The Little SAS Enterprise Guide Book 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书

It’s been almost eight years since I first updated Advanced Programming in the UNIX Environment, and already so much has changed. • Before the second edition was published, The Open Group created a 2004 edition of the Single UNIX Specification, folding in the changes from two sets of corrigenda. In 2008, The Open Group created a new version of the Single UNIX Specification, updating the base definitions, adding new interfaces, and removing obsolete ones. This was called the 2008 version of POSIX.1, which included version 7 of the Base Specification and was published in 2009. In 2010, this was bundled with an updated curses interface and reissued as version 4 of the Single UNIX Specification. • Versions 10.5, 10.6, and 10.8 of the Mac OS X operating system, running on Intel processors, have been certified to be UNIX® systems by The Open Group. • Apple Computer discontinued development of Mac OS X for the PowerPC platform. From Release 10.6 (Snow Leopard) onward, new operating system versions are released for the x86 platform only. • The Solaris operating system was released in open source form to try to compete with the popularity of the open source model followed by FreeBSD, Linux, and Mac OS X. After Oracle Corporation bought Sun Microsystems in 2010, it discontinued the development of OpenSolaris. Instead, the Solaris community formed the Illumos project to continue open source development based on OpenSolaris. For more information, see http://www.illumos.org.

Financial Accounting(9th) 英文无水印原版pdf 第9版 pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Machine Learning with Python 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

The fourth edition of Data Structures and Algorithm Analysis in C++ describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms. As computers become faster and faster, the need for programs that can handle large amounts of input becomes more acute. Paradoxically, this requires more careful attention to efficiency, since inefficiencies in programs become most obvious when input sizes are large. By analyzing an algorithm before it is actually coded, students can decide if a particular solution will be feasible. For example, in this text students look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from centuries to less than a second. Therefore, no algorithm or data structure is presented without an explanation of its running time. In some cases, minute details that affect the running time of the implementation are explored. Once a solution method is determined, a program must still be written. As computers have become more powerful, the problems they must solve have become larger and more complex, requiring development of more intricate programs. The goal of this text is to teach students good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. This book is suitable for either an advanced data structures course or a first-year graduate course in algorithm analysis. Students should have some knowledge of intermediate programming, including such topics as pointers, recursion, and object-based programming, as well as some background in discrete math.

Distributed Systems(3rd) 英文无水印原版pdf 第3版 pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书
Copyright@ 2017 Maarten van Steen and Andrew S. TanenbaumPublished by Maarten van SteenThis book was previously published by: Pearson Education, IncISBN: 978-15-430573-8-6 (printed version)ISBN: 978-90-815406-2-9(digital version)Edition: 3. Version: 01(February 2017)All rights to text and illustrations are reserved by Maarten van Steen and Andrew S. Tanenbaum. This work maynot be copied, reproduced, or translated in whole or part without written permission of the publisher, except forbrief excerpts in reviews or scholany form of information storageadaptation or whatever, computer software, or by similar or dissimilar methods now known or developed in thefuture is strictly forbidden without written permission of the publisherTo Marielle, max, and elkeMVSTo Suzanne Barbara, Marvin, Aron nathan, olivia, and mirteASTCONTENTSPreface1 Introduction1.1 What is a distributed system?Characteristic 1: Collection of autonomous computing elements 2Characteristic 2: Single coherent systemMiddleware and distributed systems1.2 Design goalsSupporting resource sharingMaking distribution transparent12Being scalable15Pitfalls243 Types of distributed systems24High performance distributed computing25Distributed information systems34Pervasive systems1.4 Summary522 Architectures552. 1 Architectural styles56Layered architectures.57Object-based and service-oriented architectures62Resource-based architectures64Publish-subscribe architectures2.2 Middleware organizationWrappersInterceptors垂番Modifiable middleware752.3 System architectureCONTENTSCentralized organizations76Decentralized organizations: peer-to-peer systemsHybrid architectures2.4 Example architectures94The Network File system94The Web982.5 Summary3 Processes1033.1 Threads..104Introduction to threads104Threads in distributed systems1113.2 Virtualization116Principle of virtualizationapplication of virtual machines to distributed systems,1223.3 Clients124Networked user interfaces124Client-side software for distribution transparency1273.4 Servers128General design issues129Object servers133Example: The Apache Web server139Server clusters,,,,,,,1413.5 Code migration152Reasons for migrating code152Migration in heterogeneous systems1583.6 Summary1614 Communication4.1 Foundations164Layered Protocols164Types of Communication.1724.2 Remote procedure call..173Basic rpc operation174Parameter passing178RPC-based application support182Variations on rPc185Example: dCE rPc,.1884.3 Message-oriented communication193Simple transient messaging with sockets.193Advanced transient messaging198Message-oriented persistent communication206Example: IBM's Web Sphere message-queuing system212Example: Advanced Message Queuing Protocol(AMQP).... 218DS3.01DOWNLOADED BY TEWIGOMI XMAIL. INFOCONTENTS4.4 Multicast communication221Application-level tree-based multicasting221Flooding-based multicasting225Gossip-based data dissemination2294.5 Summary2345 Naming2375.1 Names, identifiers and addresses2385.2 Flat naming.241Simple solutions241Home-based approaches245Distributed hash tables246Hierarchical approaches2515.3 Structured naming256Name spaces.256Name resolution259The implementation of a name space264Example: The Domain Name System271Example: The Network File System2785.4 Attribute-based naming283Directory services283Hierarchical implementations: LDAP285Decentralized implementations2885.5 Summary2946 Coordination2976.1 Clock synchronization.298Physical clocks299Clock synchronization algorithms3026.2 Logical clocks310Lamport' s logical clocks310Vector clocks3166.3 Mutual exclusion321322a centralized algorithm.322a distributed algorithm323a token-ring algorithm.325a decentralized algorithm3266.4 Election algorithms329The bully algorithm.,..330A ring algorithm332Elections in wireless environments333Elections in large-scale systems.3356.5 Location systems336DOWNLOADED BY TEWIGOMIXMAIL. INFODS301VIllCONTENTSGPS: Global Positioning System337When gPs is not an option339Logical positioning of nodes3396.6 Distributed event matching..343Centralized implementations3436.7 Gossip-based coordination349asgregation349A peer-sampling service350Gossip-based overlay construction3526. 8 Summary3537 Consistency and replication3557. 1 Introduction356Reasons for replication356Replication as scaling technique3577.2 Data- centric consistency models358Continuous consistency359Consistent ordering of operations364Eventual consistency3737. 3 Client-centric consistency models375Monotonic readsMonotonic writes.379Read your write380Writes follow reads3827.4 Replica managementFinding the best server location383Content replication and placement..385Content distribution..388Managing replicated objects3937.5 Consistency protocols.396Continuous consistency ..........396Primary-based protocols398Replicated-write protocolsCache-coherence403Implementing client-centric consistency,,...4077.6 Example: Caching and replication in the Web4097.7 Summar4208 Fault toleran4238.1 Introduction to fault tolerance424Basic concepts.424Failuodels427Failure masking by redundancy8.2 Process resilience432DS3.01DOWNLOADED BY TEWIGOMI XMAIL. 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学渣也能读小说！BBC评选：100部小说＋英文原版PDF。BBC通过民意评选选出100部英国人最喜欢的文学作品。评选吸引了140000人参加投票，是上次BBC组织的“百大英国伟人”投票人数的4倍。在“百大作品”的名单上，有文学典籍，也有畅销书目，但是有一点是可以肯定的，大家喜欢的作品一般都有一个好的情节构架。

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for actual real-life applications. One of the reasons that I constantly hear when consulting with clients is that “MATLAB is slow”. This book aims to help reduce this perception and shows that MATLAB programs can in fact be made to run extremely fast, in a wide variety of different ways. MathWorks, who develop MATLAB, invests a significant amount of R&D effort in constantly improving MATLAB’s performance and advocating best practices for improved performance.1 Postings for performance-related R&D jobs are periodically posted2 and the engine’s performance improves with almost every semi-annual MATLAB release. In fact, the same MATLAB programs that might have been slow 10 or more years ago may now be blazingly fast when run using the latest MATLAB release, on the very same platform. Using programming techniques presented in this book, MATLAB applications can be made even faster, fast enough for most uses. This enables significant reduction of the development time and cost, since we can use MATLAB from end to end, from prototyping to deployment, without having to maintain a mirror code–base using a different programming language and environment.

deep learning with python Jason Brownlee 2019 v1.15 原版PDF加代码,截止至2019.3.10最新的电子书+代码资源

30天软件开发:告别瀑布拥抱敏捷 Software in 30 days: how agile managers beat the odds, delight their customers, and leave competitors in the dust