语言是交流的工具，而口语尤为重要。现代社会，不善于交流将失去许多机会，也无法很好地与别人的协作。可以说，人际矛盾的产生大多数都可归于交流不畅，而避免这种矛盾的有效的办法就是熟悉对方语言，增加共识，进行有效的交流沟通。

寄宿家庭，顾名思义，并非住在自己家里，而是寄住在别人的家庭，和其他家庭的家人一起生活，当然，这里特指外国人家庭。寄宿家庭为留学生提供了一个学习、享受外国生活方式、体验外国文化的平台。是独自在外求学的留学生有方向的学习、体验的一个非常好的机会。所以，寄宿家庭是很多留学生出国留学的首要考量。

针对初学者的需要，列举了韩语中常用的基础语法词汇，同时详述了用法、适用场合，并举出了会话实例、常用句子，让读者学以所用。还配有简易拼音发音表，可以帮助初学者更快地掌握韩语发音。地道的MP3文件更能让读者接触到原味的韩国语，使读者养成良好的发音习惯。 赠送听力MP3：http://e.dangdang.com/html/mp3/bb.136825452476707363.rar>>

这本《从零开始学日语，这本就够》满足了初学者的所有要求。不仅封面大方美观，内容更是丰富多彩。从基础的“五十音图”入门，到日常生活、青春校园、职场风云、诗歌、歌词等，几乎涵盖了所有你能想到的，以及你若是有机会去日本旅游生活或是工作能够用到的所有方面。

日文可易可难。日文逐渐受到人们青睐，因为其上手简单。但简单入门后，你会发现，越往里面钻研，就越复杂，出现的新问题也越多。在这段瓶颈期，你面对的是繁冗的词汇、变幻的语法、复杂的敬语等等。

现今，互联网资源十分发达，相信大家对日语都不是那么陌生。若你真正想学好日语，认真选择入门书籍的话，这本《我的本日语单词学习书》*是*。其实任何语言的学习都是一样，只要努力学习记忆，发现其中的乐趣，一切难题就都会迎刃而解。

Get started with Amazon S3 for virtually unlimited cloud and Internet storageAbout This BookFamiliarize yourself with the concepts of Amazon S3Understand basic operations of bucket, folders, and objects using Amazon S3 SDK JavaLeverage the power of Amazon S3 to effectively store and retrieve data Who This Book Is For This book is intended for System Engineers/ Developers, Software Architects, Project managers, and users who want to explore Amazon S3 SDK Java. If you want to learn about Amazon S3 quickly, then this book is for you. Basic knowledge of Java programming is expected.What You Will LearnStart with the basic concepts of Amazon S3 to get you goingUse Copy Object and Multipart Copy Object for objects of different sizesUnderstand how to use the amazon management console for Amazon S3Learn how to use the AWS SDK of Java and consume the Amazon S3Get to grips with managing the bucket life cycleConfigure CORS to share resources to a different domainDiscover how to develop and deploy the static website on Amazon S3 using different services of Amazon In Detail Amazon Simple Storage Service (Amazon S3), provides developers and IT teams with secure, durable, and highly-scalable object storage. Amazon S3 is easy to use, with a simple web services interface to store and retrieve any amount of data from anywhere on the web. S3 is automatically web scalable and responds to the requirements of your application and traffic, and therefore offers a key element to help companies deal dynamically with any spike in traffic for their application (such as a free e-book offer). This book starts with the basics of the Amazon S3 and its features, and you will quickly get an understanding how to use the Amazon Management Console for Amazon S3 which is the simplest way to manage Amazon S3. Next, we will cover basic operations on bucket, folder, objects. Once the basic operations are understood, you will know how to use Amazon S3 using Java SDK. Following that, you will learn about Copy Objects and Multipart copy objects for large objects size. You will also learn to manage the life cycle of bucket and how to share resources to the different domain by configuring CORS. The book will then guide you through the development and deployment of a static website on Amazon S3 using different services of Amazon. By the end of the book, you will be able to create a scalable application using Amazon S3.Style and approach This fast-paced book is a pragmatic guide to writing Amazon S3 applications. Each chapter is blended beautifully with lucid concepts and pertinent examples.

Quickly get up to speed with MariaDB—the leading, drop-in replacement for MySQL, through this practical tutorialAbout This BookGet to know the basic SQL queries so you can quickly start using MariaDBTake control of your data through the advanced features of MariaDBExploit the full potential of MariaDB’s exclusive features through quick, practical examples Who This Book Is For If you don't know the SQL language, but you want to quickly jump into the SQL world and learn how to use MariaDB, or if you already know how to use MySQL but you want to go further, then this book is ideal for you.What You Will LearnInstall and configure MariaDBCreate databases, tables, and indexesImport and export data from and to external filesWork with views and virtual columnsCreate, read, update, and delete records in your databaseUse dynamic columnsSet up a powerful full-text search systemAccess your external data from MariaDB through the CONNECT engine In Detail This book will take you through all the nitty-gritty parts of MariaDB, right from the creation of your database all the way to using MariaDB’s advanced features. At the very beginning, we show you the basics, that is, how to install MariaDB. Then, we walk you through the databases and tables of MariaDB, and introduce SQL in MariaDB. You will learn about all the features that have been added in MariaDB but are absent in MySQL. Moving on, you’ll learn to import and export data, views, virtual columns, and dynamic columns in MariaDB. Then, you’ll get to grips with full-text searches and queries in MariaDb. You’ll also be familiarized with the CONNECT storage engine. At the end of the book, you’ll be introduced to the community of MariaDB.Style and approach This is a complete guide that uses concrete examples to help you understand and exploit the full potential of MariaDB.

Build dynamic, data-driven websites and modern web applications with Flask About This Book Discover the most popular Flask resources on the web with ease Familiarize yourself with third-party libraries commonly used with Flask Create a fast, interactive, and secure web app with this hands-on guide Who This Book Is For This book is for anyone who wants to develop their knowledge of Python into something that can be used on the web. Flask follows the Python design principles and can be easily understood by anyone who knows Python, and even by those who do not. What You Will Learn Create your web pages to add modularity and flexibility to your web app using templates Store and retrieve relational data using SQLAlchemy Develop schema migrations with Alembic Produce an admin section using flask-admin Build RESTful APIs using Flask-Restless Simulate requests and sessions using the Flask test client Make Ajax requests from Jinja2 templates In Detail Flask is a small and powerful web development framework for Python. It does not presume or force a developer to use a particular tool or library. Flask supports extensions that can add application features as if they were implemented in Flask itself. Flask’s main task is to build web applications quickly and with less code. With its lightweight and efficient web development framework, Flask combines rapid development and clean, simple design. This book will take you through the basics of learning how to apply your knowledge of Python to the web. Starting with the creation of a “Hello world” Flask app, you will be introduced to the most common Flask APIs and Flask’s interactive debugger. You will learn how to store and retrieve blog posts from a relational database using an ORM and also to map URLs to views. Furthermore, you will walk through template blocks, inheritance, file uploads, and static assets. You will learn to authenticate users, build log in/log out functionality, and add an administrative dashboard for the blog. Moving on, you will discover how to make Ajax requests from the template and see how the Mock library can simplify testing complex interactions. Finally, you will learn to deploy Flask applications securely and in an automated, repeatable manner, and explore some of the most popular Flask resources on the web. Style and approach A comprehensive guide packed with real-world examples and popular use cases; starting with basic overviews and diving into the practical aspects of Flask Framework.

Utilize ServiceStack as the rock solid foundation of your distributed systemAbout This BookTake advantage of the various data providers to access authentication and authorization, sessions, cache, and databaseLeverage asynchronous processing for decoupling components to ease scalingMonitor and tune the performance of your distributed system Who This Book Is For Mastering ServiceStack is targeted at developers who have already implemented web services with ASMX, WCF, or ServiceStack and want to gain more insight into the possibilities ServiceStack has to offer to build distributed systems of all scales.What You Will LearnDesign a prudent and resilient API, following the RESTful designUnderstand the internal processing chain and utilize the provided hooksIncorporate ServiceStack as a full service provider to your existing distributed systemLeverage the power of asynchronous processing and add message queues to your architectureAnalyze and tune the performance of your service In Detail Mastering ServiceStack covers real-life problems that occur over the lifetime of a distributed system and how to solve them by deeply understanding the tools of ServiceStack. Distributed systems is the enterprise solution that provide flexibility, reliability, scaling, and performance. ServiceStack is an outstanding tool belt to create such a system in a frictionless manner, especially sophisticated designed and fun to use. The book starts with an introduction covering the essentials, but assumes you are just refreshing, are a very fast learner, or are an expert in building web services. Then, the book explains ServiceStack's data transfer object patterns and teach you how it differs from other methods of building web services with different protocols, such as SOAP and SOA. It also introduces more low-level details such as how to extend the User Auth, message queues and concepts on how the technology works. By the end of this book, you will understand the concepts, framework, issues, and resolutions related to ServiceStack.Style and approach A step-by-step approach that follows the natural requirements of a distributed system in a conversational style.

Get started with Python for data analysis and numerical computing in the Jupyter notebookAbout This BookLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy, matplotlib, and seabornPerform highly-efficient numerical computations with Numba, Cython, and ipyparallel Who This Book Is For This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know.What You Will LearnInstall Anaconda and code in Python in the Jupyter NotebookLoad and explore datasets interactivelyPerform complex data manipulations effectively with pandasCreate engaging data visualizations with matplotlib and seabornSimulate mathematical models with NumPyVisualize and process images interactively in the Jupyter Notebook with scikit-imageAccelerate your code with Numba, Cython, and IPython.parallelExtend the Notebook interface with HTML, JavaScript, and D3 In Detail Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data.Style and approach This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.

Look at the pigs playing in the mud. I see three little pigs, and they’re all having fun.

En El Zoológico

Papa Cardinal and his chicks huddled in a rose bush. Raindrops splish-sploshed all around them.

"Hello. How are you?" "I am fine. How are you?"

This old man, he played one . He played knick knack on my thumb .

After living in the Midwest most of my fifty-plus years, I moved to the beautiful northwest state of Washington. My son and his wife lived in the Seattle area, and they were expecting my first grandchild. Despite the fact that I left my friends in Colorado by choice, it was no less difficult making new friends in the town in which I was residing.

Master the art of digital forensics and analysis with PythonAbout This BookLearn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworksAnalyze Python *s to extract metadata and investigate forensic artifactsThe writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigations Who This Book Is For If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you. Some Python experience would be helpful.What You Will LearnExplore the forensic analysis of different platforms such as Windows, Android, and vSphereSemi-automatically reconstruct major parts of the system activity and time-lineLeverage Python ctypes for protocol decodingExamine artifacts from mobile, Skype, and browsersDiscover how to utilize Python to improve the focus of your analysisInvestigate in volatile memory with the help of volatility on the Android and Linux platforms In Detail Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we’ll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox. Moving on, you’ll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python *s and tools. You’ll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you’ll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android. Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules.Style and approach This easy-to-follow guide will demonstrate forensic analysis techniques by showing you how to solve real-word-scenarios step by step.

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and MatplotlibCreate, manipulate, and analyze your data to extract useful information to optimize your systemA hands-on guide to help you learn data analysis using Python Who This Book Is For If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to the python data analysis libraries, then this book is for you.What You Will LearnUnderstand the importance of data analysis and get familiar with its processing stepsGet acquainted with Numpy to use with arrays and array-oriented computing in data analysisCreate effective visualizations to present your data using MatplotlibProcess and analyze data using the time series capabilities of PandasInteract with different kind of database systems, such as file, disk format, Mongo, and RedisApply the supported Python package to data analysis applications through examplesExplore predictive analytics and machine learning algorithms using Scikit-learn, a Python library In Detail Data analysis is the process of applying logical and analytical reasoning to study each component of data. Python is a multi-domain, high-level, programming language. It’s often used as a *ing language because of its forgiving syntax and operability with a wide variety of different eco-systems. Python has powerful standard libraries or toolkits such as Pylearn2 and Hebel, which offers a fast, reliable, cross-platform environment for data analysis. With this book, we will get you started with Python data analysis and show you what its advantages are. The book starts by introducing the principles of data analysis and supported libraries, along with NumPy basics for statistic and data processing. Next it provides an overview of the Pandas package and uses its powerful features to solve data processing problems. Moving on, the book takes you through a brief overview of the Matplotlib API and some common plotting functions for DataFrame such as plot. Next, it will teach you to manipulate the time and data structure, and load and store data in a file or database using Python packages. The book will also teach you how to apply powerful packages in Python to process raw data into pure and helpful data using examples. Finally, the book gives you a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or build helpful products, such as recommendations and predictions using scikit-learn.Style and approach This is an easy-to-follow, step-by-step guide to get you familiar with data analysis and the libraries supported by Python. Topics are explained with real-world examples wherever required.

Create, package, and customize stunning themes using PrimeFacesAbout This BookBuild PrimeFaces themes that meet the industry standardsCustomize your themes for mobile web applications with PrimeFaces MobileA precise, example-oriented guide to help you create interesting themes using the PrimeFaces tools Who This Book Is For If you are a Web Designer who wants to create and modify PrimeFaces themes then this book is for you. Basic knowledge of JSF, CSS, and HTML is assumed.What You Will LearnUse Maven to create JSF ProjectsCreate a custom theme using JQuery UI toolsPackage your theme for distribution and use your PrimeFaces-based web applications as drop in librariesDevelop additional dynamic look and feel elements that themes do not already supplyApply look and feel elements dynamically to views without causing page refreshesReduce code repetition by applying page templates to your JSF project In Detail Developing stunning themes for web applications has never been easier! PrimeFaces delivers a powerful set of features that enables JSF developers to create and customize awesome themes on the web. It is very easy to use because it comes as a single JAR file and requires no mandatory XML configuration. With more than 30 out-of-the-box themes, jQuery integration, a mobile UI toolkit, Ajax Push technology, and much more, PrimeFaces takes JSF application development to a whole new level! This book is a hands-on example-rich guide to creating and customizing PrimeFaces themes using available tools. Beginning with creating a JSF project and integrating the PrimeFaces library, this book will introduce you to the features of theme components, how these are structured, and how PrimeFaces uses JQuery UI to apply a theme to your application. You will learn to examine and change the CSS rules and get creative by setting standard icons and adding new icons to them. You will use a combination of JavaScript and CSS to enhance your application with help of scheduler component and go on to adapt and package your custom theme so that it is compatible with the Resource Manager. Finally, you will explore PrimeFaces mobile apps, ensuring themes are compatible with your mobile applications best practices for theme design.Style and approach This book is a concise, hands-on guide to developing PrimeFaces themes, working from the ground up with examples in each topic implemented in a web application. You will be encouraged to explore areas of your own interest without the requirement to stick to the letter of the chapter.

Create your own massively scalable Cassandra database with highly responsive database queries About This Book Create a Cassandra cluster and tweak its configuration to get the best performance based on your environment Analyze the key concepts and architecture of Cassandra, which are essential to create highly responsive Cassandra databases A fast-paced and step-by-step guide on handling huge amount of data and getting the best out of your database applications Who This Book Is For If you are a developer who is working with Cassandra and you want to deep dive into the core concepts and understand Cassandra’s non-relational nature, then this book is for you. A basic understanding of Cassandra is expected. What You Will Learn Install and set up your Cassandra Cluster using various installation types Use Cassandra Query Language (CQL) to design Cassandra database and tables with various configuration options Design your Cassandra database to be evenly loaded with the lowest read/write latencies Employ the available Cassandra tools to monitor and maintain a Cassandra cluster Debug CQL queries to discover why they are performing relatively slowly Choose the best-suited compaction strategy for your database based on your usage pattern Tune Cassandra based on your deployment operation system environment In Detail Apache Cassandra Essentials takes you step-by-step from from the basics of installation to advanced installation options and database design techniques. It gives you all the information you need to effectively design a well distributed and high performance database. You’ll get to know about the steps that are performed by a Cassandra node when you execute a read/write query, which is essential to properly maintain of a Cassandra cluster and to debug any issues. Next, you’ll discover how to integrate a Cassandra driver in your applications and perform read/write operations. Finally, you’ll learn about the various tools provided by Cassandra for serviceability aspects such as logging, metrics, backup, and recovery. Style and approach This step-by-step guide is packed with examples that explain the core concepts as well as advanced concepts, techniques, and usages of Apache Cassandra.