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Multi-Platform Graphics Programming with Kivy
Basic Analytical Programming for 2D, 3D, and Stereoscopic Design
2021
EN
Modern science requires computer graphics models to provide realistic visual renderings. Learning the appropriate programming tools for 2D and 3D modeling doesn’t have to be so difficult. This book reviews the best programming tools to achieve this and explains how to apply them to mobile platforms like Android.Multi-Platform Graphics Programming with Kivy provides a straightforward introductory approach for designing 2D, 3D, and stereoscopic applications, using analytical...
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Matlab
A Practical Introduction to Programming and Problem Solving
2011
EN
MATLAB: A Practical Introduction to Programming and Problem Solving, Second Edition, is the only book that gives a full introduction to programming in MATLAB combined with an explanation of MATLAB's powerful functions, enabling engineers to fully exploit the software's power to solve engineering problems. The text aims to provide readers with the knowledge of the fundamentals of programming concepts and the skills and techniques needed for basic problem solving using MATLAB as the vehicle....
Doing Math with Python
Use Programming to Explore Algebra, Statistics, Calculus, and More!
2015
EN
Accessible
Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things.Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science...
Programming Computer Vision with Python
Tools and algorithms for analyzing images
2012
EN
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. You’ll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples...
Matlab
A Practical Introduction to Programming and Problem Solving
- Series -
- Hahn and Attaway Bundle
2009
EN
MATLAB: A Practical Introduction to Programming and Problem Solving discusses the basic programming concepts and skills needed for problem solving using MATLAB software. It is the only book that gives a full introduction to programming in MATLAB combined with an explanation of MATLAB's powerful functions. The book differs from other texts in that it teaches programming concepts and the use of the built-in functions in MATLAB simultaneously. It presents programming concepts and MATLAB built...
CATIA V5
Macro Programming with Visual Basic Script
2013
EN
Write powerful, custom macros for CATIA V5CATIA V5 Macro Programming with Visual Basic Script shows you, step by step, how to create your own macros that automate repetitive tasks, accelerate design procedures, and automatically generate complex geometries. Filled with full-color screenshots and illustrations, this practical guide walks you through the entire process of writing, storing, and executing reusable macros for CATIA® V5. Sample Visual Basic Scri...
Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6
2019
EN
This book is published open access under a CC BY 4.0 license.This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Th...
GNU Octave Beginner's Guide
Become a proficient Octave user by learning this high-level scientific numerical tool from the ground up
2011
EN
Become a proficient Octave user by learning this high-level scientific numerical tool from the ground upKey FeaturesThe easiest way to use GNU Octave's power and flexibility for data analysisWork with GNU Octave's interpreter – declare and control mathematical objects like vectors and matricesRationalize your scripts and control program flowExtend GNU Octave and implement your own functionalityGet to know the vast built-in f...
Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python
2016
EN
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...
2016
EN
Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts...
Matlab
A Practical Introduction to Programming and Problem Solving
2013
EN
MatLab, Third Edition is the only book that gives a full introduction to programming in MATLAB combined with an explanation of the software's powerful functions, enabling engineers to fully exploit its extensive capabilities in solving engineering problems. The book provides a systematic, step-by-step approach, building on concepts throughout the text, facilitating easier learning. Sections on common pitfalls and programming guidelines direct students towards best practice. The book is org...
Think DSP
Digital Signal Processing in Python
2016
EN
If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds.Author Allen Downey explains techniques such as spectral decomposition, ...











