Take your web applications to a whole new level with efficient, component-based UIs that deliver cutting-edge interactivity and performance. Key Features *Elaborately explains basics before introducing advanced topics *Explains creating and managing the state of components across applications *Implement over 15 practical activities and exercises across 11 topics to reinforce your learning Book Description Projects like Angular and React are rapidly changing how development teams build and deploy web applications to production. In this book, you’ll learn the basics you need to get up and running with React and tackle real-world projects and challenges. It includes helpful guidance on how to consider key user requirements within the development process, and also shows you how to work with advanced concepts such as state management, data-binding, routing, and the popular component markup that is JSX. As you complete the included examples, you’ll find yourself well-equipped to move onto a real-world personal or professional frontend project. What you will learn *Understand how React works within a wider application stack *Analyze how you can break down a standard interface into specific components *Successfully create your own increasingly complex React components with HTML or JSX *Correctly handle multiple user events and their impact on overall application state *Understand the component lifecycle to optimize the UX of your application *Configure routing to allow effortless, intuitive navigation through your components Who this book is for If you are a frontend developer who wants to create truly reactive user interfaces in JavaScript, then this is the book for you. For React, you’ll need a solid foundation in the essentials of the JavaScript language, including new OOP features that were introduced in ES2015. An understanding of HTML and CSS is assumed, and a basic knowledge of Node.js will be useful in the context of managing a development workflow, but is not essential.

Migrating your application to a cloud-based serverless architecture doesn’t have to be difficult. Reduce complexity and minimize the time you spend administering servers or worrying about availability with this comprehensive guide to serverless applications on Azure. Key Features *Provides information on integration of Azure products *Plan and implement your own serverless backend to meet tried-and-true development standards *Includes step-by-step instructions to help you navigate advanced concepts and application integrations Book Description Many businesses are rapidly adopting a microservices-first approach to development, driven by the availability of new commercial services like Azure Functions and AWS Lambda. In this book, we’ll show you how to quickly get up and running with your own serverless development on Microsoft Azure. We start by working through a single function, and work towards integration with other Azure services like App Insights and Cosmos DB to handle common user requirements like analytics and highly performant distributed storage. We finish up by providing you with the context you need to get started on a larger project of your own choosing, leaving you equipped with everything you need to migrate to a cloud-first serverless solution. What you will learn *Identify the key advantages and disadvantages of serverless development *Build a fully-functioning serverless application and utilize a wide variety of Azure services *Create, deploy, and manage your own Azure Functions in the cloud *Implement core design principles for writing effective serverless code Who this book is for This book is ideal for back-end developers or engineers who want a quick hands-on introduction to developing serverless applications within the Microsoft ecosystem.

Leverage the full potential of the web to make your web sites better than native applications for every platform. Key Features *Explore different models and patterns required to develop progressive web applications *Create applications requiring shorter runtime for attracting more users *Study different projects to understand the fundamentals of progressive web applications Book Description Are you a developer that wants to create truly cross-platform user experiences with a minimal footprint, free of store restrictions and features customers want? Then you need to get to grips with Progressive Web Applications (PWAs), a perfect amalgamation of web and mobile applications with a blazing-fast response time. Progressive Web Application Development by Example helps you explore concepts of the PWA development by enabling you to develop three projects, starting with a 2048 game. In this game, you will review parts of a web manifest file and understand how a browser uses properties to define the home screen experience. You will then move on to learning how to develop and use a podcast client and be introduced to service workers. The application will demonstrate how service workers are registered and updated. In addition to this, you will review a caching API so that you have a firm understanding of how to use the cache within a service worker, and you'll discover core caching strategies and how to code them within a service worker. Finally, you will study how to build a tickets application, wherein you’ll apply advanced service worker techniques, such as cache invalidation. Also, you'll learn about tools you can use to validate your applications and scaffold them for quality and consistency. By the end of the book, you will have walked through browser developer tools, node modules, and online tools for creating high-quality PWAs. What you will learn *Explore the core principles of PWAs *Study the three main technical requirements of PWAs *Discover enhancing requirements to make PWAs transcend native apps and traditional websites *Create and install PWAs on common websites with a given HTTPS as the core requirement *Get acquainted with the service worker life cycle *Define service worker caching patterns *Apply caching strategies to three different website scenarios *Implement best practices for web performance Who this book is for Progressive Web Application Development by Example is for you if you’re a web developer or front-end designer who wants to ensure improved user experiences. If you are an application developer with knowledge of HTML, CSS, and JavaScript, this book will help you enhance your skills in order to develop progressive web applications, the future of app development.

Perform efficient fast text representation and classification with Facebook's fastText library Key Features *Introduction to Facebook's fastText library for NLP *Perform efficient word representations, sentence classification, vector representation *Build better, more scalable solutions for text representation and classification Book Description Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText.? This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification.? Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch.? Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects. What you will learn *Create models using the default command line options in fastText *Understand the algorithms used in fastText to create word vectors *Combine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipeline *Explore word representation and sentence classification using fastText *Use Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficiently *Develop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorch Who this book is for This book is for data analysts, data scientists, and machine learning developers who want to perform efficient word representation and sentence classification using Facebook's fastText library. Basic knowledge of Python programming is required.

A series of practical recipes to simplify the Git learning experience and increase your productivity when using Git version control Key Features *Explore practical recipes to use Git’s most advanced features *Learn how Git references its objects and how history is recorded *Use reflog and git fsck to recover lost information Book Description Git is one of the most popular tools for versioning. Git Version Control Cookbook builds on the success of the previous edition and provides you with an up-to-date guide to solving problems related to versioning. You’ll start by learning about the Git data model and how it stores files and looks at commits. By using simple commands, you’ll learn how to navigate through the database. Once you have accustomed yourself to the basics, you’ll explore techniques to configure Git with comprehensive examples and configuration targets. You’ll gain insights into improving your understanding of branches and recovery from mistakes — right from committing to a wrong branch to recovering lost commits or files. You’ll then move on to discovering the features that Git rebase has to offer and use regular Git merge on other branches. You’ll explore Git notes and learn how to utilize the update, list, and search commands. In addition to this, you’ll learn how to extract metadata from repositories and automate your daily tasks using Git hooks. You’ll then study in detail repository maintenance, patching, and offline sharing. By the end of the book, you’ll have grasped various tips and tricks for everyday usage, while increasing your knowledge of Git providers, integrations, and clients. What you will learn *Understand the Git data model and use commands to navigate the database *Find out how you can recover lost commits or files *Force a rebase on some branches and use regular Git to merge on the rest *Master the techniques required to extract metadata from repositories *Explore Git notes and learn about the various features that it offers *See how to decode different subcommands Who this book is for The Git Version Control Cookbook is for you if you are a developer or Build Release manager looking for a full-fledged practical guide that will take your Git knowledge to the next level. Basic knowledge of GNU tools and shell or bash scripting is needed.

Apply functional Reactive programming for simple and scalable state management with MobX Key Features *The easiest way to learn MobX to enhance your client-side state-management *Understand how the concepts and components fit together *Work through different state management scenarios with MobX Book Description MobX is a simple and highly scalable state management library in JavaScript. Its abstractions can help you manage state in small to extremely large applications. However, if you are just starting out, it is essential to have a guide that can help you take the first steps. This book aims to be that guide that will equip you with the skills needed to use MobX and effectively handle the state management aspects of your application. You will first learn about observables, actions, and reactions: the core concepts of MobX. To see how MobX really shines and simplifies state management, you'll work through some real-world use cases. Building on these core concepts and use cases, you will learn about advanced MobX, its APIs, and libraries that extend MobX. By the end of this book, you will not only have a solid conceptual understanding of MobX, but also practical experience. You will gain the confidence to tackle many of the common state management problems in your own projects. What you will learn *Explore the fundamental concepts of MobX, such as observables, actions, and reactions *Use observables to track state and react to its changes with validations and visual feedback (via React Components) *Create a MobX observable from different data types *Define form data as an observable state and tackle sync and async form validations *Use the special APIs to directly manipulate observables, tracking its changes, and discovering the reasons behind a change *Tackle any state management issue you may have in your app by combining mobx-utils and mobx-state-tree *Explore the internals of the MobX reactive system by diving into its inner workings Who this book is for This book is for web developers who want to implement easy and scalable state management for their apps. Knowledge of HTML, CSS, and JavaScript is assumed

Create, build and deploy universal JavaScript applications using Next.js 6.0 Key Features *Work with the entire tool-chain for developing universal Javascript applications with Next.js *A straightforward guide to implementing server-side rendering *Use Next.js to build SEO-friendly and super fast websites Book Description Next.js is a powerful addition to the ever-growing and dynamic JavaScript world. Built on top of React, Webpack, and Babel, it is a minimalistic framework for server-rendered universal JavaScript applications. This book will show you the best practices for building sites using Next. js, enabling you to build SEO-friendly and superfast websites. This book will guide you from building a simple single page app to a scalable and reliable client-server infrastructure. You will explore code sharing between client and server, universal modules, and server-side rendering. The book will take you through the core Next.js concepts that everyone is talking about – hot reloading, code splitting, routing, server rendering, transpilation, CSS isolation, and more. You will learn ways of implementing them in order to create your own universal JavaScript application. You will walk through the building and deployment stages of your applications with the JSON API,customizing the confguration, error handling,data fetching, deploying to production, and authentication. What you will learn *Explore the benefts of server-side rendering with Next.js *Create and link JavaScript modules together by understanding code splitting and bundling *Create website pages and wire them together through website navigation *Extend your application with additional Webpack loaders and features, as well as custom Babel plugins and presets *Use GraphQL and Apollo frameworks with Next.js to fetch data and receive push notifcations *Design and implement core modules, such as logging and authentication, and then more complex solutions for access control and business rule management *Write tests and use online CI tools such as Travis, GitLab, and more *Build a Docker-based container for your app and deploy it to online services such as Heroku and Now.sh Who this book is for This book is for JavaScript developers who want to learn how to generate server-rendered applications.

The easiest way to learn Lua programming Key Features *The easiest way to learn Lua coding *Use the Lua standard libraries and debug Lua code *Embed Lua as a scripting language using the Lua C API Book Description Lua is a small, powerful and extendable scripting/programming language that can be used for learning to program, and writing games and applications, or as an embedded scripting language. There are many popular commercial projects that allow you to modify or extend them through Lua scripting, and this book will get you ready for that. This book is the easiest way to learn Lua. It introduces you to the basics of Lua and helps you to understand the problems it solves. You will work with the basic language features, the libraries Lua provides, and powerful topics such as object-oriented programming. Every aspect of programming in Lua, variables, data types, functions, tables, arrays and objects, is covered in sufficient detail for you to get started. You will also find out about Lua's module system and how to interface with the operating system. After reading this book, you will be ready to use Lua as a programming language to write code that can interface with the operating system, automate tasks, make playable games, and much more. This book is a solid starting point for those who want to learn Lua in order to move onto other technologies such as Love2D or Roblox. A quick start guide is a focused, shorter title that provides a faster paced introduction to a technology. It is designed for people who don't need all the details at this point in their learning curve. This presentation has been streamlined to concentrate on the things you really need to know. What you will learn *Understand the basics of programming the Lua language *Understand how to use tables, the data structure that makes Lua so powerful *Understand object-oriented programming in Lua using metatables *Understand standard LUA libraries for math, file io, and more *Manipulate string data using Lua *Understand how to debug Lua applications quickly and effciently *Understand how to embed Lua into applications with the Lua C API Who this book is for This book is for developers who want to get up and running with Lua. This book is ideal for programmers who want to learn to embed Lua in their own applications, as well as for beginner programmers who have never coded before.

Leverage the power of Elixir programming language to solve practical problems associated with scalability, concurrency, fault tolerance, and high availability. Key Features *Enhance your Elixir programming skills using its powerful tools and abstractions *Discover how to develop a full-fledged file server *Understand how to use Phoenix to create a web interface for your application. Book Description Running concurrent, fault-tolerant applications that scale is a very demanding responsibility. After learning the abstractions that Elixir gives us, developers are able to build such applications with inconceivable low effort. There is a big gap between playing around with Elixir and running it in production, serving live requests. This book will help you fll this gap by going into detail on several aspects of how Elixir works and showing concrete examples of how to apply the concepts learned to a fully fledged application. In this book, you will learn how to build a rock-solid application, beginning by using Mix to create a new project. Then you will learn how the use of Erlang's OTP, along with the Elixir abstractions that run on top of it (such as GenServer and GenStage), that allow you to build applications that are easy to parallelize and distribute. You will also master supervisors (and supervision trees), and comprehend how they are the basis for building fault-tolerant applications. Then you will use Phoenix to create a web interface for your application. Upon fnishing implementation, you will learn how to take your application to the cloud, using Kubernetes to automatically deploy, scale, and manage it. Last, but not least, you will keep your peace of mind by learning how to thoroughly test and then monitor your application. What you will learn *Use Elixir tools, including IEx and Mix *Find out how an Elixir project is structured and how to create umbrella applications *Discover the power of supervision trees, the basis for fault-tolerance *Create a Domain-Specifc Language (DSL) that abstracts complexity *Create a blazing-fast web interface for your application with Phoenix *Set up an automatic deployment process for the cloud *Monitor your application and be warned if anything unexpected happens Who this book is for Mastering Elixir is for you if you have experience in Elixir programming and want to take it to the next level. This Elixir book shows you how to build, deploy, and maintain robust applications, allowing you to go from tinkering with Elixir on side projects to using it in a live environment. However, no prior knowledge of Elixir is required to enjoy the complex topics covered in the book.

Develop robust, Scala-powered projects with the help of machine learning libraries such as SparkML to harvest meaningful insight Key Features *Gain hands-on experience in building data science projects with Scala *Exploit powerful functionalities of machine learning libraries *Use machine learning algorithms and decision tree models for enterprise apps Book Description Scala, together with the Spark Framework, forms a rich and powerful data processing ecosystem. Modern Scala Projects is a journey into the depths of this ecosystem. The machine learning (ML) projects presented in this book enable you to create practical, robust data analytics solutions, with an emphasis on automating data workflows with the Spark ML pipeline API. This book showcases or carefully cherry-picks from Scala’s functional libraries and other constructs to help readers roll out their own scalable data processing frameworks. The projects in this book enable data practitioners across all industries gain insights into data that will help organizations have strategic and competitive advantage. Modern Scala Projects focuses on the application of supervisory learning ML techniques that classify data and make predictions. You'll begin with working on a project to predict a class of flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosis classification pipeline, followed by projects delving into stock price prediction, spam filtering, fraud detection, and a recommendation engine. By the end of this book, you will be able to build efficient data science projects that fulfil your software requirements. What you will learn *Create pipelines to extract data or analytics and visualizations *Automate your process pipeline with jobs that are reproducible *Extract intelligent data efficiently from large, disparate datasets *Automate the extraction, transformation, and loading of data *Develop tools that collate, model, and analyze data *Maintain the integrity of data as data flows become more complex *Develop tools that predict outcomes based on “pattern discovery” *Build really fast and accurate machine-learning models in Scala Who this book is for Modern Scala Projects is for Scala developers who would like to gain some hands-on experience with some interesting real-world projects. Prior programming experience with Scala is necessary.

Learn all the fundamentals of PHP with a book that blends theory with practice to build up the skills you need for modern web development. Key Features *Brush up on basic PHP 7 syntax and work with variables, data types, arrays, and loops *Master advanced concepts like building your own frameworks and creating your own applications *Apply your newly learned PHP skills to a variety of real-life business scenarios Book Description PHP is the preferred server-side scripting language for tech giants such as Facebook, Wikipedia, and Tumblr despite full-stack JavaScript gaining popularity with upcoming developers. This is because PHP performs better when dealing with heavy computations on the back end. In this book, you’ll learn everything you need to get up and running with the latest version of PHP, including package management with tools such as composer, secure database operations, and a whole host of other best practices that will help you stay a step ahead of traditional programmers. What you will learn *Understand the fundamentals of PHP and work with classes and inheritance *Learn about database operations and package management with composer *Tackle common security concerns and pitfalls using authentication and validation *Build effective PHP applications and frameworks for your business needs Who this book is for If you’re already familiar with another programming language and want to learn about the fundamentals of PHP programming, you’ll find the flow of this book to be an ideal fit. Having a prior understanding of HTML, MySQL, CSS, and JavaScript will be beneficial, but is not mandatory.

A fast-paced guide to putting your GeoServer-based application into fast, user-friendly, and secure production Key Features * Resolve bottlenecks, optimize data stores, and cluster server resources * Use identity management and authentication for a user-specific, secure web application * Go beyond traditional web hosting to explore the full range of hosting options in the cloud Book Description GeoServer is open source, server-side software written in Java that allows users to share and edit geospatial data. In this book, you'll start by learning how to develop a spatial analysis platform with web processing services. Then you'll see how to develop an algorithm by chaining together geospatial analysis processes, which you can share with anyone in the world. Next you'll delve into a very important technique to improve the speed of your map application—tile caching. Here, you'll understand how tile caching works, how to develop an effective tile cache-supported web service, and how to leverage tile caching in your OpenLayers web application. Further on, you'll explore important tweaks to produce a performant GeoServer-backed web mapping application. Moving on, you'll enable authentication on the frontend and backend to protect sensitive map data, and deliver sensitive data to your end user. Finally, you'll see how to put your web application into production in a secure and user-friendly way. You'll go beyond traditional web hosting to explore the full range of hosting options in the cloud, and maintain a reliable server instance. What you will learn * Develop a WPS-processing service to allow web-based geospatial data processing * Get to know important techniques to improve the speed of your web map application—tile caching, raster data optimization, and server clustering * Find out which GeoServer settings resolve bottlenecks * Develop an algorithm by chaining geospatial analysis processes together * Put your application into production with hosting, monitoring, and automated backup and recovery * Understand how to develop an effective tile cache-supported web service * Master techniques that ensure resilient server deployment Who this book is for This book is for anyone who wants to learn about advanced interfaces, security, and troubleshooting techniques in GeoServer. A basic understanding of GeoServer is required

Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards Key Features *Explore visualizations and perform histograms, stats, and map analytics *Unleash X-Pack and Timelion, and learn alerting, monitoring, and reporting features *Manage dashboards with Beats and create machine learning jobs for faster analytics Book Description Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities. What you will learn *Create unique dashboards with various intuitive data visualizations *Visualize Timelion expressions with added histograms and stats analytics *Integrate X-Pack with your Elastic Stack in simple steps *Extract data from Elasticsearch for advanced analysis and anomaly detection using dashboards *Build dashboards from web applications for application logs *Create monitoring and alerting dashboards using Beats Who this book is for Mastering Kibana 6.x is for you if you are a big data engineer, DevOps engineer, or data scientist aspiring to go beyond data visualization at scale and gain maximum insights from their large datasets. Basic knowledge of Elasticstack will be an added advantage, although not mandatory.

Discover how you can migrate a traditional on-premise SQL server database to a cloud-based solution with Microsoft Azure. Built with database administrators in mind, this book emulates different scenarios you might come across while working with large, complex SQL database migrations and provides solutions for effectively managing the migrated databases. Key Features *Implement backup, restore, and recovery of Azure SQL databases *Create shards and elastic pools to scale Azure SQL databases *Automate common management tasks with PowerShell *Implement over 40 practical activities and exercises across 24 topics to reinforce your learning Book Description As the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. It’s important to know how to administer SQL Database to fully benefit from all of the features and functionality that it provides. This book addresses important aspects of an Azure SQL Database instance such as migration, backup restorations, pricing policies, security, scalability, monitoring, performance optimization, high availability, and disaster recovery. It is a complete guide for database administrators, and ideal for those who are planning to migrate from on premise SQL Server database to an Azure SQL Server database. What you will learn *Learn how to provision a new database or migrate an existing on-premise solution *Understand how to backup, restore, secure, and scale your own Azure SQL Database *Optimize the performance by monitoring and tuning your cloud-based SQL instance *Implement high availability and disaster recovery procedures with SQL Database *Develop a roadmap for your own scalable cloud solution with Azure SQL Database Who this book is for This book is ideal for database administrators, database developers, or application developers who are interested in developing or migrating existing applications with Azure SQL Database. Prior experience of working with an on-premise SQL Server deployment and brief knowledge of PowerShell and C# are recommended prerequisites.

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust. Key Features *Think deeply as a developer about your strategy and toolset in data science *Discover the best tools that will suit you as a developer in your data analysis *Accelerate the road to data insight as a programmer using Jupyter Notebook *Deep dive into multiple industry data science use cases Book Description Thoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights. Industry expert David Taieb bridges the gap between developers and data scientists by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust. You'll find the right balance of strategic thinking and practical projects throughout this book, with extensive code files and Jupyter projects that you can integrate with your own data analysis. David Taieb introduces four projects designed to connect developers to important industry use cases in data science. The first is an image recognition application with TensorFlow, to meet the growing importance of AI in data analysis. The second analyses social media trends to explore big data issues and natural language processing. The third is a financial portfolio analysis application using time series analysis, pivotal in many data science applications today. The fourth involves applying graph algorithms to solve data problems. Taieb wraps up with a deep look into the future of data science for developers and his views on AI for data science. What you will learn *Bridge the gap between developer and data scientist with a Python-based toolset *Get the most out of Jupyter Notebooks with new productivity-enhancing tools *Explore and visualize data using Jupyter Notebooks and PixieDust *Work with and assess the impact of artificial intelligence in data science *Work with TensorFlow, graphs, natural language processing, and time series *Deep dive into multiple industry data science use cases *Look into the future of data analysis and where to develop your skills Who this book is for This book is for established developers who want to bridge the gap between programmers and data scientists. With the introduction of PixieDust from its creator, the book will also be a great desk companion for the already accomplished Data Scientist. Some fluency in data interpretation and visualization is also assumed since this book addresses data professionals such as business and general data analysts. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.

Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. About This Book ? Get up and running with the Jupyter ecosystem and some example datasets ? Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests ? Discover how you can use web scraping to gather and parse your own bespoke datasets Who This Book Is For This book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start. What You Will Learn ? Identify potential areas of investigation and perform exploratory data analysis ? Plan a machine learning classification strategy and train classification models ? Use validation curves and dimensionality reduction to tune and enhance your models ? Scrape tabular data from web pages and transform it into Pandas DataFrames ? Create interactive, web-friendly visualizations to clearly communicate your findings In Detail Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. Style and approach This book covers every aspect of the standard data-workflow process within a day, along with theory, practical hands-on coding, and relatable illustrations.

A hands-on guide to creating, monitoring, and tuning a high performance Spring web application About This Book ? Understand common performance pitfalls and improve your application's performance ? Build and deploy strategies for complex applications using the microservice architecture ? Understand internals of JVM - the core of all Java Runtime Environments Who This Book Is For If you’re a Spring developer who’d like to build high performance applications and have more control over your application's performance in production and development, this book is for you. Some familiarity with Java, Maven, and Eclipse is necessary. What You Will Learn ? Master programming best practices and performance improvement with bean wiring ? Analyze the performance of various AOP implementations ? Explore database interactions with Spring to optimize design and configuration ? Solve Hibernate performance issues and traps ? Leverage multithreading and concurrent programming to improve application performance ? Gain a solid foundation in JVM performance tuning using various tools ? Learn the key concepts of the microservice architecture and how to monitor them ? Perform Spring Boot performance tuning, monitoring, and health checks In Detail While writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared toward detecting bottlenecks. The recent release of Spring 5.0 brings major advancements in the rich API provided by the Spring framework, which means developers need to master its tools and techniques to achieve high performance applications. Hands-On High Performance with Spring 5 begins with the Spring framework's core features, exploring the integration of different Spring projects. It proceeds to evaluate various Spring specifications to identify those adversely affecting performance. You will learn about bean wiring configurations, aspect-oriented programming, database interaction, and Hibernate to focus on the metrics that help identify performance bottlenecks. You will also look at application monitoring, performance optimization, JVM internals, and garbage collection optimization. Lastly, the book will show you how to leverage the microservice architecture to build a high performance and resilient application. By the end of the book, you will have gained an insight into various techniques and solutions to build and troubleshoot high performance Spring-based applications. Style and approach This book takes a step-by-step approach with focused examples to teach you how to increase application performance.

Find out how to write Kotlin code without overhead and how to use different profiling tools and bytecode viewer to inspect expressions of Kotlin language. About This Book ? Apply modern Kotlin features to speed up processing and implement highly efficient and reliable codes. ? Learn memory optimization, concurrency, multi-threading, scaling, and caching techniques to achieve high performance. ? Learn how to prevent unnecessary overhead and use profiling tools to detect performance issues. Who This Book Is For This book is for Kotlin developers who would like to build reliable and high-performance applications. Prior Kotlin programming knowledge is assumed. What You Will Learn ? Understand the importance of high performance ? Learn performance metrics ? Learn popular design patterns currently being used in Kotlin ? Understand how to apply modern Kotlin features to data processing ? Learn how to use profling tools ? Discover how to read bytecode ? Learn to perform memory optimizations ? Uncover approaches to the multithreading environment In Detail The ease with which we write applications has been increasing, but with it comes the need to address their performance. A balancing act between easily implementing complex applications and keeping their performance optimal is a present-day requirement In this book, we explore how to achieve this crucial balance, while developing and deploying applications with Kotlin. The book starts by analyzing various Kotlin specifcations to identify those that have a potentially adverse effect on performance. Then, we move on to monitor techniques that enable us to identify performance bottlenecks and optimize performance metrics. Next, we look at techniques that help to us achieve high performance: memory optimization, concurrency, multi threading, scaling, and caching. We also look at fault tolerance solutions and the importance of logging. We'll also cover best practices of Kotlin programming that will help you to improve the quality of your code base. By the end of the book, you will have gained some insight into various techniques and solutions that will help to create high-performance applications in the Kotlin environment Style and approach This book guides you through how to use profiling tools to detect performance issues and build high-performance applications in the Kotlin environment.

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. About This Book ? Explore deep reinforcement learning (RL), from the first principles to the latest algorithms ? Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms ? Keep up with the very latest industry developments, including AI-driven chatbots Who This Book Is For Some fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL. What You Will Learn ? Understand the DL context of RL and implement complex DL models ? Learn the foundation of RL: Markov decision processes ? Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others ? Discover how to deal with discrete and continuous action spaces in various environments ? Defeat Atari arcade games using the value iteration method ? Create your own OpenAI Gym environment to train a stock trading agent ? Teach your agent to play Connect4 using AlphaGo Zero ? Explore the very latest deep RL research on topics including AI-driven chatbots In Detail Recent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google's use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on 'grid world' environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots. Style and approach Deep Reinforcement Learning Hands-On explains the art of building self-learning agents using algorithms and practical examples. Experiment with famous examples, such as Google's defeat of well-known Atari arcade games.

Snapchat ?Marketing ?Success Virtually all social media sites out there have users communicating with text or chat…sure, some social media sites are starting to adopt video and there is some image sharing, but at the core, comments are left and messages are sent. That is NOT the case with Snapchat. Communication is all done through images and videos with the occasional small caption. This is how the younger generation likes to communicate… Short and sweet. Snapchat is one of the most unusual social networks to make it big online. You wouldn’t have thought that such a simple concept, handled arguably quite poorly to begin with, would become the huge behemoth it has today. And yet it has – and right now it’s flying higher than ever thanks to its 2.0 update. Snapchat’s story is surprising enough on face value but when you learn some of the more surprising twists and turns, the plot only thickens. Read on and let’s take a closer look at some of the things you probably didn’t know about Snapchat… ?Snapchat is Highly Personal If you’ve had your ear to the ground, then you may have heard the buzz about live streaming. Live streaming services are quickly becoming incredibly popular thanks to their ability to allow direct and live communication between a brand and its followers. But in fact, Snapchat has been providing something very similar for a long time. Snapchat allows you to update people about your trip to another country, it allows you to invite people to watch the public unveiling of your new product or service and it allows you to share a joke as you’re coming out the shower. This kind of personal communication has the power to create much more engagement, familiarity and trust. And if you look at the big names on Snapchat – like Arnold Schwarzenegger – then you’ll be able to easily see how it can be used to great effect. It Has Incredible Engagement Yes, Snapchat’s ‘instant’ nature gives it the potential to greatly increase engagement. And in reality, that’s exactly what it does. If ever you think you can’t make it big online, let Snapchat be an inspiring story to suggest otherwise. Snapchat is by no means some miracle feat of coding. Rather, this was actually a relatively poorly put together piece of code and would sap huge amounts of battery and CPU power when running in the background even! That’s not to say it’s a bad app – only that it’s all the more impressive it was able to do as well as it did. Facebook Tried to Buy Snapchat When it was enjoying its first major surge in popularity, Snapchat was offered a purchase bid from Facebook worth $3 billion. That’s a huge vote of confidence from the biggest social network on the planet… and Snapchat turned it down! ??Here’s Why You Need To Take A Close Look At Snapchat… ·Although often overlooked, Snapchat is one of the most powerful new social networks for driving traffic online…? ·Snapchatis all about socialization and a great way to interact with your brand? ·Snapchat was recently offered $3 Billion by Facebook… and they turned it down… this makes it clear that Snapchat is sure that it’s only getting bigger and better!? ·Engagement on Snapchat is MASSIVE, and growing… because all communication is focused on image and video sharing, your audience is very attentive and interested in anything you put in front of them…...Snapchat is adding 200 million new active users every single month!

An insightful guide to learning the Go programming languageAbout This Book·Insightful coverage of Go programming syntax, constructs, and idioms to help you understand Go code effectively·Push your Go skills, with topics such as, data types, channels, concurrency, object-oriented Go, testing, and network programming·Each chapter provides working code samples that are designed to help reader quickly understand respective topicWho This Book Is ForIf you have prior exposure to programming and are interested in learning the Go programming language, this book is designed for you. It will quickly run you through the basics of programming to let you exploit a number of features offered by Go programming language.What You Will Learn·Install and configure the Go development environment to quickly get started with your first program.·Use the basic elements of the language including source code structure, variables, constants, and control flow primitives to quickly get started with Go·Gain practical insight into the use of Go's type system including basic and composite types such as maps, slices, and structs.·Use interface types and techniques such as embedding to create idiomatic object-oriented programs in Go.·Develop effective functions that are encapsulated in well-organized package structures with support for error handling and panic recovery.·Implement goroutine, channels, and other concurrency primitives to write highly-concurrent and safe Go code·Write tested and benchmarked code using Go's built test tools·Access OS resources by calling C libraries and interact with program environment at runtimeIn DetailThe Go programming language has firmly established itself as a favorite for building complex and scalable system applications. Go offers a direct and practical approach to programming that let programmers write correct and predictable code using concurrency idioms and a full-featured standard library.This is a step-by-step, practical guide full of real world examples to help you get started with Go in no time at all. We start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. After this, you learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Next, you will be familiarized with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage.Finally, you will be able to utilize some of the most important features of GO such as, Network Programming and OS integration to build efficient applications. All the concepts are explained in a crisp and concise manner and by the end of this book; you would be able to create highly efficient programs that you can deploy over cloud.Style and approachThe book is written to serve as a reader-friendly step-by-step guide to learning the Go programming language. Each topic is sequentially introduced to build on previous materials covered. Every concept is introduced with easy-to-follow code examples that focus on maximizing the understanding of the topic at hand.