Make microcontrollers, PCs, servers, and smartphones talk to each other.

Building electronic projects that interact with the physical world is good fun. But when the devices you've built start to talk to each other, things really get interesting. With 33 easy-to-build projects, Making Things Talk shows you how to get your gadgets to communicate with you and your environment. It’s perfect for people with little technical training but a lot of interest.

Maybe you're a science teacher who wants to show students how to monitor the weather in several locations at once. Or a sculptor looking to stage a room of choreographed mechanical sculptures. In this expanded edition, you’ll learn how to form networks of smart devices that share data and respond to commands. Call your home thermostat with a smartphone and change the temperature.Create your own game controllers that communicate over a network.Use ZigBee, Bluetooth, Infrared, and plain old radio to transmit sensor data wirelessly.Work with Arduino 1.0, Processing, and PHP—three easy-to-use, open source environments.Write programs to send data across the Internet, based on physical activity in your home, office, or backyard.

Whether you want to connect simple home sensors to the Internet, or create a device that can interact wirelessly with other gadgets, this book explains exactly what you need.

In this book, noted expert Ryan Irelan walks you through creating an online news site, Engine City Times. You'll get hands-on experience working with dynamic content, categories, an RSS feed, site search, and more as you build your news site.

You'll further improve your ExpressionEngine skills with advanced techniques for creating powerful and manageable templates, effectively managing site files and assets, and optimizing your ExpressionEngine website to handle thousands of visitors. Go beyond the native ExpressionEngine functionality and customize the system through the use of add-ons. You'll discover how add-ons can help you build better websites, and you'll also build your own add-ons from scratch.

Whether you're a web designer, web developer, or web master, this book will get you up to speed quickly building sites with ExpressionEngine.

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more.

After reading and using this book, you'll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games.

Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python's immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.

The bash shell is a complete programming language, not merely a glue to combine external Linux commands. By taking full advantage of shell internals, shell programs can perform as snappily as utilities written in C or other compiled languages. And you will see how, without assuming Unix lore, you can write professional bash 4.0 programs through standard programming techniques. Complete bash coverageTeaches bash as a programming languageHelps you master bash 4.0 features

Design, simulate, program, and prototype an interactive autonomous mobile robot from scratch with the help of Python, ROS, and Open-CV!About This Book Design, simulate, build and program an interactive autonomous mobile robotProgram Robot Operating System using PythonGet a grip on the hands-on guide to robotics for learning various robotics concepts and build an advanced robot from scratchWho This Book Is For

If you are an engineer, a researcher, or a hobbyist, and you are interested in robotics and want to build your own robot, this book is for you. Readers are assumed to be new to robotics but should have experience with Python. In Detail

Learning about robotics will become an increasingly essential skill as it becomes a ubiquitous part of life. Even though robotics is a complex subject, several other tools along with Python can help you design a project to create an easy-to-use interface.

Learning Robotics Using Python is an essential guide for creating an autonomous mobile robot using popular robotic software frameworks such as ROS using Python. It also discusses various robot software frameworks and how to go about coding the robot using Python and its framework. It concludes with creating a GUI-based application to control the robot using buttons and slides.

By the end of this tutorial, you'll have a clear idea of how to integrate and assemble all things into a robot and how to bundle the software package.

Build a variety of awesome robots that can see, sense, move, and do a lot more using the powerful Robot Operating SystemAbout This Book Create and program cool robotic projects using powerful ROS librariesWork through concrete examples that will help you build your own robotic systems of varying complexity levelsThis book provides relevant and fun-filled examples so you can make your own robots that can run and workWho This Book Is For

This book is for robotic enthusiasts and researchers who would like to build robot applications using ROS. If you are looking to explore advanced ROS features in your projects, then this book is for you. Basic knowledge of ROS, GNU/Linux, and programming concepts is assumed. What You Will Learn Create your own self-driving car using ROSBuild an intelligent robotic application using deep learning and ROSMaster 3D object recognitionControl a robot using virtual reality and ROSBuild your own AI chatter-bot using ROSGet to know all about the autonomous navigation of robots using ROSUnderstand face detection and tracking using ROSGet to grips with teleoperating robots using hand gesturesBuild ROS-based applications using Matlab and AndroidBuild interactive applications using TurtleBotIn Detail

Robot Operating System is one of the most widely used software frameworks for robotic research and for companies to model, simulate, and prototype robots. Applying your knowledge of ROS to actual robotics is much more difficult than people realize,

Key Features Gain an understanding of the machine learning design processOptimize machine learning systems for improved accuracyUnderstand common programming tools and techniques for machine learningDevelop techniques and strategies for dealing with large amounts of data from a variety of sourcesBuild models to solve unique tasksBook Description

Machine learning is one of the fastest growing trends in modern computing. It has applications in a wide range of fields, including economics, the natural sciences, web development, and business modeling. In order to harness the power of these systems, it is essential that the practitioner develops a solid understanding of the underlying design principles.

There are many reasons why machine learning models may not give accurate results. By looking at these systems from a design perspective, we gain a deeper understanding of the underlying algorithms and the optimisational methods that are available. This book will give you a solid foundation in the machine learning design process, and enable you to build customised machine learning models to solve unique problems. You may already know about, or have worked with, some of the off-the-shelf machine learning models for solving common problems such as spam detection or movie classification, but to begin solving more complex problems, it is important to adapt these models to your own specific needs. This book will give you this understanding and more. What you will learn Gain an understanding of the machine learning design processOptimize the error function of your machine learning systemUnderstand the common programming patterns used in machine learningDiscover optimizing techniques that will help you get the most from your dataFind out how to design models uniquely suited to your taskAbout the Author

David Julian is currently working on a machine learning project with Urban Ecological Systems Ltd and Blue Smart Farms (http://www.bluesmartfarms.com.au) to detect and predict insect infestation in greenhouse crops. He is currently collecting a labeled training set that includes images and environmental data (temperature, humidity, soil moisture, and pH), linking this data to observations of infestation (the target variable), and using it to train neural net models. The aim is to create a model that will reduce the need for direct observation, be able to anticipate insect outbreaks, and subsequently control conditions. There is a brief outline of the project at http://davejulian.net/projects/ues. David also works as a data analyst, I.T. consultant, and trainer. Table of Contents Thinking in Machine LearningTools and TechniquesTurning Data into InformationModels – Learning from InformationLinear ModelsNeural NetworksFeatures – How Algorithms See the WorldLearning with EnsemblesDesign Strategies and Case Studies

This introduction to OSI fundamentals provides extensive coverage of the services and protocols at each layer, with an emphasis on the upper layers. Experts Jain and Agrawala offer a mix of fundamentals and theory for network managers and designers and all data communication professionals who need a complete, detailed understanding of OSI. The book discusses the OSI architecture and its various applications, including how to define the service provided by a given layer; specifying a protocol that realizes a given service; protocols for the physical layer through the network layer; the complex protocols used at the transport layer; the problem of information representation and its solution; commonly used application services; major issues concerning implementation of OSI-based networks; and much more.