Holtodiglan

C?teva dintre calit??ile pe care eu le apreciez cel mai mult la o carte sunt simplitatea scriiturii, lipsa de preten?ii intelectuale (prin intermediul c?rora autorul ar vrea s? arate c?t e el de de?tept) ?i naturale?ea textului, adic? autenticitatea. ?#confuz” are toate aceste calit??i. ?n plus, cartea mai beneficiaz? de c?teva atuuri foarte importante: povestea este una universal?, plin? de ?nt?mpl?ri credibile, care se pot ?nt?mpla oric?rui om ?i care pot avea loc oriunde ?n lume, iar scriitura are o oralitate u?or de identificat ?nc? de la primele pagini. (Adrian Tele?pan) ?#confuz” nu e o carte despre homosexualitate. E o carte despre oameni. Despre drumul fiec?ruia spre el ?nsu?i. Despre puterea de a accepta ce g?se?ti atunci c?nd ajungi la tine. Despre a nu te (mai) min?i. Nu atunci c?nd e?ti singur ?i gol ?i te prive?ti ?n ochii sufletului. Pentru c?, atunci, nu ?i vei mai min?i nici pe al?ii. Iar ?sta e primul pas spre asumare. ?i numai a?a vei putea fi fericit. ?#confuz” e o carte despre fericire. Copile, via?a e prea scurt? pentru a fi nefericit. Vrei s? fii o alt? umbr? care trece indiferent? prin via??? (Laura Nureldin) ?ti?i melodiile alea pe care le auzi o singur? dat? ?i te treze?ti fredon?ndu-le o or? mai t?rziu? E semn c? au intrat ?n tine. Cam a?a e ?i cu cartea asta. Nu e Beethoven. E un c?ntec care pare n?scut la o chitar?, pe plaj?, l?ng? un foc de tab?r?, sub luna plin?. ?l ascul?i z?mbind ?i ??i d? o stare de plin. ??i r?m?ne pe piele ca ni?te fire de nisip. G?ndul nu ??i fuge ?n alt? parte. E?ti acolo, ascul?i ?i admiri sinceritatea omului care improvizeaz? la chitar? f?r? s? ?ncerce s? ??i demonstreze nimic. C?nt? liber despre ceva-ul lui, timpul trece pe nesim?ite, s?dind ?n tine o senza?ie de bine. S? mai c?n?i, Alex! S? mai c?n?i! (Natalie Ester) Dincolo de sui?uri ?i cobor??uri, de momente-surpriz? ?i certuri interminabile, de scene erotice pasionale ?i absurd cotidian, acest roman e un incredibil de reu?it portret al energiei s?lbatice, al confuziei mascate ?n obstina?ie, pe care numai la 20 de ani o po?i tr?i. ?i tu, drag? cititorule, ai fost confuz odat?. ?i ce bine a fost. Lectur? pl?cut?. (Lorena Lupu)

Motanul, romanul din 1997 al lui Pat Gray, este o alegorie politic? plin? de umor. C?nd animalele se v?d r?mase singure ?n casa p?r?sit? de st?p?ni, huzurul pa?nic de p?n? atunci las? locul luptei pentru supravie?uire ?i putere. Ce ambi?ii are Motanul? Ce pune la cale ?obolanul? Ce g?nde?te meditativul ?oarece? Vom afla din aceast? poveste care a fost pe bun? dreptate comparat? de critici cu Ferma animalelor orwellian?.

Rendhagyó útinapló egy egzotikus világról és a n?i lélekr?l Akkor kezdtem ábrándozni a ?sz?késr?l”, amikor gyerekkoromban beszereztem egy már akkor is ciki pálmafás-tengerpartos posztert a zsebpénzemb?l, és felragasztottam a gyerekszobám falára, nem zavartatva magam szüleim d?bbent pillantásától. Attól kezdve a téli estéken odaképzeltem magam a kókuszpálma alá, ahol h?ség van, és – bár akkor még nem jártam tengerparton – szinte hallottam a tenger zúgását, egészen elalvásig. Elérkezett az id?, hogy beváltsam a magamnak tett ígéretet, és teljesülj?n a gyerekkori álmom: néhány éve télen ?megsz?ktem” kedvenc városomba, Bangkokba, és k?rbeutaztam Délkelet-?zsiát. Találkozásokról, naplementékr?l, ázsiai mesékr?l és elképeszt? sorsokról, egzotikus nagyvárosi lüktetésr?l, lakatlan szigetekr?l és egy másfajta életszemléletr?l szól ez a k?nyv, amit egy thai pálma alatt kezdtem írni. ?t forró, napsütéses téli hónap alatt sokat tanultam, és szinte minden megváltozott bennem és k?rül?ttem: a sors akaratából megtanultam elengedni, sorsfordító d?ntéseket hoztam, szembenéztem ?nmagammal, az újságíróval, a n?vel, az emberrel, mint talán még soha azel?tt. Ez a k?nyv nem a képzelet szüleménye, de ahányszor beleolvasok, a képzeletemben újra utazom, újra ott vagyok azok k?z?tt az emberek k?z?tt, akikt?l meg lehet tanulni ?LNI. Csupa nagybet?vel. Fej?s ?va

本書運用現代語言學方法，將粵語作為一個完整的語言系統，從詞彙、詞法、句法等方面，全面論述粵語語法上的種種表現，兼論粵語音系和各種拼音系統的異同。一方面可作為研究和學習粵語的教材，讓讀者對粵語的語言特點有較為完整的認識，；另一方面，以讀者熟悉的具體語言事實來說明比較抽象的理論，做到既能介紹粵語特色，又能普及語言學基本概念，亦適合所有對粵語有興趣的普通讀者閱讀。

If you are interested in quantitative finance, financial modeling, and trading, or simply want to learn how Python and pandas can be applied to finance, then this book is ideal for you. Some knowledge of Python and pandas is assumed. Interest in financial concepts is helpful, but no prior knowledge is expected.

This book follows a standard tutorial approach with approximately 750 code samples spread through the 19 chapters. This amounts to over 5,900 lines of code that illustrate each concept. This book is aimed at programmers who have already learned the basics of objectoriented Python and need to write more sophisticated, flexible code that integrates seamlessly with the rest of Python. This book assumes a computer science background, with experience of common Python design patterns.

This book is intended for Python programmers interested in learning how to do natural language processing. Maybe you’ve learned the limits of regular expressions the hard way, or you’ve realized that human language cannot be deterministically parsed like a computer language. Perhaps you have more text than you know what to do with, and need automated ways to analyze and structure that text. This Cookbook will show you how to train and use statistical language models to process text in ways that are practically impossible with standard programming tools. A basic knowledge of Python and the basic text processing concepts is expected. Some experience with regular expressions will also be helpful.

Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana About This Book Solve all your data analytics problems with the ELK stack Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the features and plugins of Logstash Develop a complete data pipeline using the ELK stack Who This Book Is For If you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources, of various formats and types, using the open source technology stack that ELK provides, then this book is for you. Basic knowledge of Unix or any programming language will be helpful to make the most out of this book. What You Will Learn Install, configure, and run Elasticsearch, Logstash, and Kibana Understand the need for log analytics and the current challenges in log analysis Build your own data pipeline using the ELK stack Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides Build your own custom Logstash plugin Create actionable insights using charts, histograms, and quick search features in Kibana4 Understand the role of Elasticsearch in the ELK stack In Detail The ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before. This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You’ll move on to building a basic data pipeline using the ELK stack. Next, you’ll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps. Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components. Style and approach This book is a step-by-step guide, complete with various examples to solve your data analytics problems by using the ELK stack to explore and visualize data.

Use PyCharm with fluid efficiency to write idiomatic python codeAbout This BookUnderstand how PyCharm works and how you can leverage its strength to develop applications quicklyMaster PyCharm’s editor to get a fast workflowFull of examples and illustrations that focus on the practical aspects of using PyCharm Who This Book Is For If you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python’s most prominent tools such as virtualenv and Python’s popular docstring formats such as reStructuredText and EpyType.What You Will LearnUnderstand the internal workings of the IntelliJ PlatformLeverage PyCharm’s powerful search tools, and learn which ones are the best for you and your workflowCustomize PyCharm’s enhanced Python interpreter and its inbuilt terminalDevelop web applications quickly and easily with different frameworks such as Flask and DjangoUnderstand how code completion works in PyCharm for Python and JavaScript In Detail PyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications. From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you. You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform. You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists. You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm’s toolset for web development with popular platforms. Packed with insider tricks, this book will help you boost productivity with PyCharm.Style and approach An easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models. About This Book ? Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner ? Learn the design patterns of deep neural architectures to build efficient and powerful networks on your datasets ? Apply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models. Who This Book Is For This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets. Some basic skills in Python programming and computer science will help, as well as skills in elementary algebra and calculus. What You Will Learn ? Get familiar with Theano and deep learning ? Provide examples in supervised, unsupervised, generative, or reinforcement learning. ? Discover the main principles for designing efficient deep learning nets: convolutions, residual connections, and recurrent connections. ? Use Theano on real-world computer vision datasets, such as for digit classification and image classification. ? Extend the use of Theano to natural language processing tasks, for chatbots or machine translation ? Cover artificial intelligence-driven strategies to enable a robot to solve games or learn from an environment ? Generate synthetic data that looks real with generative modeling ? Become familiar with Lasagne and Keras, two frameworks built on top of Theano In Detail This book offers a complete overview of Deep Learning with Theano, a Python-based library that makes optimizing numerical expressions and deep learning models easy on CPU or GPU. The book provides some practical code examples that help the beginner understand how easy it is to build complex neural networks, while more experimented data scientists will appreciate the reach of the book, addressing supervised and unsupervised learning, generative models, reinforcement learning in the fields of image recognition, natural language processing, or game strategy. The book also discusses image recognition tasks that range from simple digit recognition, image classification, object localization, image segmentation, to image captioning. Natural language processing examples include text generation, chatbots, machine translation, and question answering. The last example deals with generating random data that looks real and solving games such as in the Open-AI gym. At the end, this book sums up the best -performing nets for each task. While early research results were based on deep stacks of neural layers, in particular, convolutional layers, the book presents the principles that improved the efficiency of these architectures, in order to help the reader build new custom nets. Style and approach It is an easy-to-follow example book that teaches you how to perform fast, efficient computations in Python. Starting with the very basics-NumPy, installing Theano, this book will take you to the smooth journey of implementing Theano for advanced computations for machine learning and deep learning.

Build scalable, reliable, and cost-effective applications with a serverless architecture About This Book ? Design a real-world serverless application from scratch ? Learn about AWS Lambda function and how to use Lambda functions to glue other AWS Services ? Use the Java programming language and well-known design patterns. Although Java is used for the examples in this book, the concept is applicable across all languages ? Learn to migrate your JAX-RS application to AWS Lambda and API Gateway Who This Book Is For This book is for developers and software architects who are interested in designing on the back end. Since the book uses Java to teach concepts, knowledge of Java is required. What You Will Learn ? Learn to form microservices from bigger Softwares ? Orchestrate and scale microservices ? Design and set up the data flow between cloud services and custom business logic ? Get to grips with cloud provider’s APIs, limitations, and known issues ? Migrate existing Java applications to a serverless architecture ? Acquire deployment strategies ? Build a highly available and scalable data persistence layer ? Unravel cost optimization techniques In Detail Over the past years, all kind of companies from start-ups to giant enterprises started their move to public cloud providers in order to save their costs and reduce the operation effort needed to keep their shops open. Now it is even possible to craft a complex software system consisting of many independent micro-functions that will run only when they are needed without needing to maintain individual servers. The focus of this book is to design serverless architectures, and weigh the advantages and disadvantages of this approach, along with decision factors to consider. You will learn how to design a serverless application, get to know that key points of services that serverless applications are based on, and known issues and solutions. The book addresses key challenges such as how to slice out the core functionality of the software to be distributed in different cloud services and cloud functions. It covers basic and advanced usage of these services, testing and securing the serverless software, automating deployment, and more. By the end of the book, you will be equipped with knowledge of new tools and techniques to keep up with this evolution in the IT industry. Style and approach The book takes a pragmatic approach, showing you all the examples you need to build efficient serverless applications.

Use scikit-learn to apply machine learning to real-world problems About This Book ? Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks ? Learn how to build and evaluate performance of efficient models using scikit-learn ? Practical guide to master your basics and learn from real life applications of machine learning Who This Book Is For This book is intended for software engineers who want to understand how common machine learning algorithms work and develop an intuition for how to use them, and for data scientists who want to learn about the scikit-learn API. Familiarity with machine learning fundamentals and Python are helpful, but not required. What You Will Learn ? Review fundamental concepts such as bias and variance ? Extract features from categorical variables, text, and images ? Predict the values of continuous variables using linear regression and K Nearest Neighbors ? Classify documents and images using logistic regression and support vector machines ? Create ensembles of estimators using bagging and boosting techniques ? Discover hidden structures in data using K-Means clustering ? Evaluate the performance of machine learning systems in common tasks In Detail Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn’s API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model’s performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach. Style and approach This book is motivated by the belief that you do not understand something until you can describe it simply. Work through toy problems to develop your understanding of the learning algorithms and models, then apply your learnings to real-life problems.

Enter the era of medical research using mobile devices with the help of this guide on ResearchKit!About This BookCreate a simple clinical research app using most aspects of ResearchKitBuild a simple survey with various data types with the results printed on the screen.A step-by-step guide introducing Apple's ResearchKit and techniques to incorporate it into various apps.Who This Book Is ForThis book is aimed at medical researchers with basic iOS coding knowledge and iOS developers looking to create clinical research apps.What You Will LearnLearn to create customized consent formGet introduced to two backend services: a simple backend server using Sinatra and Sage BridgeBuild a custom task (a conditional survey example) and a navigable taskGet an Overview of ResearchKit's open source repository and App CoreInteraction with the hardware of the device including the gyro and the motion sensorsLearn the basics of this revolutionary technologyGet introduced to the barebones app and learn to write your first codeIn DetailResearchKit is an open source software development framework from Apple that lets you easily create mobile applications for clinical research studies. ResearchKit provides you the ability to orchestrate the administration of tasks and recording of the results. ResearchKit provides tasks in order to perform informed consent, active tasks, and surveys.Starting with the basics of the ResearchKit framework, this books walks you through the steps of creating iOS applications that could serve as the basis of a clinical research mobile app.This book will introduce readers to ResearchKit and how to turn your iPhone into into a clinical research tool. The book will start off by installing and building the research framework in line with the researcher's needs; during this, the reader will learn to embed ResearchKit in the application and create a small task.After this, the book will go a little deeper into creating modules for surveys, consents, and so on. The book will also cover the various aspects of privacy and security with regard to participant data, and how to build dashboards for visualizing medical data and results in line with the researcher's requirements: data backends, JSON serialization and deserialization, and so on.Readers will be able to fully utilize ResearchKit for medical research, will be able to get more and more patients to participate in their surveys, and will gain insights from the surveys using the dashboards created.Style and approachA hands-on guide with ample screenshots for you to follow and learn about ResearchKit. Each topic is explained sequentially and placed in context so that you can get a better understanding of every step in the process of creating clinical research apps.

Master the basics of Unreal Engine 4 to build stunning video gamesAbout This BookGet to grips with the user interface of Unreal Engine 4 and find out more about its various robust featuresCreate dream video games with the help of the different tools Unreal Engine 4 offersCreate video-games and fully utilize the power of Unreal Engine 4 to bring games to life through this step-by-step guideWho This Book Is ForIf you have a basic understanding of working on a 3D environment and you are interested in video game development, then this book is for you. A solid knowledge of C++ will come in handy.What You Will LearnDownload both the binary and source version of Unreal Engine 4 and get familiar with the UIGet to know more about the Material Editor and how it worksAdd a post process to the scene and alter it to get a unique look for your sceneAcquaint yourself with the unique and exclusive feature of Unreal Engine 4—BlueprintsFind out more about Static and Dynamic lighting and the difference between various lightsUse Matinee to create cut scenesCreate a health bar for the player with the use of Unreal Motion Graphics (UMG)Get familiar with Cascade Particle EditorIn DetailUnreal Engine 4 is a complete suite of game development tools that gives you power to develop your game and seamlessly deploy it to iOS and Android devices. It can be used for the development of simple 2D games or even stunning high-end visuals. Unreal Engine features a high degree of portability and is a tool used by many game developers today.This book will introduce you to the very popular Unreal 4 engine with hands-on instructions to build stunning video games. You will begin by creating a new project or prototype by learning the essentials of Unreal engine, then you’ll get an understanding of how the World Browser can help to improve performance of our game. Next, we’ll create a level of detailed models and materials to further improve performance. After that, you’ll see how to import textures, create different materials, and see what materials can do in terms of post-processing. Finally, you will get acquainted with the Paper2D tool and the blueprints system to further increase our project's performance with Engine’s scalability tools.Style and approachThis step-by-step guide will help you gain practical knowledge about Unreal Engine through detailed de*ions of all the tools offered by Unreal Engine.

Design, process, and analyze large sets of complex data in real timeAbout This BookGet acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using StormImplement strategies to solve the challenges of real-time data processingLoad datasets, build queries, and make recommendations using Spark SQLWho This Book Is ForIf you are a Big Data architect, developer, or a programmer who wants to develop applications/frameworks to implement real-time analytics using open source technologies, then this book is for you.What You Will LearnExplore big data technologies and frameworksWork through practical challenges and use cases of real-time analytics versus batch analyticsDevelop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache StormHandle and process real-time transactional dataOptimize and tune Apache Storm for varied workloads and production deploymentsProcess and stream data with Amazon Kinesis and Elastic MapReducePerform interactive and exploratory data analytics using Spark SQLDevelop common enterprise architectures/applications for real-time and batch analyticsIn DetailEnterprise has been striving hard to deal with the challenges of data arriving in real time or near real time.Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases.From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm.Moving on, we’ll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program.You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark.At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data.Style and approachThis step-by-step is an easy-to-follow, detailed tutorial, filled with practical examples of basic and advanced features.Each topic is explained sequentially and supported by real-world examples and executable code snippets.

Learn to design, build, and manage your infrastructure on the most popular of all the Cloud platforms—Amazon Web ServicesAbout This BookLearn how to leverage various Amazon Web Services (AWS) components and services to build a secure, reliable, and robust environment to host your applications onDeep dive into the core AWS service offerings with hands-on tutorials, real-world use case scenarios, and best practicesA self-paced, systematic, and step-by-step guide to learning and implementing AWS in your own environmentWho This Book Is ForThis book is for those who want to learn and leverage AWS. Although no prior experience with AWS is required, it is recommended that you have some hands-on experienceofLinux, Web Services, and basic networkingWhat You Will LearnA brief introduction to Cloud Computing and AWS accompanied by steps to sign up for your first AWS accountCreate and manage users, groups, and permissions using AWSS Identity and Access Management servicesGet started with deploying and accessing EC2 instances, working with EBS Volumes and SnapshotsCustomize and create your very own Amazon Machine ImageDesign and deploy your instances on a highly secured, network isolated environment using Amazon VPCEffectively monitor your AWS environment using specialized alarms, custom monitoring metrics, and much moreExplore the various benefits of Database-as-a-Service offerings and leverage them using Amazon RDS and Amazon DynamoDBTake an in-depth look at what’s new with AWS, including EC2 Container Service and Elastic File SystemIn DetailAWS is at the forefront of Cloud Computing today. Many businesses are moving away from traditional datacenters and toward AWS because of its reliability, vast service offerings, lower costs, and high rate of innovation. Because of its versatility and flexible design, AWS can be used to accomplish a variety of simple and complicated tasks such as hosting multitier websites, running large scale parallel processing, content delivery, petabyte storage and archival, and lots more.Whether you are a seasoned sysadmin or a rookie, this book will provide you with all the necessary skills to design, deploy, and manage your applications on the AWS cloud platform. The book guides you through the core AWS services such as IAM, EC2, VPC, RDS, and S3 using a simple real world application hosting example that you can relate to. Each chapter is designed to provide you with the most information possible about a particular AWS service coupled with easy to follow hands-on steps, best practices, tips, and recommendations.By the end of the book, you will be able to create a highly secure, fault tolerant, and scalable environment for your applications to run on.Style and approach This in-depth and insightful guide is filled with easy-to-follow examples, real-world use cases, best practices, and recommendations that will help you design and leverage AWS.

Harness the latest features of MongoDB 3 with this collection of 80 recipes – from managing cloud platforms to app development, this book is a vital resourceAbout This BookGet to grips with the latest features of MongoDB 3Interact with the MongoDB server and perform a wide range of query operations from the shellFrom administration to automation, this cookbook keeps you up to date with the world’s leading NoSQL databaseWho This Book Is ForThis book is engineered for anyone who is interested in managing data in an easy and efficient way using MongoDB. You do not need any prior knowledge of MongoDB, but it would be helpful if you have some programming experience in either Java or Python.What You Will LearnInstall, configure, and administer MongoDB sharded clusters and replica setsBegin writing applications using MongoDB in Java and Python languagesInitialize the server in three different modes with various configurationsPerform cloud deployment and introduce PaaS for MongoDiscover frameworks and products built to improve developer productivity using MongoTake an in-depth look at the Mongo programming driver APIs in Java and PythonSet up enterprise class monitoring and backups of MongoDBIn DetailMongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations – it’s easy to see why it’s the most popular NoSQL database on the market. Packed with many features that have become essential for many different types of software professionals and incredibly easy to use, this cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities.This book starts with how to initialize the server in three different modes with various configurations. You will then be introduced to programming language drivers in both Java and Python. A new feature in MongoDB 3 is that you can connect to a single node using Python, set to make MongoDB even more popular with anyone working with Python. You will then learn a range of further topics including advanced query operations, monitoring and backup using MMS, as well as some very useful administration recipes including SCRAM-SHA-1 Authentication. Beyond that, you will also find recipes on cloud deployment, including guidance on how to work with Docker containers alongside MongoDB, integrating the database with Hadoop, and tips for improving developer productivity.Created as both an accessible tutorial and an easy to use resource, on hand whenever you need to solve a problem, MongoDB Cookbook will help you handle everything from administration to automation with MongoDB more effectively than ever before.Style and approachEvery recipe is explained in a very simple set-by-step manner yet is extremely comprehensive.

Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guideAbout This BookThis is the most up-to-date book on Splunk 6.3 for developersGet ahead of being just a Splunk user and start creating custom Splunk applications as per your needsYour one-stop-solution to Splunk application developmentWho This Book Is ForThis book is for those who have some familiarity with Splunk and now want to learn how to develop an efficient Splunk application. Previous experience with Splunk, writing searches, and designing basic dashboards is expected.What You Will LearnImplement a Modular Input and a custom D3 data visualizationCreate a directory structure and set view permissionsCreate a search view and a dashboard view using advanced XML modulesEnhance your application using eventtypes, tags, and macrosPackage a Splunk application using best practicesPublish a Splunk application to the Splunk communityIn DetailSplunk provides a platform that allows you to search data stored on a machine, analyze it, and visualize the analyzed data to make informed decisions. The adoption of Splunk in enterprises is huge, and it has a wide range of customers right from Adobe to Dominos. Using the Splunk platform as a user is one thing, but customizing this platform and creating applications specific to your needs takes more than basic knowledge of the platform.This book will dive into developing Splunk applications that cater to your needs of making sense of data and will let you visualize this data with the help of stunning dashboards.This book includes everything on developing a full-fledged Splunk application right from designing to implementing to publishing. We will design the fundamentals to build a Splunk application and then move on to creating one. During the course of the book, we will cover application data, objects, permissions, and more. After this, we will show you how to enhance the application, including branding, workflows, and enriched data. Views, dashboards, and web frameworks are also covered.This book will showcase everything new in the latest version of Splunk including the latest data models, alert actions, XML forms, various dashboard enhancements, and visualization options (with D3). Finally, we take a look at the latest Splunk cloud applications, advanced integrations, and development as per the latest release.Style and approachThis book is an easy-to-follow guide with lots of tips and tricks to help you master all the concepts necessary to develop and deploy your Splunk applications.

Build high-speed and highly scalable telephony systems using OpenSIPSAbout This BookInstall and configure OpenSIPS to authenticate, route, bill, and monitor VoIP callsGain a competitive edge using the most scalable VoIP technologyDiscover the latest features of OpenSIPS with practical examples and case studiesWho This Book Is ForIf you want to understand how to build a SIP provider from scratch using OpenSIPS, then this book is ideal for you. It is beneficial for VoIP providers, large enterprises, and universities. This book will also help readers who were using OpenSER but are now confused with the new OpenSIPS.Telephony and Linux experience will be helpful to get the most out of this book but is not essential. Prior knowledge of OpenSIPS is not assumed.What You Will LearnLearn to prepare and configure a Linux system for OpenSIPSFamiliarise yourself with the installation and configuration of OpenSIPSUnderstand how to set a domain and create users/extensionsConfigure SIP endpoints and make calls between themMake calls to and from the PSTN and create access control lists to authorize callsInstall a graphical user interface to simplify the task of provisioning user and system informationImplement an effective billing system with OpenSIPSMonitor and troubleshoot OpenSIPS to keep it running smoothlyIn DetailOpenSIPS is a multifunctional, multipurpose signalling SIP server. SIP (Session Initiation Protocol) is nowadays the most important VoIP protocol and OpenSIPS is the open source leader in VoIP platforms based on SIP. OpenSIPS is used to set up SIP Proxy servers. The purpose of these servers is to receive, examine, and classify SIP requests. The whole telecommunication industry is changing to an IP environment, and telephony as we know it today will completely change in less than ten years. SIP is the protocol leading this disruptive revolution and it is one of the main protocols on next generation networks. While a VoIP provider is not the only kind of SIP infrastructure created using OpenSIPS, it is certainly one of the most difficult to implement.This book will give you a competitive edge by helping you to create a SIP infrastructure capable of handling tens of thousands of subscribers.Starting with an introduction to SIP and OpenSIPS, you will begin by installing and configuring OpenSIPS. You will be introduced to OpenSIPS Scripting language and OpenSIPS Routing concepts, followed by comprehensive coverage of Subscriber Management. Next, you will learn to install, configure, and customize the OpenSIPS control panel and explore dialplans and routing. You will discover how to manage the dialog module, accounting, NATTraversal, and other new SIP services. The final chapters of the book are dedicated to troubleshooting tools, SIP security, and advanced scenarios including TCP/TLS support, load balancing, asynchronous processing, and more.A fictional VoIP provider is used to explain OpenSIPS and by the end of the book, you will have a simple but complete system to run a VoIP provider.Style and approachThis book is a step-by-step guide based on the example of a VoIP provider. You will start with OpenSIPS installation and gradually, your knowledge depth will increase.

Automate and control your home using the power of the BeagleBone Black with practical home automation projectsAbout This BookBuild, set up, and develop your circuits via step-by-step tutorial of practical examples, from initial board setup to device driver managementGet access to several kinds of computer peripherals to monitor and control your domestic environment using this guideThis book is spread across 10 chapters all focused on one practical home automation projectWho This Book Is ForThis book is for developers who know how to use BeagleBone and are just above the “beginner” level. If you want to learn to use embedded machine learning capabilities, you should have some experience of creating simple home automation projects.What You Will LearnBuild a CO (and other gas) sensor with a buzzer/LED alarm to signal high concentrationsLog environment data and plot it in a fancy mannerDevelop a simple web interface with a LAMP platformPrepare complex web interfaces in JavaScript and get to know how to stream video data from a webcamUse APIs to get access to a Google Docs account or a WhatsApp/Facebook account to manage a home automation systemAdd custom device drivers to manage an LED with different blinking frequenciesDiscover how to work with electronic components to build small circuitsUse an NFS, temperature sensor, relays, and other peripherals to monitor and control your surroundingsIn DetailBeagleBone is a microboard PC that runs Linux. It can connect to the Internet and can run OSes such as Android and Ubuntu. BeagleBone is used for a variety of different purposes and projects, from simple projects such as building a thermostat to more advanced ones such as home security systems.Packed with real-world examples, this book will provide you with examples of how to connect several sensors and an actuator to the BeagleBone Black. You’ll learn how to give access to them, in order to realize simple-to-complex monitoring and controlling systems that will help you take control of the house. You will also find software examples of implementing web interfaces using the classical PHP/HTML pair with JavaScript, using complex APIs to interact with a Google Docs account, WhatsApp, or Facebook. This guide is an invaluable tutorial if you are planning to use a BeagleBone Black in a home automation project.Style and approachThis step-by-step guide contains several home automation examples that can be used as base projects for tons of other home automation and control systems. Through clear, concise examples based on real-life situations, you will quickly get to grips with the core concepts needed to develop home automation applications with the BeagleBone Black using both the C language and high-level *ing languages such as PHP, Python, and JavaScript.