Author: Jaan Kiusalaas
  • Publisher: Cambridge University Press
  • ISBN: 1107033853
  • Category : Computers
  • Languages : en
  • Pages : 437

Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.