This book is a tutorial, with plenty of step-by-step instructions bundled with examples and screenshots. VoIP telephony concepts are discussed, and how-tos are provided to help the reader become familiar with FreePBX. This book is targeted at system administrators who want to get started with FreePBX. Previous knowledge of Linux or networking is not required, although some basic knowledge of PBX and Linux will be a bonus.

Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!About This Book Get the only book that covers multiple methods to monitoring Docker Containers -your one-stop solution to all your Docker monitoring needs Learn how to implement third-party tools such as Datalog, cAdvisor, and more with this example-rich, hands-on guide Learn how to efficiently monitor Docker containers and get an edge over other administrators while maintaining apps on these containers Who This Book Is For This book is for DevOps engineers and system administrators who manage Docker containers and want to better manage these containers using expert techniques and methods and better maintain applications built on Docker. What You Will Learn Discover the tools built into Docker to gain an insight into your containers’ performance Augment Docker’s built-in tools with modern tools such as cAdvisor from Google, SysDig by Draios, and Soundcloud’s Prometheus Integrate the monitoring of your containers with more traditional monitoring solutions such as Zabbix Take advantage of the various SaaS offerings from third parties to move monitoring away from your local infrastructure and into the cloud Discover the various ways to ship your applications’ logs from the container to a central logging service Get the most out of your application and resources with the right implementation of your monitoring method In Detail This book will show you how monitoring containers and keeping a keen eye on the working of applications helps improve the overall performance of the applications that run on Docker. With the increased adoption of Docker containers, the need to monitor which containers are running, what resources they are consuming, and how these factors affect the overall performance of the system has become the need of the moment. This book covers monitoring containers using Docker's native monitoring functions, various plugins, as well as third-party tools that help in monitoring. Well start with how to obtain detailed stats for active containers, resources consumed, and container behavior. We also show you how to use these stats to improve the overall performance of the system. Next, you will learn how to use SysDig to both view your containers performance metrics in real time and record sessions to query later. By the end of this book, you will have a complete knowledge of how to implement monitoring for your containerized applications and make the most of the metrics you are collecting Style and approach This is an easy-to-follow guide with plenty of hands-on examples that can be executed both on your local machine and externally hosted services.

Create and maintain powerful Bash scripts for automation and administration. Key Features *Get up and running with Linux shell scripting using real-world examples *Leverage command-line techniques and methodologies to automate common yet complex administration tasks *A practical guide with exposure to scripting constructs and common scripting patterns Book Description Shell scripts allow us to program commands in chains and have the system execute them as a scripted event, just like batch files. This book will start with an overview of Linux and Bash shell scripting, and then quickly deep dive into helping you set up your local environment, before introducing you to tools that are used to write shell scripts. The next set of chapters will focus on helping you understand Linux under the hood and what Bash provides the user. Soon, you will have embarked on your journey along the command line. You will now begin writing actual scripts instead of commands, and will be introduced to practical applications for scripts. The final set of chapters will deep dive into the more advanced topics in shell scripting. These advanced topics will take you from simple scripts to reusable, valuable programs that exist in the real world. The final chapter will leave you with some handy tips and tricks and, as regards the most frequently used commands, a cheat sheet containing the most interesting flags and options will also be provided. After completing this book, you should feel confident about starting your own shell scripting projects, no matter how simple or complex the task previously seemed. We aim to teach you how to script and what to consider, to complement the clear-cut patterns that you can use in your daily scripting challenges. What you will learn *Understand Linux and Bash basics as well as shell scripting fundamentals *Learn to write simple shell scripts that interact with Linux operating system *Build, maintain, and deploy scripts in a Linux environment *Learn best practices for writing shell scripts *Avoid common pitfalls associated with Bash scripting *Gain experience and the right toolset to write your own complex shell scripts Who this book is for This book targets new and existing Linux system administrators, Windows system administrators or developers who are interested in automating administrative tasks. No prior shell scripting experience is needed but in case you do this book will make a pro quickly. Readers should have a basic understanding of the command line.

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key Features *Bridge your data analysis with the power of programming, complex algorithms, and AI *Use Python and its extensive libraries to power your way to new levels of data insight *Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series *Explore this modern approach across with key industry case studies and hands-on projects Book Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learn *A new toolset that has been carefully crafted to meet for your data analysis challenges *Full and detailed case studies of the toolset across several of today’s key industry contexts *Become super productive with a new toolset across Python and Jupyter Notebook *Look into the future of data science and which directions to develop your skills next Who this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key Features *Understand the foundations of meta learning algorithms *Explore practical examples to explore various one-shot learning algorithms with its applications in TensorFlow *Master state of the art meta learning algorithms like MAML, reptile, meta SGD Book Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning. By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models. What you will learn *Understand the basics of meta learning methods, algorithms, and types *Build voice and face recognition models using a siamese network *Learn the prototypical network along with its variants *Build relation networks and matching networks from scratch *Implement MAML and Reptile algorithms from scratch in Python *Work through imitation learning and adversarial meta learning *Explore task agnostic meta learning and deep meta learning Who this book is for Hands-On Meta Learning with Python is for machine learning enthusiasts, AI researchers, and data scientists who want to explore meta learning as an advanced approach for training machine learning models. Working knowledge of machine learning concepts and Python programming is necessary.

A collection of in-depth conversations with leading developer advocates that reveal the world of developer relations today Key Features * Top developer advocates reveal the work they’re doing at the center of their tech communities and the impact their advocacy is having on the tech industry as a whole * Discover the best practices of developer advocacy and get the inside story on working at some of the world’s largest tech companies * Features contributions from noted developer advocates, including Scott Hanselman, Sally Eaves, Venkat Subramaniam, Jono Bacon, Ted Neward, and more Book Description What exactly is a developer advocate, and how do they connect developers and companies around the world? Why is the area of developer relations set to explode? Can anybody with a passion for tech become a developer advocate? What are the keys to success on a global scale? How does a developer advocate maintain authenticity when balancing the needs of their company and their tech community? What are the hot topics in areas including Java, JavaScript, "tech for good," artificial intelligence, blockchain, the cloud, and open source? These are just a few of the questions addressed by developer advocate and author Geertjan Wielenga in Developer, Advocate!. 32 of the industry's most prominent developer advocates, from companies including Oracle, Microsoft, Google, and Amazon, open up about what it's like to turn a lifelong passion for knowledge sharing about tech into a rewarding career. These advocates run the gamut from working at large software vendors to small start-ups, along with independent developer advocates who work within organizations or for themselves. In Developer, Advocate!, readers will see how developer advocates are actively changing the world, not only for developers, but for individuals and companies navigating the fast-changing tech landscape. More importantly, Developer, Advocate! serves as a rallying cry to inspire and motivate tech enthusiasts and burgeoning developer advocates to get started and take their first steps within their tech community. What you will learn * Discover how developer advocates are putting developer interests at the heart of the software industry in companies including Microsoft and Google * Gain the confidence to use your voice in the tech community * Immerse yourself in developer advocacy techniques * Understand and overcome the challenges and obstacles facing developer advocates today * Hear predictions from the people at the cutting edge of tech * Explore your career options in developer advocacy Who this book is for Anybody interested in developer advocacy, the impact it is having, and how to build developer advocacy capabilities

Get proficient in building beautiful and appealing mobile interfaces (UI) with this complete mobile user experience (UX) design guide. About This Book ? Quickly explore innovative design solutions based on the real needs of your users. ? Create low and high fidelity prototypes using some of the best tools. ? Master a pragmatic design process to create successful products. ? Plan an app design from scratch to final test, with real users. Who This Book Is For This book is for designers, developers and product managers interested in creating successful apps. Readers will be provided with a process to produce, test and improve designs based on best practices. What You Will Learn ? Plan an app design from scratch to final test, with real users. ? Learn from leading companies and find working patterns. ? Apply best UX design practices to your design process. ? Create low and high fidelity prototypes using some of the best tools. ? Follow a step by step examples for Tumult Hype and Framer Studio. ? Test your designs with real users, early in the process. ? Integrate the UX Designer profile into a working team. In Detail User experience (UX) design provides techniques to analyze the real needs of your users and respond to them with products that are delightful to use. This requires you to think differently compared to traditional development processes, but also to act differently. In this book, you will be introduced to a pragmatic approach to exploring and creating mobile app solutions, reducing risks and saving time during their construction. This book will show you a working process to quickly iterate product ideas with low and high fidelity prototypes, based on professional tools from different software brands. You will be able to quickly test your ideas early in the process with the most adequate prototyping approach. You will understand the pros and cons of each approach, when you should use each of them, and what you can learn in each step of the testing process. You will also explore basic testing approaches and some more advanced techniques to connect and learn from your users. Each chapter will focus on one of the general steps needed to design a successful product according to the organization goals and the user needs. To achieve this, the book will provide detailed hands-on pragmatic techniques to design innovative and easy to use products. You will learn how to test your ideas in the early steps of the design process, picking up the best ideas that truly work with your users, rethinking those that need further refinement, and discarding those that don’t work properly in tests made with real users. By the end of the book, you will learn how to start exploring and testing your design ideas, regardless the size of the design budget. Style and approach A quick and simple guide to design and test a mobile application from the UX design point of view

Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the WebAbout This BookUse Shiny's built-in functions to produce engaging user interfaces, and integrate them into your own web pagesImplement powerful user-contributed packages to access graphics from the web, make your own dashboards, use interactive maps, and moreExtend Shiny using JavaScript and jQuery with minimal coding using this handy, step-by-step guideWho This Book Is ForThis book is for anybody who wants to produce interactive data summaries over the web, whether you want to share them with a few colleagues or the whole world. No previous experience with R, Shiny, HTML, or CSS is required to begin using this book, although you should possess some previous experience with programming in a different language.What You Will LearnBuild interactive applications using Shiny's built-in widgetsUse the built-in layout functions in Shiny to produce user-friendly applicationsIntegrate Shiny applications with web pages and customize them using HTML and CSSHarness the power of JavaScript and jQuery to customize your applicationsEngage your users and build better analytics using interactive plotsDebug your applications using Shiny's built-in functionsDeliver simple and powerful analytics across your organization using Shiny dashboardsShare your applications with colleagues or over the Internet using cloud services or your own serverIn DetailR is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the webHere comes Shiny to your rescue!Shiny allows you to create interactive web applications using the excellent analytical and graphical capabilities of R. This book will guide you through basic data management and analysis with R through your first Shiny application, and then show you how to integrate Shiny applications with your own web pages. Finally, you will learn how to finely control the inputs and outputs of your application, along with using other packages to build state-of-the-art applications, including dashboards.Style and approachLearn by doing! Each chapter includes code and examples to use and adapt for your own applications. As the chapters progress, the code and examples are built upon until you have all the materials required to build a large, complex, real-world analytics application.

Develop fun and exciting games and create amazing animations for your existing apps with SpriteKit, Apple's 2D game development frameworkAbout This BookLearn the key concepts of game development in iOSTake advantage of SpriteKit to create your own games and improve your appsFollow the step-by-step chapters to create a complete product ready to submit to the App StoreWho This Book Is ForGetting Started with SpriteKit is for beginner-level iOS developers who want to add an extra edge to their apps and create amazing games using SpriteKit. It doesn’t matter whether you have experience in iOS development or not as this book will show you the swift tricks you can use to create games.What You Will LearnCreate and configure a SpriteKit project from scratchLoad and manage the basic elements of games such as sprites, labels, and geometrical primitivesHandle touch events, detect collisions, and play sound audio filesCreate complex elements, animate sprites, and run the parallax effectComplete your games with key components such as a main menu, transitions between scenes, a tutorial, and the ability to load and save dataIncrease the efficiency of your device using the accelerometer or by adding shaders, lights, and shadowsGain complementary techniques such as creating or finding audio resources, applying SpriteKit to apps, or using third-party toolsIn DetailSpriteKit is Apple’s game engine to develop native iOS games. Strongly boosted by the Apple Inc., Cupertino, it has increased in popularity since its first release. This book shows you the solutions provided by SpriteKit to help you create any 2D game you can imagine and apply them to create animations that will highlight your existing apps.This book will give you the knowledge you need to apply SpriteKit to your existing apps or create your own games from scratch.Throughout the book, you will develop a complete game. The beautiful designs implemented in the game in this book will easily lead you to learn the basis of 2D game development, including creating and moving sprites, and adding them to a game scene. You will also discover how to apply advanced techniques such as collision detection, action execution, playing music, or running animations to give a more professional aspect to the game. You will finish your first game by learning how to add a main menu and a tutorial, as well as saving and loading data from and to the player’s device.Finally, you will find out how to apply some mobile games techniques such as accelerometer use or touch detection.Style and approachWritten in an informal way with plenty of illustrative screenshots, this easy-to-follow and practical guide will help you get the most from SpriteKit. The main part of the book provides step-by-step instructions to develop of a complete product, while the last chapters give you some complementary techniques than can be used in mobile 2D game development.

Develop testable, modular, and maintainable Ruby software for the real world using RSpec About This Book Explore the concept of testability and how to implement tests that deliver the most value Maximize the quality of your Ruby code through a wide variety of tests Master the real-world tradeoffs of testing through detailed examples supported by in-depth discussion Who This Book Is For This book is aimed at the software engineer who wants to make their code more reliable and their development process easier. It is also aimed at test engineers who need to automate the testing of complex systems. Knowledge of Ruby is helpful, but even someone new to the language should find it easy to follow the code and tests. What You Will Learn Identify a unit of software for the purposes of testing Manage test states with hooks, fixtures, and mocks Handle external web services in tests using various techniques Configure RSpec flexibly and cleanly using support code and environment variables Interact with rich web apps in tests using Capybara Build the right feature with behavior-driven development Customize matchers and failure messages Verify correct development and production environments In Detail This book will teach you how to use RSpec to write high-value tests for real-world code. We start with the key concepts of the unit and testability, followed by hands-on exploration of key features. From the beginning, we learn how to integrate tests into the overall development process to help create high-quality code, avoiding the dangers of testing for its own sake. We build up sample applications and their corresponding tests step by step, from simple beginnings to more sophisticated versions that include databases and external web services. We devote three chapters to web applications with rich JavaScript user interfaces, building one from the ground up using behavior-driven development (BDD) and test-driven development (TDD). The code examples are detailed enough to be realistic while simple enough to be easily understood. Testing concepts, development methodologies, and engineering tradeoffs are discussed in detail as they arise. This approach is designed to foster the reader’s ability to make well-informed decisions on their own. Style and approach This comprehensive tutorial is packed with real-world examples of testing with RSpec. The most important features of RSpec are introduced in the early chapters and are used in examples of growing complexity in the following chapters. Concepts and methodologies are discussed in detail.

Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara About This Book A fast paced guide to help you utilize the benefits of Sahara in OpenStack to meet the Big Data world of Hadoop. A step by step approach to simplify the complexity of Hadoop configuration, deployment and maintenance. Who This Book Is For This book targets data scientists, cloud developers and Devops Engineers who would like to become proficient with OpenStack Sahara. Ideally, this book is well suitable for readers who are familiars with databases, Hadoop and Spark solutions. Additionally, a basic prior knowledge of OpenStack is expected. The readers should also be familiar with different Linux boxes, distributions and virtualization technology. What You Will Learn Integrate and Install Sahara with OpenStack environment Learn Sahara architecture under the hood Rapidly configure and scale Hadoop clusters on top of OpenStack Explore the Sahara REST API to create, deploy and manage a Hadoop cluster Learn the Elastic Processing Data (EDP) facility to execute jobs in clusters from Sahara Cover other Hadoop stable plugins existing supported by Sahara Discover different features provided by Sahara for Hadoop provisioning and deployment Learn how to troubleshoot OpenStack Sahara issues In Detail The Sahara project is a module that aims to simplify the building of data processing capabilities on OpenStack. The goal of this book is to provide a focused, fast paced guide to installing, configuring, and getting started with integrating Hadoop with OpenStack, using Sahara. The book should explain to users how to deploy their data-intensive Hadoop and Spark clusters on top of OpenStack. It will also cover how to use the Sahara REST API, how to develop applications for Elastic Data Processing on Openstack, and setting up hadoop or spark clusters on Openstack. Style and approach This book takes a step by step approach teaching how to integrate, deploy and manage data using OpenStack Sahara. It will teach how the OpenStack Sahara is beneficial by simplifying the complexity of Hadoop configuration, deployment and maintenance.

Customize and automate Google Applications using Apps Script About This Book Gain insight into customizing and automating Google applications with JavaScript Create add-ons for Google Sheets, Docs, or Forms; automate your workflow; integrate with external APIs; and more. A step-by-step guide to building real-world solutions Who This Book Is For Newbies to google apps * but having practical experience in Java*. What You Will Learn Learn about the Google Apps * platform and work with *s to develop Google apps Create custom menus and dialogs Parse and send emails Generate Google calendar events Build Translator and RSS reader applications Develop interactive web pages Design interactive web-forms Form a workflow application In Detail Google Apps Script is a cloud-based *ing language based on JavaScript to customize and automate Google applications. Apps Script makes it easy to create and publish add-ons in an online store for Google Sheets, Docs, and Forms. It serves as one single platform to build, code, and ultimately share your App on the Web store. This book begins by covering the basics of the Google application platform and goes on to empower you to automate most of the Google applications. You will learn the concepts of creating a menu, sending mails, building interactive web pages, and implementing all these techniques to develop an interactive Web page as a form to submit sheets You will be guided through all these tasks with plenty of screenshots and code snippets that will ensure your success in customizing and automating various Google applications This guide is an invaluable tutorial for beginners who intend to develop the skills to automate and customize Google applications Style and approach An easy-to-follow yet comprehensive guide, filled with many code examples and screenshots illustrating various Google Apps *s.

Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guideAbout This BookNew to ElasticSearchHere’s what you need—a highly practical guide that gives you a quick start with ElasticSearch using easy-to-follow examples; get up and running with ElasticSearch APIs in no timeGet the latest guide on ElasticSearch 2.0.0, which contains concise and adequate information on handling all the issues a developer needs to know while handling data in bulk with search relevancyLearn to create large-scale ElasticSearch clusters using best practicesLearn from our experts—written by Bharvi Dixit who has extensive experience in working with search servers (especially ElasticSearch)Who This Book Is ForAnyone who wants to build efficient search and analytics applications can choose this book. This book is also beneficial for skilled developers, especially ones experienced with Lucene or Solr, who now want to learn Elasticsearch quickly.What You Will LearnGet to know about advanced Elasticsearch concepts and its REST APIsWrite CRUD operations and other search functionalities using the ElasticSearch Python and Java clientsDig into wide range of queries and find out how to use them correctlyDesign schema and mappings with built-in and custom analyzersExcel in data modeling concepts and query optimizationMaster document relationships and geospatial dataBuild analytics using aggregationsSetup and scale Elasticsearch clusters using best practicesLearn to take data backups and secure Elasticsearch clustersIn DetailWith constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.Style and approachThis is an easy-to-follow guide with practical examples and clear explanations of the concepts. This fast-paced book believes in providing very rich content focusing majorly on practical implementation. This book will provide you with step-by-step practical examples, letting you know about the common errors and solutions along with ample screenshots and code to ensure your success.

Manage, fine-tune, secure and deploy your MongoDB solution with ease with the help of practical recipes About This Book ? Configure and deploy your MongoDB instance securely, without any hassle ? Optimize your database's query performance, perform scale-out operations, and make your database highly available ? Practical guide with a recipe-based approach to help you tackle any problem in the application and database administration aspects of MongoDB Who This Book Is For Database administrators with a basic understanding of the features of MongoDB and who want to professionally configure, deploy, and administer a MongoDB database, will find this book essential. If you are a MongoDB developer and want to get into MongoDB administration, this book will also help you. What You Will Learn ? Install and deploy MongoDB in production ? Manage and implement optimal indexes ? Optimize monitoring in MongoDB ? Fine-tune the performance of your queries ? Debug and diagnose your database's performance ? Optimize database backups and recovery and ensure high availability ? Make your MongoDB instance scalable ? Implement security and user authentication features in MongoDB ? Master optimal cloud deployment strategies In Detail MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challenges of working with MongoDB. Starting with database configuration, you will understand the indexing aspects of MongoDB. The book also includes practical recipes on how you can optimize your database query performance, perform diagnostics, and query debugging. You will also learn how to implement the core administration tasks required for high-availability and scalability, achieved through replica sets and sharding, respectively. You will also implement server security concepts such as authentication, user management, role-based access models, and TLS configuration. You will also learn how to back up and recover your database efficiently and monitor server performance. By the end of this book, you will have all the information you need—along with tips, tricks, and best practices—to implement a high-performance MongoDB solution. Style and approach This practical book follows a problem-solution approach to help you tackle any issues encountered while performing MongoDB administrative tasks. Each recipe is detailed, and explained in a very easy to understand manner

Expand your boundaries by creating applications empowered with real-time data using RxJs without compromising performance About This Book ? Handle an infinite stream of incoming data using RxJs without going crazy ? Explore important RxJs operators that can help you improve your code readability ? Get acquainted with the different techniques and operators used to handle data traffic, which occurs when you receive data faster than you can process Who This Book Is For If you're a web developer with some basic JavaScript programming knowledge who wants to implement the reactive programming paradigm with JavaScript, then this book is for you. What You Will Learn ? Get to know the basics of functional reactive programming using RxJs ? Process a continuous flow of data with linear memory consumption ? Filter, group, and react to changes in your system ? Discover how to deal with data traffic ? Compose operators to create new operators and use them in multiple observables to avoid code repetition ? Explore transducers and see how they can improve your code readability ? Detect and recover from errors in observables using Retry and Catch operators ? Create your own reactive application: a real-time webchat In Detail If you’re struggling to handle a large amount of data and don’t know how to improve your code readability, then reactive programming is the right solution for you. It lets you describe how your code behaves when changes happen and makes it easier to deal with real-time data. This book will teach you what reactive programming is, and how you can use it to write better applications. The book starts with the basics of reactive programming, what Reactive Extensions is, and how can you use it in JavaScript along with some reactive code using Bacon. Next, you’ll discover what an Observable and an Observer are and when to use them.You'll also find out how you can query data through operators, and how to use schedulers to react to changes. Moving on, you’ll explore the RxJs API, be introduced to the problem of data traffic (backpressure), and see how you can mitigate it. You’ll also learn about other important operators that can help improve your code readability, and you’ll see how to use transducers to compose operators. At the end of the book, you’ll get hands-on experience of using RxJs, and will create a real-time web chat using RxJs on the client and server, providing you with the complete package to master RxJs. Style and approach This easy-to-follow guide is full of hands-on examples of reactive programming. Each topic is explained and placed in context, and for the more inquisitive there are more details of the concepts used, ending with an application using the concepts learned through the book.

Understand your users, gain strategic insights, and make your product development more efficient with user experience mapping About This Book ? Detailed guidance on the major types of User Experience Maps. ? Learn to gain strategic insights and improve communication with stakeholders . ? Get an idea on creating wireflows, mental model maps, ecosystem maps and solution maps Who This Book Is For This book is for Product Manager, Service Managers and Designers who are keen on learning the user experience mapping techniques. What You Will Learn ? Create and understand all common user experience map types. ? Use lab or remote user research to create maps and understand users better. ? Design behavioral change and represent it visually. ? Create 4D user experience maps, the “ultimate UX deliverable”. ? Capture many levels of interaction in a holistic view. ? Use experience mapping in an agile team, and learn how maps help in communicating within the team and with stakeholders. ? Become more user focused and help your organisation become user-centric. In Detail Do you want to create better products and innovative solutions? User Experience Maps will help you understand users, gain strategic insights and improve communication with stakeholders. Maps can also champion user-centricity within the organisation. Two advanced mapping techniques will be revealed for the first time in print, the behavioural change map and the 4D UX map. You will also explore user story maps, task models and journey maps. You will create wireflows, mental model maps, ecosystem maps and solution maps. In this book, the author will show you how to use insights from real users to create and improve your maps and your product. The book describes each major User Experience map type in detail. Starting with simple techniques based on sticky notes moving to more complex map types. In each chapter, you will solve a real-world problem with a map. The book contains detailed, beginner level tutorials on creating maps using different software products, including Adobe Illustrator, Balsamiq Mockups, Axure RP or Microsoft Word. Even if you don’t have access to any of those, each map type can also be drawn with pen and paper. Beyond creating maps, the book will also showcase communication techniques and workshop ideas. Although the book is not intended to be a comprehensive guide to modern user experience or product management, its novel ideas can help you create better solutions. You will also learn about the Kaizen-UX management framework, developed by the author, now used by many agencies and in-house UX teams in Europe and beyond. Buying this map will give you hundreds of hours worth of user experience knowledge, from one of the world’s leading UX consultants. It will change your users’ world for the better. If you are still not convinced, we have hidden some cat drawings in it, just in case. Style and approach An easy to understand guide, filled with real world use cases on how to plan, prioritize and visualize your project on customer experience

Frank Kane’s hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book ? Understand how Spark can be distributed across computing clusters ? Develop and run Spark jobs efficiently using Python ? A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane’s Taming Big Data with Apache Spark and Python will also help you. What You Will Learn ? Find out how you can identify Big Data problems as Spark problems ? Install and run Apache Spark on your computer or on a cluster ? Analyze large data sets across many CPUs using Spark’s Resilient Distributed Datasets ? Implement machine learning on Spark using the MLlib library ? Process continuous streams of data in real time using the Spark streaming module ? Perform complex network analysis using Spark’s GraphX library ? Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you’ll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane’s Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.

This book covers the most critical 24 NFRs that are applicable to IT applications and systems. About This Book ? Explains three stages of nonfunctional requirements, that is, analysis, architecture, and assessment ? In-depth knowledge of NFR framework and taxonomy that provides guidance around the modelling phase for the NFRs ? Coverage of 24 critical and pivotal NFRs, including the analysis, architecture, and assessment. Who This Book Is For The primary audience for this title are the gamut of roles starting from IT consultant to chief architects who are responsible to deliver strategic, tactical, and operational engagements for fortune 100 customers worldwide. Nonfunctional requirements are the key to any software / IT program. They cannot be overlooked or ignored. The book provides a comprehensive approach from analysis, architecture, and measurement of nonfunctional requirements. The book includes considerations for bespoke (Java, .Net, and COTS applications). These are applicable to IT applications from various domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. The audience for this book include business analysts, enterprise architects, business architects, solution architects, technical architects/designers, domain/security/integration architects, software developers, support engineers and test engineers, technical project managers, project leads/technical leads/technical project managers, and students from the computer science/IT stream What You Will Learn ? Learn techniques related to the analysis, architecture, and monitoring of NFRs ? Understand the various tools, techniques, and processes in order to improve the overall quality of the desired outcomes ? Embrace the best practices of architecting, metrics, and success factors for NFRs ? Identify the common pitfalls to be avoided and the patterns to leverage ? Understand taxonomy and framework for NFRs ? Learn the design guidelines for architecting applications and systems relating to NFRs ? Abstract different methodologies to analyze and gather NFRs In Detail Non-functional Requirements are key to any software/IT program and cannot be overlooked or ignored. This book provides a comprehensive approach to the analysis, architecture, and measurement of NFRs. It includes considerations for bespoke Java, .NET, and COTS applications that are applicable to IT applications/systems in different domains. The book outlines the methodology for capturing the NFRs and also describes a framework that can be leveraged by analysts and architects for tackling NFRs for various engagements. This book starts off by explaining the various KPIs, taxonomies, and methods for identifying NFRs. Learn the design guidelines for architecting applications and systems relating to NFRs and design principles to achieve the desired outcome. We will then move on to various key tiers/layers and patterns pertaining to the business, database, and integrating tiers. After this, we will dive deep into the topics pertaining to techniques related to monitoring and measurement of NFRs, such as sizing, analytical modeling, and quality assurance. Lastly, we end the book by describing some pivotal NFRs and checklists for the software quality attributes related to the business, application, data, and infrastructure domains. Style and approach The book takes a pragmatic approach, describing various techniques related to the analysis of NFRs, the architecture of NFRs, and assessment of NFRs.

Learn efficient Python coding within 7 days About This Book ? Make the best of Python features ? Learn the tinge of Python in 7 days ? Learn complex concepts using the most simple examples Who This Book Is For The book is aimed at aspiring developers and absolute novice who want to get started with the world of programming. We assume no knowledge of Python for this book. What You Will Learn ? Use if else statement with loops and how to break, skip the loop ? Get acquainted with python types and its operators ? Create modules and packages ? Learn slicing, indexing and string methods ? Explore advanced concepts like collections, class and objects ? Learn dictionary operation and methods ? Discover the scope and function of variables with arguments and return value In Detail Python is a great language to get started in the world of programming and application development. This book will help you to take your skills to the next level having a good knowledge of the fundamentals of Python. We begin with the absolute foundation, covering the basic syntax, type variables and operators. We'll then move on to concepts like statements, arrays, operators, string processing and I/O handling. You’ll be able to learn how to operate tuples and understand the functions and methods of lists. We’ll help you develop a deep understanding of list and tuples and learn python dictionary. As you progress through the book, you’ll learn about function parameters and how to use control statements with the loop. You’ll further learn how to create modules and packages, storing of data as well as handling errors. We later dive into advanced level concepts such as Python collections and how to use class, methods, objects in python. By the end of this book, you will be able to take your skills to the next level having a good knowledge of the fundamentals of Python. Style and approach Fast paced guide to get you up-to-speed with the language. Every chapter is followed by an exercise that focuses on building something with the language. The codes of the exercises can be found on the Packt website

Your one-stop guide to building an efficient data science pipeline using Jupyter About This Book ? Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science ? Learn all the tasks in the data science pipeline—from data acquisition to visualization—and implement them using Jupyter ? Get ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guide Who This Book Is For This book targets students and professionals who wish to master the use of Jupyter to perform a variety of data science tasks. Some programming experience with R or Python, and some basic understanding of Jupyter, is all you need to get started with this book. What You Will Learn ? Understand why Jupyter notebooks are a perfect fit for your data science tasks ? Perform scientific computing and data analysis tasks with Jupyter ? Interpret and explore different kinds of data visually with charts, histograms, and more ? Extend SQL's capabilities with Jupyter notebooks ? Combine the power of R and Python 3 with Jupyter to create dynamic notebooks ? Create interactive dashboards and dynamic presentations ? Master the best coding practices and deploy your Jupyter notebooks efficiently In Detail Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks. By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully. Style and approach This book is a perfect blend of concepts and practical examples, written in a way that is very easy to understand and implement. It follows a logical flow where you will be able to build on your understanding of the different Jupyter features with every chapter.

Build efficient web apps and deliver great results by integrating Angular and the .NET framework About This Book ? Become a more productive developer and learn to use frameworks that implement good development practices ? Achieve advanced autocompletion, navigation, and refactoring in Angular using Type* ? Follow a gradual introduction to the concepts with a lot of examples and explore the evolution of a production-ready application Who This Book Is For If you are a .NET developer who now wants to efficiently build single-page applications using the new features that Angular 4 has to offer, then this book is for you. Familiarity of HTML, CSS, and JavaScript is assumed to get the most from this book. What You Will Learn ? Create a standalone Angular application to prototype user interfaces ? Validate complex forms with Angular version 4 and use Bootstrap to style them ? Build RESTful web services that work well with single-page applications ? Use Gulp and Bower in Visual Studio to run tasks and manage JavaScript packages ? Implement automatic validation for web service requests to reduce your boilerplate code ? Use web services with Angular version 4 to offload and secure your application logic ? Test your Angular version 4 and web service code to improve the quality of your software deliverables In Detail Are you are looking for a better, more efficient, and more powerful way of building front-end web applications? Well, look no further, you have come to the right place! This book comprehensively integrates Angular version 4 into your tool belt, then runs you through all the new options you now have on hand for your web apps without bogging you down. The frameworks, tools, and libraries mentioned here will make your work productive and minimize the friction usually associated with building server-side web applications. Starting off with building blocks of Angular version 4, we gradually move into integrating TypeScript and ES6. You will get confident in building single page applications and using Angular for prototyping components. You will then move on to building web services and full-stack web application using ASP.NET WebAPI. Finally, you will learn the development process focused on rapid delivery and testability for all application layers. Style and approach This book covers everything there is to know about getting well-acquainted with Angular 4 and .NET without bogging you down. Everything is neatly laid out under clear headings for quick consultation, offering you the information required to understand a concept immediately, with short, relevant examples of each feature.