Matlab And Python Programming

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Learning Numpy Array

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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-06-13

Learning Numpy Array written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-13 with Computers categories.

A step-by-step guide, packed with examples of practical numerical analysis that will give you a comprehensive, but concise overview of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python.

Python For Mechanical And Aerospace Engineering

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Author : Alex Kenan
language : en
Publisher: Alex Kenan
Release Date : 2021-01-01

Python For Mechanical And Aerospace Engineering written by Alex Kenan and has been published by Alex Kenan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-01 with Computers categories.

The traditional computer science courses for engineering focus on the fundamentals of programming without demonstrating the wide array of practical applications for fields outside of computer science. Thus, the mindset of “Java/Python is for computer science people or programmers, and MATLAB is for engineering” develops. MATLAB tends to dominate the engineering space because it is viewed as a batteries-included software kit that is focused on functional programming. Everything in MATLAB is some sort of array, and it lends itself to engineering integration with its toolkits like Simulink and other add-ins. The downside of MATLAB is that it is proprietary software, the license is expensive to purchase, and it is more limited than Python for doing tasks besides calculating or data capturing. This book is about the Python programming language. Specifically, it is about Python in the context of mechanical and aerospace engineering. Did you know that Python can be used to model a satellite orbiting the Earth? You can find the completed programs and a very helpful 595 page NSA Python tutorial at the book’s GitHub page at https://www.github.com/alexkenan/pymae. Read more about the book, including a sample part of Chapter 5, at https://pymae.github.io

Computational Framework For The Finite Element Method In Matlab And Python

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Author : Pavel Sumets
language : en
Publisher: CRC Press
Release Date : 2022-08-11

Computational Framework For The Finite Element Method In Matlab And Python written by Pavel Sumets and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-11 with Computers categories.

Computational Framework for the Finite Element Method in MATLAB® and Python aims to provide a programming framework for coding linear FEM using matrix-based MATLAB® language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible. Readers can follow the step-by-step process of developing algorithms with clear explanations of its underlying mathematics and how to put it into MATLAB and Python code. The content is focused on aspects of numerical methods and coding FEM rather than FEM mathematical analysis. However, basic mathematical formulations for numerical techniques which are needed to implement FEM are provided. Particular attention is paid to an efficient programming style using sparse matrices. Features Contains ready-to-use coding recipes allowing fast prototyping and solving of mathematical problems using FEM Suitable for upper-level undergraduates and graduates in applied mathematics, science or engineering Both MATLAB and Python programming codes are provided to give readers more flexibility in the practical framework implementation

Matlab And Python Programming

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Author : UpSkill Learning
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-11-24

Matlab And Python Programming written by UpSkill Learning and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-24 with MATLAB. categories.

Learn MATLAB & PYTHON Programming in Less Than 24 Hours! MATLAB & PYTHON Programming - A Practical Guide For Engineers & Data Scientists is exclusively designed for MATLAB and Python Beginners. This is a step-by-step comprehensive guide that equips your skills in MATLAB and Python. Whether you are a Math Student, Researcher, Teacher, Engineer or Scientist - this book covers the in-and-out of the essentials you need to learn to become familiar with MATLAB and Python Programming. What You'll Learn From This Book? Introduction To MATLAB Chapter 1: MATLAB - Intro, Features, Modules & Influence Chapter 2: Getting started with MATLAB Chapter 3: Getting familiar with MATLAB Chapter 4: Basic Commands in MATLAB Chapter 5: Matrix Operations Chapter 6: Array and Linear Operations Chapter 7: Programming with MATLAB Chapter 8: Input, Output and Operators Chapter 9: Flow Control Statements Chapter 10: Math Functions Chapter 11: Strings Chapter 12: Plots Chapter 13: Graphics and Graphical User Interface Programming Chapter 14: Autocorrelation using MATLAB Chapter 15: How To Become A MATLAB Expert? Chapter 1: Introduction To Python Chapter 2: Python - Features Chapter 3: Setting Up The Environment Chapter 4: Identifiers Chapter 5: Variables Chapter 6: Whitespaces Chapter 7: Comments Chapter 8: Strings Chapter 9: Types Of Operations Chapter 10: Data Types Chapter 11: Flow Of Control/Decision Making Chapter 12: Loops In Python Chapter 13: Functions Chapter 14: Modules Chapter 15: File Handling Chapter 16: Exception Handling Chapter 17: Classes In Python Chapter 18: Tips For Beginners MATLAB has influence over many areas of human technology from Artificial Intelligence to Aerospace. Mastering the basics of MATLAB gives you the ability to learn advanced topics more easily, create amazing tools and software, and conduct engineering tasks with ease. This book's been prepared for the beginners to help them understand basic Python programming. After completing this book from start to end, you will find yourself at a moderate level of expertise in Python programming from where you can take yourself to next levels. If you want to learn MATLAB and Python Programming for your Work or College, this is the right book for you.

A Primer On Scientific Programming With Python

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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2014-08-01

A Primer On Scientific Programming With Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Computers categories.

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

Introduction To Radar Using Python And Matlab

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Author : Lee Andrew (Andy) Harrison
language : en
Publisher: Artech House
Release Date : 2019-10-31

Introduction To Radar Using Python And Matlab written by Lee Andrew (Andy) Harrison and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-31 with Technology & Engineering categories.

This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms. The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.

Neural Data Science

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Author : Erik Lee Nylen
language : en
Publisher: Academic Press
Release Date : 2017-03-21

Neural Data Science written by Erik Lee Nylen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-21 with Science categories.

A Primer with MATLAB® and PythonT present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner's introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility.

Numpy Beginner S Guide Second Edition

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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2013-04-25

Numpy Beginner S Guide Second Edition written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-25 with Computers categories.

The book is written in beginner’s guide style with each aspect of NumPy demonstrated with real world examples and required screenshots.If you are a programmer, scientist, or engineer who has basic Python knowledge and would like to be able to do numerical computations with Python, this book is for you. No prior knowledge of NumPy is required.

Numpy Cookbook

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Author : Ivan Idris
language : en
Publisher: Packt Publishing Ltd
Release Date : 2012-10-25

Numpy Cookbook written by Ivan Idris and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-25 with Computers categories.

Written in Cookbook style, the code examples will take your Numpy skills to the next level. This book will take Python developers with basic Numpy skills to the next level through some practical recipes.

Programming For Computations Python

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Author : Svein Linge
language : en
Publisher: Springer
Release Date : 2016-07-25

Programming For Computations Python written by Svein Linge and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-25 with Computers categories.

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.