JavaScript Bible is the definitive resource in JavaScript programming.This book is a must-have for any web developer or programmer.

This book describes application development using the Microsoft Windows Application Programming Interface (API), concentrating on the core system services, including the file system, process and thread management, interprocess communication, network programming, and synchronization. The examples concentrate on realistic scenarios, and in many cases they’re based on real applications I’ve encountered in practice. The Win32/Win64 API, or the Windows API, is supported by Microsoft’s family of 32-bit and 64-bit operating systems; versions currently supported and widely used include Windows 7, XP, Vista, Server 2003, Server 2008, and CE. Older Windows family members include Windows 2000, NT, Me, 98, and 95; these systems are obsolete, but many topics in this book still apply to these older systems. The Windows API is an important factor for application development, frequently replacing the POSIX API (supported by UNIX and Linux) as the preferred API for applications targeted at desktop, server, and embedded systems now and for the indefinite future. Many programmers, regardless of experience level, need to learn the Windows API quickly, and this book is designed for them to do so.

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Help for Power Users and Sys Admins It’s simple: if you want to interact deeply with Mac OS X, Linux, and other Unix-like systems, you need to know how to work with the Bash shell. This concise little book puts all of the essential information about Bash right at your fingertips.You’ll quickly find answers to the annoying questions that generally come up when you’re writing shell scripts: What characters do you need to quote? How do you get variable substitution to do exactly what you want? How do you use arrays? Updated for Bash version 4.4, this book has the answers to these and other problems in a format that makes browsing quick and easy.Topics include:,解压密码 share.weimo.info

C# in Depth, Fourth Edition is your key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, you’ll master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more.

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之前下载的书签是坏的，逐一修复了每个章节的书签链接。 This book is a comprehensive introduction and developer's guide to the Eclipse Modeling Framework (EMF). EMF is a powerful framework and code generation facility for building Java applications based on simple model definitions. Designed to make modeling practical and useful to the mainstream Java programmer, EMF unifies three important technologies: Java, XML, and UML. Models can be defined using a UML modeling tool or an XML Schema, or even by specifying simple annotations on Java interfaces. In this last case, the developer writes just a subset of abstract interfaces that describe the model, and the rest of the code is generated automatically and merged back in.

以下是使用等待统计信息分析SQLServer性能并排除故障的实用指南。学习如何准确地确定查询运行缓慢的原因。测量每个瓶颈所消耗的时间，以便您可以首先集中精力进行最大的改进。此版本被更新，以涵盖查询存储中等待统计信息的分析、CXCONSUMER等待事件以及SQLServer 2019年的最新情况。无论您是刚刚开始等待统计，还是已经熟悉这些统计信息，这本书提供了关于等待统计信息是如何生成的以及它们对SQL Server实例的性能意味着什么的更深入的理解。PRO SQL Server 2019等待统计不仅限于最常见的等待类型，还包括更复杂和更具性能威胁的等待类型。您将了解每个查询等待统计信息和基于会话的等待统计信息，以及它们各自可以帮助您解决的问题类型。不同的等待类型按其影响区域分类，包括CPU、IO、Lock等。本书提供了明确的示例，帮助您了解具体的等待时间增加或减少的原因和方式，以及它们如何影响SQLServer的性能。读完这本书后，你将不希望没有等待统计数据提供的有价值的信息，这些信息是关于您应该将有限的调优时间用于最大限度地提高性能和对您的业务的价值。

用wait statistics分析诊断 SQL Server 性能。找出查询慢的原因。对每个瓶颈计时以专注于做出最大的改进。这本书已经更新，讲述在Query Store分析wait statistics , CXCONSUMER wait 事件, 以及SQL Server 2019最新进展.

Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning. Once the core concepts of an algorithm have been covered, you’ll explore real-world examples based on the most diffused libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.