* Take advantage of App Inventor’s GPS-location sensor: Build an app shows the location of friends or colleagues at a concert or conference, or one that gives you a custom tour of your school, workplace, or a museum.

* Use an Android device’s phone features: Write an app that periodically texts “missing you” to loved ones, an app that responds to texts automatically when you’re driving, and an app that reads incoming texts aloud.

* Communicate with the Web: Create Android apps that talk to your favorite web sites, such as Amazon and Twitter.

* Understand the particular way Sphinx conducts searches
* Install and configure Sphinx, and run a few basic tests
* Issue basic queries to Sphinx at the application level
* Learn the syntax of search text and the effects of various search options
* Get strategies for dealing with large data sets, such as multi-index searching
* Apply relevance and ranking guidelines for presenting best results to the user

Test-Driven Development for Embedded C .PDF

Year: 2011
Author: Grenning J.W.
Publisher: Pragmatic Bookshelf
ISBN: 978-1934356623
Language: English
Формат: PDF/EPUB
Pages: 365

TDD is a modern programming practice C developers need to know. It’s a different way to program—unit tests are written in a tight feedback loop with the production code, assuring your code does what you think. You get valuable feedback every few minutes. You find mistakes before they become bugs. You get early warning of design problems. You get immediate notification of side effect defects. You get to spend more time adding valuable features to your product.
James is one of the few experts in applying TDD to embedded C. With his 1.5 decades of training, coaching, and practicing TDD in C, C++, Java, and C# he will lead you from being a novice in TDD to using the techniques that few have mastered.
This book is full of code written for embedded C programmers. You don’t just see the end product, you see code and tests evolve. James leads you through the thought process and decisions made each step of the way. You’ll learn techniques for test-driving code right next to the hardware, and you’ll learn design principles and how to apply them to C to keep your code clean and flexible.
To run the examples in this book, you will need a C/C++ development environment on your machine, and the GNU GCC tool chain or Microsoft Visual Studio for C++ (some project conversion may be needed).
About the Author
James Grenning trains, coaches, and consults worldwide. His considerable experience brings depth in both technical and business aspects of software development. James is leading the way to introduce Agile development practices to the embedded world. He invented Planning Poker and is one of the original authors of the Manifesto for Agile Software Development, February 2001.

* Getting Started
* Mastering the Basics
* Working Like the Pros
* Energizing Your Site
* Publishing Your Site
* Working Collaboratively
* Building Web Applications
* Making Pages Dynamic
* Developing Applications Rapidly

Year: 2010
Authors: Ronald L. Krutz, Russell Dean Vines
Publisher: Wiley
ISBN: 0470589876
Language: English
Format: PDF
Pages: 388

Well-known security experts decipher the most challenging aspect of cloud computing-security
Cloud computing allows for both large and small organizations to have the opportunity to use Internet-based services so that they can reduce start-up costs, lower capital expenditures, use services on a pay-as-you-use basis, access applications only as needed, and quickly reduce or increase capacities. However, these benefits are accompanied by a myriad of security issues, and this valuable book tackles the most common security challenges that cloud computing faces.
The authors offer you years of unparalleled expertise and knowledge as they discuss the extremely challenging topics of data ownership, privacy protections, data mobility, quality of service and service levels, bandwidth costs, data protection, and support.
As the most current and complete guide to helping you find your way through a maze of security minefields, this book is mandatory reading if you are involved in any aspect of cloud computing.

Year: 2011
Author: Wen-mei W. Hwu
Jenre: GPU Programming
Publisher: Morgan Kaufmann
ISBN: 978-0123849885
Language: English
Format: PDF
Pages: 886

Praise for GPU Computing Gems: Emerald Edition:
“GPU computing is becoming an outstanding field in high performance computing. Due to its easiness, the CUDA approach enables programmers to take advantage of GPU-acceleration very quickly. My research in complex science as well as applications in high frequency trading benefited significantly from GPU computing.” – Dr. Tobias Preis, ETH Zurich, Switzerland
“This book is an important reference for everyone working on GPU/CUDA, and contains definitive work in a selection of fields. The patterns of CUDA parallelization it describes can often be adapted to applications in other fields.” – Dr. Ming Ouyang, Assistant Professor – Director Visualization and Intensive Graphics Lab, University of Louisville
“Diving into the world of GPU computing has never been more important these days. GPU Computing Gems: Emerald Edition takes you through the looking glass into this fascinating world.” – Martin Eisemann, Computer Graphics Lab, TU Braunschweig
“.an outstanding collection of vignettes of how to program GPUs for a breathtaking range of applications.” – Dr. Amitabh Varshney, Director, Institute for Advanced Computer Studies, University of Maryland
Product Description
“.the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk.” -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010
Graphics processing units (GPUs) can do much more than render graphics. Scientists and researchers increasingly look to GPUs to improve the efficiency and performance of computationally-intensive experiments across a range of disciplines.
GPU Computing Gems: Emerald Edition brings their techniques to you, showcasing GPU-based solutions including:
Black hole simulations with CUDA
GPU-accelerated computation and interactive display of molecular orbitals
Temporal data mining for neuroscience
GPU -based parallelization for fast circuit optimization
Fast graph cuts for computer vision
Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
GPU image demosaicing
Tomographic image reconstruction from unordered lines with CUDA
Medical image processing using GPU -accelerated ITK image filters
41 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any domain
GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann’s Applications of GPU Computing Series, offering the latest insights and research in computer vision, electronic design automation, emerging data-intensive applications, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, and video / image processing.
Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more
Many examples leverage NVIDIA’s CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution
Offers insights and ideas as well as practical “hands-on” skills you can immediately put to use