Learn the basics of do-it-yourself ZFS storage on Linux. This book delivers explanations of key features and provides best practices for planning, creating and sharing your storage. ZFS as a file system simplifies many aspects of the storage administrator´s day-to-day job and solves a lot of problems that administrators face, but it can be confusing. Introducing ZFS on Linux addresses some of these issues and shows you how to resolve them. This book explains the technical side of ZFS, through planning the hardware list to planning the physical and logical layout of the storage. What You´ll Learn Understand the gains ZFS gives system and storage administrators and utilize its features Install and configure ZFS software Create and maintain ZFS pool Administer ZFS storage, including sharing Who This Book is For This book is ideal for those who already have experience working with Linux systems but want to understand the bare basics of ZFS before moving further.
If you need to learn CUDA but don´t have experience with parallel computing, CUDA Programming: A Developer´s Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. Comprehensive introduction to parallel programming with CUDA, for readers new to both Detailed instructions help readers optimize the CUDA software development kit Practical techniques illustrate working with memory, threads, algorithms, resources, and more Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets Each chapter includes exercises to test reader knowledge
Python in Practice presents Python programming technologies and techniques to help programmers write code that´s elegant, maintainable, and fast. Drawing on both the standard library and important third-party libraries, the book shows how to achieve significant speedups using high-level concurrency and compiled Python. The book is packed with examples and ideas that illustrate a wide range of techniques and modules, encompassing high-level networking, 2D graphics, 3D graphics, and GUI programming---including concurrent GUI programming. The book is aimed at programmers who want to take their Python programming to the next level. Product Description Winner of the 2014 Jolt Award for ´´Best Book´´ ?Whether you are an experienced programmer or are starting your career, Python in Practice is full of valuable advice and example to help you improve your craft by thinking about problems from different perspectives, introducing tools, and detailing techniques to create more effective solutions.? ?Doug Hellmann, Senior Developer, DreamHost If you?re an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs. Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming?showing, for example, how Python can take full advantage of multicore hardware. All examples, including three complete case studies, have been tested with Python 3.3 (and, where possible, Python 3.2 and 3.1) and crafted to maintain compatibility with future Python 3.x versions. All code has been tested on Linux, and most code has also been tested on OS X and Windows. All code may be downloaded at www.qtrac.eu/pipbook.html . Coverage includes Leveraging Python?s most effective creational, structural, and behavioral design patterns Supporting concurrency with Python?s multiprocessing, threading, and concurrent.futures modules Avoiding concurrency problems using thread-safe queues and futures rather than fragile locks Simplifying networking with high-level modules, including xmlrpclib and RPyC Accelerating Python code with Cython, C-based Python modules, profiling, and other techniques Creating modern-looking GUI applications with Tkinter Leveraging today?s powerful graphics hardware via the OpenGL API using pyglet and PyOpenGL Features + Benefits Introduces readers to solid, well-established third-party libraries that greatly extend the standard Python library. Python in Practice presents Python programming technologies and techniques to help programmers write code that is elegant, maintainable, and fast. Drawing on both the standard library and important third-party libraries, the book shows how to achieve significant speedups using high-level concurrency and compiled Python. The book is packed with examples and ideas that illustrate a wide range of techniques and modules, encompassing high-level networking, 2D graphics, 3D graphics, and GUI programming---including concurrent GUI programming. The book is aimed at programmers who want to take their Python programming to the next level.