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智普教育奉献！本书从Hadoop 的缘起开始，由浅入深，结合理论和实践，全方位地介绍Hadoop 这-高性能 处理海量数据集的理想工具。全书共16 章， 3 个附录，涉及的主题包括: Haddoop 简介; MapReduce 简介; Hadoop 分布式文件系统; Hadoop 的ν0 、MapReduce 应用程序开发; MapReduce 的工作 机制; MapReduce 的类型和格式; MapReduce 的特性:如何构建Hadoop 集群等技术。

Hadoop The Definitive Guide,2Ed.pdf之第2版。 现今有关大数据分析技术正如火如荼的发展，本书肯定是Hadoop经典书籍，欢迎下载阅读或参考！书从Hadoop 的缘起开始，由浅入深，结合理论和实践，全方位地介绍Hadoop 这-高性能处理海量数据集的理想工具。

现今有关大数据分析技术正如火如荼的发展，本书肯定是Hadoop经典书籍，欢迎下载阅读或参考！书从Hadoop 的缘起开始，由浅入深，结合理论和实践，全方位地介绍Hadoop 这-高性能处理海量数据集的理想工具。

目前能网罗到的少有的几本有关Python的云计算的电子书，智普教育亲情奉献～，OpenStack Beginner’s Guide for Ubuntu Natty.pdf

Python云计算不可多得的几本有关OpenStack的书籍，OpenStack Cloud Computing Cookbook 2012.pdf

How To Do Everything With Javascript.pdf Html-Javascript-Tutorial.pdf Javascript Demystified (2013).pdf JavaScript Examples Bible.pdf JavaScript Pocket Reference 2nd Edition.pdf JavaScript Reference Guide.bak.pdf Javascript 王者归来.pdf Manning Third-Party JavaScript (2013).pdf The Book Of Javascript, 2ed,.pdf High.Performance.JavaScript.pdf JavaScript.The.Definitive.Guide.5th.Edition.pdf

The Javascript Pocket Guide (2010).pdf Java Script Bible 4th Edition - Hungry Minds.pdf JavaScript Professional Skills Development.pdf Pro.Android.Web.Game.Apps.Using.HTML5.CSS3.and.JavaScript.pdf Foundation HTML5 Animation with Javascript (2012).pdf JavaScript.Testing.with.Jasmine(2013.3).pdf Pragmatic.Guide.to.JavaScript.pdf Professional Javascript for Web Developers (Wrox 2005).pdf

[Python编程(第4版)].(Programming.Python.4th.Edition).Mark.Lutz.文字版(0).pdf

Python学习手册，经典教程，第4版， Learning Python 4Th.pdf

全书收罗各类计算机程序员面试题，希望对您有参考价值！

it程序都知道的那点事儿！一些国外大牛们的建议，没事看看也许有益。

numpy是python实现的科学计算包。目前基于python大数据分析基本都是使用NumPy这个工具包完成的，所以如果想从事大数据分析相关工作，学习numPy技术必不可少。本书详细介绍了python下的numPy编程和使用，是一本不可多得的讲述NumPy的书籍。

本书主要是通过近70个鲜活的使用NumPy进行数据分析的例子来讲述如何使用NumPy进行数据分析和科学计算。numpy是python实现的科学计算包。目前基于python大数据分析基本都是使用NumPy这个工具包完成的，所以如果想从事大数据分析相关工作，学习numPy技术必不可少。本书详细介绍了python下的numPy编程和使用，是一本不可多得的讲述NumPy的书籍。

numpy是python实现的科学计算包。目前基于python大数据分析基本都是使用NumPy这个工具包完成的，所以如果想从事大数据分析相关工作，学习numPy技术必不可少。本书详细介绍了python下的numPy编程和使用，是一本不可多得的讲述NumPy的书籍。

Fundamentals of Python From First Programs through Data Structures - 2009.pdf

How To Think Like A (Python) Programmer - Downey (2007).pdf

Prentice Hall - Deitel - Python how to program.pdf

Data Analysis And Decision Making, 4ed - 2011.pdf

Mysql For Python (2010).pdf Every chapter starts with an explanation of the various areas for using MySQL for Python and ends with work on a sample application using the programming calls just learned.

This book is about writing real-world applications for the Android platform primarily using the Python language and a little bit of JavaScript. While there is nothing wrong with Java, it really is overkill when all you need to do is turn on or off a handful of settings on your Android device. The Scripting Layer for Android (SL4A) project was started to meet that specific need. This book will introduce you to SL4A and give you the power to automate your Android device in ways you never thought possible.

Addison Wesley Python Essential Reference 4Th Edition Jun 2009.pdf

Python for Data Analysis 2013 pdf is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.