Books: 5

Mathematica

CoverTitleYear
Getting Started With Python
Learn To Use Raspberry Pi 3 Kit & Also Learn to Program Python in 24 Hours!This guide book will ensure you are equipped with the complete know-how of programming the Raspberry Pi 3. Get started with learning Python right away. What You’ll Learn From This Book? Introduction - Embedded Systems & The Raspberry more » Pi Moving Toward A Smarter Internet – The Internet Of Things Understanding The Raspberry Pi Versions & Features Understanding The Raspberry Pi 3 The Raspberry Pi 3 – Hardware Setup Operating Systems Required For Raspberry Pi 3 NOOBS for Raspberry Pi 3 Connecting The Raspberry Pi 3 Starting And Programming Raspberry Pi 3 General Purpose Input Output (GPIO) Understanding And Accessing Python 3 Learn Python In Detail Python – Features Setting Up The Environment Identifiers Variables Whitespaces Comments Strings Types Of Operations Data Types Flow Of Control/Decision Making Loops In Python Functions Modules File Handling Exception Handling Classes In Python Tips For Python Beginners Understanding And Accessing Mathematica Programming In Mathematica Accessing Camera In Raspberry Pi 3 Raspberry Pi 3 – Getting Ahead With IOT Conclusion - Sculpting Your Career In IOT Use this book to get ahead in the world of Internet Of Things! Elevate your skill levels in using and programming the Raspberry Pi 3! « less
2016
Free Mathematica 10 Update Included! Nowavailable from www.wiley.com/go/magrab Updated material includes: - Creating regions and volumes of arbitrary shape and determining their properties: arc length, area, centroid, and area moment of inertia - Performing integrations, solving equations, and determining more » the maximum and minimum values over regions of arbitrary shape - Solving numerically a class of linear second order partial differential equations in regions of arbitrary shape using finite elements An Engineer's Guide to Mathematica enables the reader to attain the skills to create Mathematica 9 programs that solve a wide range of engineering problems and that display the results with annotated graphics. This book can be used to learn Mathematica, as a companion to engineering texts, and also as a reference for obtaining numerical and symbolic solutions to a wide range of engineering topics. The material is presented in an engineering context and the creation of interactive graphics is emphasized. The first part of the book introduces Mathematica's syntax and commands useful in solving engineering problems. Tables are used extensively to illustrate families of commands and the effects that different options have on their output. From these tables, one can easily determine which options will satisfy one's current needs. The order of the material is introduced so that the engineering applicability of the examples increases as one progresses through the chapters. The second part of the book obtains solutions to representative classes of problems in a wide range of engineering specialties. Here, the majority of the solutions are presented as interactive graphics so that the results can be explored parametrically. Key features: * Material is based on Mathematica 9 * Presents over 85 examples on a wide range of engineering topics, including vibrations, controls, fluids, heat transfer, structures, statistics, engineering mathematics, and optimization * Each chapter contains a summary table of the Mathematica commands used for ease of reference * Includes a table of applications summarizing all of the engineering examples presented. * Accompanied by a website containing Mathematica notebooks of all the numbered examples An Engineer's Guide to Mathematica is a must-have reference for practitioners, and graduate and undergraduate students who want to learn how to solve engineering problems with Mathematica. « less
2014
Python is a free, open source, easy-to-use software tool that offers a significant alternative to proprietary packages such as MATLAB and Mathematica. This book covers everything the working scientist needs to know to start using Python effectively. The author explains scientific Python from scratch, more » showing how easy it is to implement and test non-trivial mathematical algorithms and guiding the reader through the many freely available add-on modules. A range of examples, relevant to many different fields, illustrate the program's capabilities. In particular, readers are shown how to use pre-existing legacy code (usually in Fortran77) within the Python environment, thus avoiding the need to master the original code. Instead of exercises the book contains useful snippets of tested code which the reader can adapt to handle problems in their own field, allowing students and researchers with little computer expertise to get up and running as soon as possible. « less
2014
Applications Version
Elementary Linear Algebra 10th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, more » but there are clearly labeled exercises and examples (which can be omitted without loss of continuity) for students who have studied calculus. Technology also is not required, but for those who would like to use MATLAB, Maple, or Mathematica, or calculators with linear algebra capabilities, exercises are included at the ends of chapters that allow for further exploration using those tools. A concluding chapter covers twenty applications of linear algebra drawn from business, economics, physics, computer science, ecology, genetics, and other disciplines. The applications are independent and each includes a list of mathematical prerequisites. WileyPLUS sold separately from text. « less
2010
Interactive Methods and Programs with FORTRAN, QuickBASIC, MATLAB, and Mathematica
This book provides a concise introduction to numerical concepts in engineering analysis, using FORTRAN, QuickBASIC, MATLAB, and Mathematica to illustrate the examples. Discussions include: matrix algebra and analysis solution of matrix equations methods of curve fit methods for finding the roots more » of polynomials and transcendental equations finite differences and methods for interpolation and numerical differentiation numerical computation of single and double integrals numerical solution of ordinary differential equations Engineering Analysis: teaches readers to become proficient in FORTRAN or QuickBASIC programming to solve engineering problems provides an introduction to MATLAB and Mathematica, enabling readers to write supplementary m-files for MATLAB and toolkits for Mathematica using C-like commands The book emphasizes interactive operation in developing computer programs throughout, enabling the values of the parameters involved in the problem to be entered by the user of the program via a keyboard. In introducing each numerical method, Engineering Analysis gives minimum mathematical derivations but provides a thorough explanation of computational procedures to solve a specific problem. It serves as an exceptional text for self-study as well as resource for general reference. « less
1998