深入浅出Android

《深入浅出Android源代码：基于Android6.0和实际开发案例剖》基于Android6.0源代码和实际案例，分析Android系统的框架原理和具体实现。由于Android框架里模块众多，《深入浅出Android源代码：基于Android6.0和实际开发案例剖》只详细分析了框架里的一部分模块，涉及这些模块的原理、架构及代码实现等各个细节，尽量做到让读者知其然，又知其所以然。在Android官方网站，Android分了4层，从高到低分别是应用程序层、应用程序框架层、系统库层和Linux内核层。《深入浅出Android源代码：基于Android6.0和实际开发案例剖》主要涉及应用程序层、应用程序框架层和系统库层。 希望读者通过《深入浅出Android源代码：基于Android6.0和实际开发案例剖》，能对Android有个更全面、更深入的理解。《深入浅出Android源代码：基于Android6.0和实际开发案例剖》面向的读者主要是Framework框架工程师、系统开发工程师、应用开发工程师和ROM开发工程师。

重构改善既有代码的设计

Martin Fowler和《重构:改善既有代码的设计》(中文版)另几位作者清楚揭示了重构过程，他们为面向对象软件开发所做的贡献，难以衡量。《重构:改善既有代码的设计》(中文版)解释重构的原理（principles）和最佳实践方式（best practices），并指出何时何地你应该开始挖掘你的代码以求改善。《重构:改善既有代码的设计》(中文版)的核心是一份完整的重构名录（catalog of refactoring），其中每一项都介绍一种经过实证的代码变换手法（code transformation）的动机和技术。某些项目如Extract Method和Move Field看起来可能很浅显，但不要掉以轻心，因为理解这类技术正是有条不紊地进行重构的关键。点击进入该书更多详细信息。

Python练习集100题

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL). This tutorial gives enough understanding on Python programming language. Audience This tutorial is designed for software programmers who need to learn Python programming language from scratch. Prerequisites You should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages is a plus.

JavaScript Python Git 教程

Python是一种计算机程序设计语言。你可能已经听说过很多种流行的编程语言，比如非常难学的C语言，非常流行的Java语言，适合初学者的Basic语言，适合网页编程的JavaScript语言等等。 那Python是一种什么语言？ 首先，我们普及一下编程语言的基础知识。用任何编程语言来开发程序，都是为了让计算机干活，比如下载一个MP3，编写一个文档等等，而计算机干活的CPU只认识机器指令，所以，尽管不同的编程语言差异极大，最后都得“翻译”成CPU可以执行的机器指令。而不同的编程语言，干同一个活，编写的代码量，差距也很大。 比如，完成同一个任务，C语言要写1000行代码，Java只需要写100行，而Python可能只要20行。 所以Python是一种相当高级的语言。 你也许会问，代码少还不好？代码少的代价是运行速度慢，C程序运行1秒钟，Java程序可能需要2秒，而Python程序可能就需要10秒。 那是不是越低级的程序越难学，越高级的程序越简单？表面上来说，是的，但是，在非常高的抽象计算中，高级的Python程序设计也是非常难学的，所以，高级程序语言不等于简单。 但是，对于初学者和完成普通任务，Python语言是非常简单易用的。连Google都在大规模使用Python，你就不用担心学了会没用。 用Python可以做什么？可以做日常任务，比如自动备份你的MP3；可以做网站，很多著名的网站包括YouTube就是Python写的；可以做网络游戏的后台，很多在线游戏的后台都是Python开发的。总之就是能干很多很多事啦。 Python当然也有不能干的事情，比如写操作系统，这个只能用C语言写；写手机应用，只能用Swift/Objective-C（针对iPhone）和Java（针对Android）；写3D游戏，最好用C或C++。 如果你是小白用户，满足以下条件： 会使用电脑，但从来没写过程序； 还记得初中数学学的方程式和一点点代数知识； 想从编程小白变成专业的软件架构师； 每天能抽出半个小时学习。 不要再犹豫了，这个教程就是为你准备的！

SAS programming in the pharmaceutical industry

This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry This one-stop resource offers a complete review of what entry- to intermediate-level statistical programmers need to know in order to help with the analysis and reporting of clinical trial data in the pharmaceutical industry. SAS Programming in the Pharmaceutical Industry, Second Edition begins with an introduction to the pharmaceutical industry and the work environment of a statistical programmer. Then it gives a chronological explanation of what you need to know to do the job. It includes information on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. This edition has been updated for SAS 9.4, and it features new graphics as well as all new examples using CDISC SDTM or ADaM model data structures. Whether you're a novice seeking an introduction to SAS programming in the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, this real-world reference guide offers a wealth of practical suggestions to help you sharpen your skills. This book is part of the SAS Press program.

Microsoft SQL Server Blackbook

Welcome to the world of Microsoft SQL Server! Here is finally a client/server database product that can deliver world-class performance at a price that most enterprises can afford not only to purchase, but also to support. SQL Server’s ease of use, coupled with the incredible feature set that accompanies it, delivers enterprise-level client/server computing to everyone. Microsoft SQL Server Black Book will focus on the tasks involved in harnessing Microsoft SQL Server’s capabilities to create a solid production data server. This book focuses on the current release of Microsoft SQL Server while using many techniques that can be applied as far back as version 4.21.

Microsoft SQL Server 2012 tutorials - writing transact-sql statements

This book expresses the author’s views and opinions. The information contained in this book is provided without any express, statutory, or implied warranties. Neither the authors, Microsoft Corporation, nor its resellers, or distributors will be held liable for any damages caused or alleged to be caused either directly or indirectly by this book.

新手福利：Apache Spark入门攻略

时下，我们正处在一个“大数据”的时代，每时每刻，都有各种类型的数据被生产。而在此紫 外，数据增幅的速度也在显著增加。从广义上看，这些数据包含交易数据、社交媒体内容(比 如文本、图像和视频)以及传感器数据。那么，为什么要在这些内容上投入如此多精力，其 原因无非就是从海量数据中提取洞见可以对生活和生产实践进行很好的指导。

Machine Learning an Algorithmic Perspective

Written in an easily accessible style, this book provides the ideal blend of theory and practical, applicable knowledge. It covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python.

Bayesian Reasoning and Machine Learning

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.