Moisés Cywiak - Multi-Platform Graphics Programming with Kivy: Basic Analytical Programming for 2D, 3D and Stereoscopic Design
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- Book:Multi-Platform Graphics Programming with Kivy: Basic Analytical Programming for 2D, 3D and Stereoscopic Design
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Modern science requires computer graphics models to provide realistic visual renderings. Learning the appropriate programming tools for 2D and 3D modeling doesnt 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 equations from vector algebra. Throughout the book youll look closely at this approach and develop scenes in Kivy, taking advantage of powerful mathematical functions for arrays by NumPy for Python.
Unbuntu is used to develop the programs, which allows you to easily convert to Android platform. Each chapter contains step-by-step descriptions on each subject and provides complete program listings.
What Youll Learn
Work with Kivy, a modern, powerful multi-platform graphics system
Convert and run programs on Android devices
Program, fill faces, and rotate 2D and 3D polygons
Apply the concepts of 2D and 3D applications
Develop stereoscopic scenes
Review a straightforward introduction to 2D, 3D, and stereoscopic graphics applications
Use simple analytical equations from vector algebra
Who This Book Is For
The primary audience is students and researchers in graphics programming with experience in analytical equations.
Moisés Cywiak: author's other books
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Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-7112-4. For more detailed information, please visit http://www.apress.com/source-code.
This Apress imprint is published by the registered company APress Media, LLC part of Springer Nature.
The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.
We would like to thank Natalie Pao, Jessica Vakili, Ahmed Gad, and James Markhan for providing valuable comments and suggestions during the review of this book.
is a researcher in physical optical sciences. He has over 20 years of teaching experience in physics, mathematics, electronic engineering, and programming in C, C++, and Python at the Centro de Investigaciones en ptica A.C.
received his PhD in Physics in 2014 from the Universidad de Guanajuato. From 2012 to 2013, he collaborated as a guest researcher at the Dalton Cardiovascular Research Center, University of Missouri-Columbia, in the development of an optical-photoacoustic system intended for the detection of photoacoustic signals generated by cancerous cells. Since 2014, he has been working as a metrologist in the Thermometry Department at the Centro Nacional de Metrologia, Mxico. His research includes photoacoustics, optical engineering, and radiation thermometry. He has over seven years of experience teaching physics, mathematics, and programming in C to undergraduate students. He also has over five years of experience teaching temperature measurement techniques and calibration of instruments in the thermometry area to industry professionals.
is a machine learning engineer pursuing his Phd in computer engineering at the University of Ottawa. He works with companies like Paperspace and NeptuneAI on machine learning projects and their documentation. Ahmed created PyGAD , a Python open-source library for building the genetic algorithm and has a history of four books in the field.
The code presented in this book can be executed on any platform running Python. However, to translate the programs into applications that can be installed and executed on Android, the developing operating system must be Ubuntu. We briefly describe the preliminary steps to run Python along with the required applications in Ubuntu. In this case, we are using Ubuntu 20.04.1 LTS.
Although Python3 is already installed in Ubuntu, we need to install pip3 and IDLE. We cover how to use pip3 later, which is necessary to install the additional packages and libraries that the programs will require. IDLE is the shell that allows you to write and execute the code.
To install pip3 , open a Terminal window by using Ctrl+Alt+T. It will be convenient to add the Terminal to the favorites bar. From this point on, your computer will require Internet access.
sudo apt update . At this step, you need an administrator password.
sudo apt install python3-pip . This command installs pip3.
sudo apt install idle3 . This command installs Python-Shell.
pip3 and IDLE should now be installed on your computer. To verify that IDLE 3 has been installed properly, click Ubuntus Show Applications icon and look for the IDLE icon. Now is also a good time to right-click the icon and select the Add to Favorites option.
To check for the pip3 installation, you can type pip3 list in the Terminal window. In response, you will obtain a list of packages installed for the Python3 environment.
For the programs in this book, you need mathematical and graphical capabilities. For this, we will use two powerful Python libraries: NumPy and Kivy.
To install NumPy, type pip3 install numpy in the Terminal window. After the installation completes, you can verify that NumPy has been added to the installed packages by typing pip3 list .
The installation of Kivy is described in the following subsection.
Step-by-Step Commands for Installing Kivy
You can verify that Kivy has been installed by typing pip3 list . In our case, we obtained Kivy version 1.10.1. As you will see, it is important to make a note of the version number.
At this point, we have the entire engine is ready to carry out programming in Ubuntu . However, since you are interested in translating the programs into Android APKs, you need an additional tool, called Buildozer.
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