Everything you need to start working with React 16 and assess React FiberAbout This Book·Hands-on examples and tutorials for the latest React 16 release·Assess the impact of React Fiber for your future web development·Build maintainable and high performance React 16 web applicationsWho This Book Is ForIf you're a frontend developer with some knowledge of native JavaScript development and frontend frameworks, wishing to learn the fastest web user interface library there is, then this book is ideal for you.What You Will Learn·Learn to code React 16 with hands-on examples and clear tutorials·Install powerful React 16 tools to make development much more efficient·Understand the impact of React Fiber today and the future of your web development·Utilize the Redux application architecture with your React components·Create React 16 elements with properties and children·Get started with stateless and stateful React components·Use JSX to speed up your React 16 development process·Add reactivity to your React 16 components with lifecycle methods·Test your React 16 components with the Jest test frameworkIn DetailReact 16 Essentials, Second Edition, fully updated for React 16, takes you on a fast-paced journey through building your own maintainable React 16 applications. React experts Artemij Fedosejev and Adam Boduch give you all the essentials you need to know and start working with React 16, in this new edition of the best-selling React.js Essentials title. You'll find the latest React 16 code updates, assessment of React Fiber, new coverage of Redux, and how to work as a modern React developer.The authors offer you their current assessment of React Fiber, and you'll soon be exploring React 16 hands on, creating your own single and multiple user interface elements with React 16. You'll then see how to create stateless and stateful components and make them reactive. You'll also learn to interact between your components and lifecycle methods, and gauge how to effectively integrate your user interface components with other JavaScript libraries. Delve deep into the core elements of the Redux architecture and learn how to manage your application and data persistence. Then go the extra mile with the Jest test framework, and run multiple tests on your applications and find solutions to scale without complexity.Today React is used by Facebook, Instagram, Khan Academy, and Imperial College London, to name a few. Many new users recognize the benefits of React and adopt it in their own projects, forming a fast-growing community. The speed at which React has evolved promises a bright future for anyone who invests in learning it today. Let Artemij and Adam bring you a brand new look at React 16 and React Fiber, and move your web development into the future.Style and approachReact 16 Essentials, Second Edition, will take you on a fast-paced, hands-on journey through building your own maintainable React 16 applications.

Frustrated with the plethora of conflicting information on how to self-publish? Wouldn’t it be wonderful to sit down with someone who has already made the mistakes, done the analysis, and will provide you the short cuts—the secrets about the things that work? Now you have that chance with the Career Author Secrets series.Indie Publishing (Self Publishing) has changed dramatically in the past five years. There are now new, easier tools to use for every part of the process—editing, formatting, distribution, sales, and analysis. This first book in the Career Author Secrets series provides a foundation for navigating the indie publishing process and staying away from the scammers. It breaks down the requirements for self-publishing successfully, protecting your rights for the future, and YES I do share all the secrets I’ve learned. It contains everything a DIY author needs to get her book from manuscript to professional publication in both ebook and print, including: Why books don’t sell Options for DIY or contracting professionals The truth about ISBNs & Copyright Registration Secrets for formatting your book the easy way Creating book covers that sell Making decisions about distribution This book is especially valuable for those with limited technical skills who want to produce a quality professional book for the least amount of cost. Learn the secrets to easier implementation and how to make good decisions on what is worth your time and money.

An expert's guide to build fault tolerant MongoDB applicationAbout This Book·Master the advanced modeling, querying, and administration techniques in MongoDB and become a MongoDB expert·Covers the latest updates and Big Data features frequently used by professional MongoDB developers and administrators·If your goal is to become a certified MongoDB professional, this book is your perfect companionWho This Book Is ForMastering MongoDB is a book for database developers, architects, and administrators who want to learn how to use MongoDB more effectively and productively.If you have experience in, and are interested in working with, NoSQL databases to build apps and websites, then this book is for you.What You Will Learn·Get hands-on with advanced querying techniques such as indexing, expressions, arrays, and more.·Configure, monitor, and maintain highly scalable MongoDB environment like an expert.·Master replication and data sharding to optimize read/write performance.·Design secure and robust applications based on MongoDB.·Administer MongoDB-based applications on-premise or in the cloud·Scale MongoDB to achieve your design goals·Integrate MongoDB with big data sources to process huge amounts of dataIn DetailMongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources.You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.Style and approachThis book takes a practical, step-by-step approach to explain the concepts of MongoDB. Practical use-cases involving real-world examples are used throughout the book to clearly explain theoretical concepts.

You're already a smart person, you don't need a 1000+ page book to get you started on the web's fastest growing programming platform. Instead, Learn Python in One Hour delivers on the promise of code literacy while saving your most precious commodity - time itself. Volkman's innovative programming-by-example approach means you focus on usage, not mindless detail. Based on the author's sold-out live seminars, you'll see Python's flexible coding technique in action as we refactor from script to procedural to object-oriented during actual problem solving. In a seven-lesson progression, you'll be exposed to this and more: Basic file input and output operations Exception handling with try/except Using functions to compute and return multiple values Basic elements of a class definition and how to call methods Lists, dictionaries, sets, and other collections Iteration through collections, files, sorted sets Converting lists to strings and vice-versa Six most common Python pitfalls Take the One Hour challenge and see if you too can pick up 90% of syntax and semantics in less time than you probably spend commuting each day.About the Author Victor R. Volkman graduated cum laude from Michigan Technological University with a BS in Computer Science in 1986. Since then, he has written for numerous publications, including The C Gazette, C++ Users Journal, Windows Developers Journal, and many others. He has taught college-level programming courses at Washtenaw Community College and has served on its Computer Information Science (CIS) Faculty Advisory Board for more than a decade. Volkman says Python helped him "rediscover the joy of programming again." www.volkman.org From Modern Software Press

☆★☆ Javascript: Javascript Programming For Absolute Beginners☆★☆ The best starter guide for javascript!The fundamentals of javascript are often missed, however, this book's primary focus and emphasis is learning the essentials and to build from the ground up.? What You'lll Learn The history of JavaScript and its uses Setting Up Your Environment The Vital Basics of HTML and CSS Statements, Comments & Variables How to properly use jQuery String Operators JavaScript Array Methods Loops and Iteration How To Use Functions And much, much more! ? Within this book you will learn various mechanisms of javascript programming: variables, conditional statements, and why learning these core principles lead to success.Once you gain knowledge of the fundamental building blocks of javascript you will gain confidence to tackle more complex topics down the road.Programming books can easily retail for 100s of dollars, why not start with an expert you can trust and for an affordable price?The immense value of this book cannot be understated, and this is a once in a life time opportunity for you to take advantage of and invest in yourself by empowering yourself with the right tools and knowledge for success.What are you waiting for?Includes: 21 practice questions! Note* For best visual experience of diagrams it is highly recommend you purchases the paperback version for best image quality.☆★☆ Grab your copy now!☆★☆

An in-depth guide to exploring the design, architecture, and techniques behind building sophisticated, scalable, and maintainable single-page applications in JavaScriptAbout This Book·Build large-scale, feature-complete SPAs by leveraging widely used tools and techniques.·Gain a solid understanding of architecture and SPA design to build applications using the library or framework of your choice.·Explore the various facets of SPA development to build web apps that are fast, scalable, and easy to test.Who This Book Is ForThis book is ideal for JavaScript developers who want to build complex single-page applications in JavaScript. Some basic understanding of SPA concepts will be helpful but not essential.What You Will Learn·Organize your development environment using the command line with NPM, Bower, and Grunt.·Choose an accurate design pattern for your app·Understand modular JavaScript programming and Node.js·Interact with a REST API using JavaScript and AJAX with practical examples·Build a single page application using the MEAN stack·Connect your app across popular social media platforms such as Facebook, Twitter, and LinkedIn·Test your app, both on the server side and in views·Prepare your app for the real world and deploy it to HerokuIn DetailSingle-page web applications—or SPAs, as they are commonly referred to—are quickly becoming the de facto standard for web app development. The fact that a major part of the app runs inside a single web page makes it very interesting and appealing. Also, the accelerated growth of browser capabilities is pushing us closer to the day when all apps will run entirely in the browser.This book will take your JavaScript development skills to the next level by teaching you to create a single-page application within a full-stack JavaScript environment. Using only JavaScript, you can go from being a front-end developer to a full-stack application developer with relative ease.You will learn to cross the boundary from front-end development to server-side development through the use of JavaScript on both ends. Use your existing knowledge of JavaScript by learning to manage a JSON document data store with MongoDB, writing a JavaScript powered REST API with Node.js and Express, and designing a front-end powered by AngularJS.This book will teach you to leverage the MEAN stack to do everything from document database design, routing REST web API requests, data-binding within views, and adding authentication and security to building a full-fledged, complex, single-page web application.In addition to building a full-stack JavaScript app, you will learn to test it with JavaScript-powered testing tools such as Mocha, Karma, and Jasmine. Finally, you will learn about deployment and scaling so that you can launch your own apps into the real world.Style and approachFollowing a structured approach, this book helps readers gain expertise in SPA development. Its thorough coverage of SPA architecture and design, along with practical use cases, provides readers with a clear path to building applications with the library of their choice. For readers who are afraid to take the plunge straightaway, the book also offers step-by-step guidance on developing a complex web app.

Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and RAbout This Book·This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way·Work with different types of datasets, and reshape the layout of your data to make it easier for analysis·Get simple examples and real-life data wrangling solutions for data pre-processingWho This Book Is ForIf you are a data scientist, data analyst, or a statistician who wants to learn how to wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding of them will be beneficial.What You Will Learn·Read a csv file into python and R, and print out some statistics on the data·Gain knowledge of the data formats and programming structures involved in retrieving API data·Make effective use of regular expressions in the data wrangling process·Explore the tools and packages available to prepare numerical data for analysis·Find out how to have better control over manipulating the structure of the data·Create a dexterity to programmatically read, audit, correct, and shape data·Write and complete programs to take in, format, and output data setsIn DetailAround 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages that can be best used to manipulate different kinds of data, as per your requirements. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them.You'll start by understanding the data wrangling process and get a solid foundation to work with different types of data. You'll work with different data structures and acquire and parse data from various locations. You'll also see how to reshape the layout of data and manipulate, summarize, and join data sets. Finally, we conclude with a quick primer on accessing and processing data from databases, conducting data exploration, and storing and retrieving data quickly using databases.The book includes practical examples on each of these points using simple and real-world data sets to give you an easier understanding. By the end of the book, you'll have a thorough understanding of all the data wrangling concepts and how to implement them in the best possible way.Style and approachThis is a practical book on data wrangling designed to give you an insight into the practical application of data wrangling. It takes you through complex concepts and tasks in an accessible way, featuring information on a wide range of data wrangling techniques with Python and R

An ebook is just a website in a boxBut what’s inside the box?In this clear, concise guide, ebook designer and indie author David Kudler folds back the lid of ePub, the universal ebook format. He introduces you to the nuts and bolts that make an ebook work. Includes overviews of the ePub format and internal structure as well as basic guides to the HTML and CSS (Cascading Style Sheets) that you need to know to make your ebooks look professional.(Self-Publishing & Ebook Creation)David Kudler is an independent publisher and author. He has been designing ebooks since 2010. He blogs about ebook creation, publishing, and marketing on Huffington Post, Stillpoint Digital Press, and The Book Designer.

Bu kitap “Bili?im Teknolojileri (BT) Ekonomisi ve Toplumu” adl? ilk kitab?mda BT’lerin hayat?m?z? de?i?tirdi?i d?rt yerdeki (Evde, okulda, kentlerde ve i?yerlerinde) incelememin ü?üncüsü olan i?yerlerindeki etkileri üzerinedir. Daha ?nce “Bili?im Teknolojileri Destekli ??renim” ve “Bili?im Kentleri ?a??” adl? kitaplar?mda BT’lerin okul ve kent ya?am?ndaki etkilerini detaylar?yla inceledim. 30 y?l? a?an i? hayat?mda BT’lerin i? dünyas?n? ve y?netimini kurulan Bili?im Sistemleri (BS) vas?tas?yla nas?l de?i?tirdi?ini ya?ayarak bildi?imden bu konu i?in uzun bir ara?t?rma yapmak zorunda oldu?umu biliyordum. Di?er yandan 592 sayfay? bulan bu ara?t?rmada sayfa s?n?rlamas? amac?yla BS’lerle ilgili baz? konular? (?rne?in Toplam Kalite Y?netimi, 6 Sigma, Simülasyon, Gereksinim Y?netimi, Programlama vs.) kitap haricinde b?rakmak zorunda kald???m? da belirtmeliyim. Bu kitapta a??rl?kl? olarak BT’lerin i?letmelerdeki uygulamas? olan Bili?im Sistemlerinden bahsettim ?ünkü BT’ler BS’ler vas?tas?yla i?letmeleri ve y?netimlerini etkilemektedirler. Dünyan?n en h?zl? bilgisayar?n? veya en yeni ak?ll? telefonunu sat?n alman?z veya en h?zl? internet eri?imine sahip olman?z i?letmeye ekstra bir katk? sa?lamamaktad?r. Ne zaman ki bu ara?lar i?letme süre?lerinin otomasyonunu sa?layan BS’ler i?inde kullan?lmaya ba?lan?nca i?letme rekabet?ili?ine, kar?na veya maliyetlerinin kontrolüne bir faydas? olabilmektedir. Bu yüzden i?letme y?neticilerinin bilmesi gereken en ?nemli konu BT ara?lar?n? ve di?er yeni teknolojik ara?lar? i?letme i? süre?lerinde nas?l verimli ve etkin bir ?ekilde kullanabileceklerini bilmeleridir. Bilmiyorlarsa da bilenleri i?e almalar?d?r. En son yenilikleri kullanmak belki de firmaya zarar vermekte veya rekabet dezavantaj? olu?turmaktad?r. Bu a??dan ?ncelikle bugün BS’lerin hangi i?letme fonksiyonlar?n? nas?l etkiledi?ini ve gelecekte nas?l etkileyebilece?ini anlatmaya ?al??t?m. ?rne?in, Yapay Zek? (YZ) ve onun en ?nemli uygulamalar?ndan birisi olan Robotiklerin i? süre?leri ve i?letme y?netimlerini yak?n bir zamanda nas?l etkileyebilece?inden bahsettim. Endüstri 4.0 teknolojileriyle insan ve makinelerin birlikte nas?l verimli ve etkin bir ?ekilde ?al??malar? gerekti?i insanl???n ve i?letmelerin ?nünde duran en ?nemli konulardan birisi oldu?unu s?ylemek fazla fütüristik bir kehanet de?il. Kitapta ??letmelerde kullan?lan Bili?im Sistemleriyle ilgili temel konulara bir bütünlük i?inde bakarken kitab?n arka kapa??ndaki sorular? cevaplamaya ?al??t?m. Bili?im Sistemleri aras?ndaki ili?kileri, farkl?l?klar?n? ve birbirlerini nas?l tamamlad?klar?n? sat?r aralar?nda vermeye ?al??t?m. BS’lerle i?letme süre?lerinin nas?l bütünle?tirilece?i i?letmelerdeki en yeni y?netim sorunlar? oldu?u unutulmamal?d?r. ??letme y?neticilerinin hat?rlamas? gereken bir ?nemli konuda BS’lerin bir yaz?l?m ve de?i?im projesi olmas?d?r. Bili?im Teknolojileri ve Sistemleri okuryazarl??? i?in bilinmesi gereken baz? teknik, bilimsel ve teknolojik terimlerin k?saltmalar?n? kitapta ilk kullan?ld???nda uzun ve k?salt?lm?? yaz?l?mlar?yla birlikte kulland?m. ?rne?in Veritabanlar? (VT), Veri ??leme Sistemi (V?S), Kurumsal ?? Zek?s? (K?Z), Y?netim Bili?im Sistemi (YBS), Karar Destek Sistemi (KDS), Veri Ambar? (VA), Veri Madencili?i (VM), Kurumsal Kaynak Planlama (KKP), Mü?teri ?li?kileri Y?netimi (M?Y), Tedarik Zinciri Y?netimi (TZY), Ofis Otomasyon Sistemi (OOS) ve Bilgi Y?netimi (BY) en fazla kulland???m k?saltmalard?r. Kitap sonundaki “K?saltmalar” tablosunda tüm k?saltmalar? listelemeye ?al??t?m. Ayr?ca bir?ok terimin ?ngilizcesini de parantez i?inde vermeye ?al??t?m. ?rne?in Veritabanlar? (Database) gibi. Dilimize girmi? bir?ok yabanc? teknik terim ve kelimelerin Türk?esini kullanmaya ?zen g?sterdim ve bu yabanc? kelimeleri de parantez i?inde yazd?m. Ayr?ca BT’lerin BS’ler vas?tas?yla i?letmeler üzerindeki etkilerini incelerken, birazda üniversitelerimizde YBS b?lümlerinde okutulan BS’lerle ilgili uzmanl?k konular?n?n ?o?unu ?zetlemeye ?al??t?m. ?zellikle i? Dünyas?nda ?ok?a kullan?lan baz? konulara (V?S, YBS, KDS, VT, VA, BY, US, KKP, M?Y, Sistem yakla??m?, SGYD vs.) biraz detayl? bakmaya ?al??t?m. K?sacas? kitapta i?letmelerde Bili?im Teknolojileri ve Sistemleri denince akla gelebilecek bir?ok konuya de?inmeye ?al??t?m. Bu yüzden bu kitab?n BS alan?nda bir elkitab? veya kaynak kitap olarak dü?ünülmesinde fayda vard?r. Bu kitapta ilkokul ??retmenim Say?n ?erare ?zya?c? han?mdan, en son Doktora tez dan??man?m say?n Prof. Dr. Len Rogers’a kadar yüzlerce ki?inin eme?inin oldu?u unutulmamal?d?r. 1984’ten beri Türkiye, ABD, Kanada ve ?ngiltere de ?al??t???m veya dan??manl???n? yapt???m onlarca firma ve mü?terilerimin katk?lar?n? unutabilir miyim? Burada isim isim te?ekkür edemedi?im ancak bu kitab?n yaz?lmas?nda katk?lar? olan daha yüzlerce ki?i var, hepsine en i?ten dileklerimle te?ekkür ederim. Hayatta neyi tek ba??m?za yapabiliyoruz ki? Bu kitap 30+ y?ld?r üretim planlama ve stok kontrol müdürü, metot etüdcü, sistem analisti, programc?, VT tasar?mc?s?

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key Features * Your entry point into the world of artificial intelligence using the power of Python * An example-rich guide to master various RL and DRL algorithms * Explore the power of modern Python libraries to gain confidence in building self-trained applications Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL. By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems. This Learning Path includes content from the following Packt products: * Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran * Python Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa Shanmugamani What you will learn * Train an agent to walk using OpenAI Gym and TensorFlow * Solve multi-armed-bandit problems using various algorithms * Build intelligent agents using the DRQN algorithm to play the Doom game * Teach your agent to play Connect4 using AlphaGo Zero * Defeat Atari arcade games using the value iteration method * Discover how to deal with discrete and continuous action spaces in various environments Who this book is for If you’re an ML/DL enthusiast interested in AI and want to explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected.

Explore the different data mining techniques using the libraries and packages offered by Python Key Features * Grasp the basics of data loading, cleaning, analysis, and visualization * Use the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data mining * Your one-stop guide to build efficient data mining pipelines without going into too much theory Book Description Data mining is a necessary and predictable response to the dawn of the information age. It is typically defined as the pattern and/ or trend discovery phase in the data mining pipeline, and Python is a popular tool for performing these tasks as it offers a wide variety of tools for data mining. This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn, and matplotlib. You will then learn the different stages of data mining such as data loading, cleaning, analysis, and visualization. You will also get a full conceptual description of popular data transformation, clustering, and classification techniques. By the end of this book, you will be able to build an efficient data mining pipeline using Python without any hassle. What you will learn * Explore the methods for summarizing datasets and visualizing/plotting data * Collect and format data for analytical work * Assign data points into groups and visualize clustering patterns * Learn how to predict continuous and categorical outputs for data * Clean, filter noise from, and reduce the dimensions of data * Serialize a data processing model using scikit-learn’s pipeline feature * Deploy the data processing model using Python’s pickle module Who this book is for Python developers interested in getting started with data mining will love this book. Budding data scientists and data analysts looking to quickly get to grips with practical data mining with Python will also find this book to be useful. Knowledge of Python programming is all you need to get started.

Gain a complete overview of Oracle CX Cloud Suite and its tools for functions ranging from marketing to sales and commerce to service Key Features * Make optimal use of your Oracle CX Cloud Suite to improve business results * Achieve improved customer insights through Oracle CX’s advanced capabilities * Learn how to design a CX solution architecture Book Description Oracle CX Cloud offers features and capabilities that help companies excel at sales, customer management, and much more. This book is a detailed guide to implementing cloud solutions and helping administrators of all levels thoroughly understand the platform. Oracle CX Cloud Suite begins with an introduction to high-level Oracle architecture and examines what CX offers over CRM. You’ll explore the different cloud-based tools for marketing, sales, and customer services, among others. The book then delves into deployment by covering basic settings, setting up users, and provisioning. You’ll see how to integrate the CX suite to work together to interact with the environment and connect with legacy systems, social connectors, and internet services. The book concludes with a use case demonstrating how the entire Oracle CX Suite is set up, and also covers how to leverage Oracle ICS and Oracle CX Cloud for hybrid deployment. By end of the book, you will have learned about the working of the Oracle CX Cloud Suite and how to orchestrate user experience across all products seamlessly. What you will learn * Differentiate between Oracle CRM and CX Cloud suites * Explore a variety of Oracle CX Cloud tools for marketing and sales * Set up users and database connections during deployment * Employ Cloud Suite CX tools to aid in planning and analysis * Implement hybrid Oracle CX solutions and connect with legacy systems * Integrate with social media connectors like Facebook and LinkedIn * Leverage Oracle ICS and Oracle CX Suite to improve business results Who this book is for This book is for administrators who want to develop and strengthen their Oracle CX Cloud Suite skills in the areas of configuration and system management. Whether you are a new administrator or an experienced professional, this book will enhance your understanding of the new Oracle CX features.

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Key Features * Work with large amounts of agile data using distributed datasets and in-memory caching * Source data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3 * Employ the easy-to-use PySpark API to deploy big data Analytics for production Book Description Apache Spark is an open source parallel-processing framework that has been around for quite some time now. One of the many uses of Apache Spark is for data analytics applications across clustered computers. In this book, you will not only learn how to use Spark and the Python API to create high-performance analytics with big data, but also discover techniques for testing, immunizing, and parallelizing Spark jobs. You will learn how to source data from all popular data hosting platforms, including HDFS, Hive, JSON, and S3, and deal with large datasets with PySpark to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy data in production and at scale. This book covers installing and setting up PySpark, RDD operations, big data cleaning and wrangling, and aggregating and summarizing data into useful reports. You will also learn how to implement some practical and proven techniques to improve certain aspects of programming and administration in Apache Spark. By the end of the book, you will be able to build big data analytical solutions using the various PySpark offerings and also optimize them effectively. What you will learn * Get practical big data experience while working on messy datasets * Analyze patterns with Spark SQL to improve your business intelligence * Use PySpark's interactive shell to speed up development time * Create highly concurrent Spark programs by leveraging immutability * Discover ways to avoid the most expensive operation in the Spark API: the shuffle operation * Re-design your jobs to use reduceByKey instead of groupBy * Create robust processing pipelines by testing Apache Spark jobs Who this book is for This book is for developers, data scientists, business analysts, or anyone who needs to reliably analyze large amounts of large-scale, real-world data. Whether you're tasked with creating your company's business intelligence function or creating great data platforms for your machine learning models, or are looking to use code to magnify the impact of your business, this book is for you.

Build modular React web apps that are scalable, maintainable and powerful using design patterns and insightful practices Key Features * Get familiar with design patterns in React like Render props and Controlled/uncontrolled inputs * Learn about class/ functional, style and high order components with React * Work through examples that can be used to create reusable code and extensible designs Book Description React is an adaptable JavaScript library for building complex UIs from small, detached bits called components. This book is designed to take you through the most valuable design patterns in React, helping you learn how to apply design patterns and best practices in real-life situations. You’ll get started by understanding the internals of React, in addition to covering Babel 7 and Create React App 2.0, which will help you write clean and maintainable code. To build on your skills, you will focus on concepts such as class components, stateless components, and pure components. You'll learn about new React features, such as the context API and React Hooks that will enable you to build components, which will be reusable across your applications. The book will then provide insights into the techniques of styling React components and optimizing them to make applications faster and more responsive. In the concluding chapters, you’ll discover ways to write tests more effectively and learn how to contribute to React and its ecosystem. By the end of this book, you will be equipped with the skills you need to tackle any developmental setbacks when working with React. You’ll be able to make your applications more flexible, efficient, and easy to maintain, thereby giving your workflow a boost when it comes to speed, without reducing quality. What you will learn * Get familiar with the new React features,like context API and React Hooks * Learn the techniques of styling and optimizing React components * Make components communicate with each other by applying consolidate patterns * Use server-side rendering to make applications load faster * Write a comprehensive set of tests to create robust and maintainable code * Build high-performing applications by optimizing components Who this book is for This book is for web developers who want to increase their understanding of React and apply it to real-life application development. Prior experience with React and JavaScript is assumed.

Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key Features * Build practical, real-world AI projects on Android and iOS * Implement tasks such as recognizing handwritten digits, sentiment analysis, and more * Explore the core functions of machine learning, deep learning, and mobile vision Book Description We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learn * Explore the concepts and fundamentals of AI, deep learning, and neural networks * Implement use cases for machine vision and natural language processing * Build an ML model to predict car damage using TensorFlow * Deploy TensorFlow on mobile to convert speech to text * Implement GAN to recognize hand-written digits * Develop end-to-end mobile applications that use AI principles * Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch Who this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate Key Features * Understand effective synchronization strategies for faster processing using GPUs * Write parallel processing scripts with PyCuda and PyOpenCL * Learn to use the CUDA libraries like CuDNN for deep learning on GPUs Book Description GPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing. This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you’ll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance. By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly. What you will learn * Utilize Python libraries and frameworks for GPU acceleration * Set up a GPU-enabled programmable machine learning environment on your system with Anaconda * Deploy your machine learning system on cloud containers with illustrated examples * Explore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm. * Perform data mining tasks with machine learning models on GPUs * Extend your knowledge of GPU computing in scientific applications Who this book is for Data Scientist, Machine Learning enthusiasts and professionals who wants to get started with GPU computation and perform the complex tasks with low-latency. Intermediate knowledge of Python programming is assumed.

Build and train scalable neural network models on various platforms by leveraging the power of Caffe2 Key Features * Migrate models trained with other deep learning frameworks on Caffe2 * Integrate Caffe2 with Android or iOS and implement deep learning models for mobile devices * Leverage the distributed capabilities of Caffe2 to build models that scale easily Book Description Caffe2 is a popular deep learning library used for fast and scalable training and inference of deep learning models on various platforms. This book introduces you to the Caffe2 framework and shows how you can leverage its power to build, train, and deploy efficient neural network models at scale. It will cover the topics of installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. It will also show how to import models from Caffe and from other frameworks using the ONNX interchange format. It covers the topic of deep learning accelerators such as CPU and GPU and shows how to deploy Caffe2 models for inference on accelerators using inference engines. Caffe2 is built for deployment to a diverse set of hardware, using containers on the cloud and resource constrained hardware such as Raspberry Pi, which will be demonstrated. By the end of this book, you will be able to not only compose and train popular neural network models with Caffe2, but also be able to deploy them on accelerators, to the cloud and on resource constrained platforms such as mobile and embedded hardware. What you will learn * Build and install Caffe2 * Compose neural networks * Train neural network on CPU or GPU * Import a neural network from Caffe * Import deep learning models from other frameworks * Deploy models on CPU or GPU accelerators using inference engines * Deploy models at the edge and in the cloud Who this book is for Data scientists and machine learning engineers who wish to create fast and scalable deep learning models in Caffe2 will find this book to be very useful. Some understanding of the basic machine learning concepts and prior exposure to programming languages like C++ and Python will be useful.

Learn end-to-end automation testing techniques for web and mobile browsers using Selenium WebDriver, AppiumDriver, Java, and TestNG Key Features * Explore the Selenium grid architecture and build your own grid for browser and mobile devices * Use ExtentReports for processing results and SauceLabs for cloud-based test services * Unlock the full potential of Selenium to test your web applications. Book Description Selenium WebDriver 3.x is an open source API for testing both browser and mobile applications. With the help of this book, you can build a solid foundation and can easily perform end-to-end testing on web and mobile browsers.You'll begin by being introduced to the Selenium Page Object Model for software development. You'll architect your own framework with a scalable driver class, Java utility classes, and support for third-party tools and plugins. You'll design and build a Selenium grid from scratch to enable the framework to scale and support different browsers, mobile devices, and platforms.You'll strategize and handle a rich web UI using the advanced WebDriver API and learn techniques to handle real-time challenges in WebDriver. You'll perform different types of testing, such as cross-browser testing, load testing, and mobile testing. Finally, you will also be introduced to data-driven testing, using TestNG to create your own automation framework.By the end of this Learning Path, you'll be able to design your own automation testing framework and perform data-driven testing with Selenium WebDriver. This Learning Path includes content from the following Packt products: * Selenium WebDriver 3 Practical Guide - Second Edition by Unmesh Gundecha * Selenium Framework Design in Data-Driven Testing by Carl Cocchiaro What you will learn * Use different mobile and desktop browser platforms with Selenium 3 * Use the Actions API for performing various keyboard and mouse actions * Design the Selenium Driver Class for local, remote, and third-party grid support * Build page object classes with the Selenium Page Object Model * Develop data-driven test classes using the TestNG framework * Encapsulate data using the JSON protocol * Build a Selenium Grid for RemoteWebDriver testing * Build and use utility classes in synchronization, file I/O, reporting and test listener classes Who this book is for This Learning Path is ideal for software quality assurance/testing professionals, software project managers, or software developers interested in using Selenium for testing their applications. Professionals responsible for designing and building enterprise-based testing frameworks will also find this Learning Path useful. Prior programming experience in Java are TestNG is necessary.

Gain hands-on experience with industry-standard data analysis and machine learning tools in Python Key Features * Learn techniques to use data to identify the exact problem to be solved * Visualize data using different graphs * Identify how to select an appropriate algorithm for data extraction Book Description Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The book will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data. As you delve into later chapters, you’ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. By the end of this book, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data. What you will learn * Install the required packages to set up a data science coding environment * Load data into a Jupyter Notebook running Python * Use Matplotlib to create data visualizations * Fit a model using scikit-learn * Use lasso and ridge regression to reduce overfitting * Fit and tune a random forest model and compare performance with logistic regression * Create visuals using the output of the Jupyter Notebook Who this book is for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful.

Push the limits of what C - and you - can do, with this high-intensity guide to the most advanced capabilities of C Key Features * Make the most of C’s low-level control, flexibility, and high performance * A comprehensive guide to C’s most powerful and challenging features * A thought-provoking guide packed with hands-on exercises and examples Book Description There’s a lot more to C than knowing the language syntax. The industry looks for developers with a rigorous, scientific understanding of the principles and practices. Extreme C will teach you to use C’s advanced low-level power to write effective, efficient systems. This intensive, practical guide will help you become an expert C programmer. Building on your existing C knowledge, you will master preprocessor directives, macros, conditional compilation, pointers, and much more. You will gain new insight into algorithm design, functions, and structures. You will discover how C helps you squeeze maximum performance out of critical, resource-constrained applications. C still plays a critical role in 21st-century programming, remaining the core language for precision engineering, aviations, space research, and more. This book shows how C works with Unix, how to implement OO principles in C, and fully covers multi-processing. In Extreme C, Amini encourages you to think, question, apply, and experiment for yourself. The book is essential for anybody who wants to take their C to the next level. What you will learn * Build advanced C knowledge on strong foundations, rooted in first principles * Understand memory structures and compilation pipeline and how they work, and how to make most out of them * Apply object-oriented design principles to your procedural C code * Write low-level code that’s close to the hardware and squeezes maximum performance out of a computer system * Master concurrency, multithreading, multi-processing, and integration with other languages * Unit Testing and debugging, build systems, and inter-process communication for C programming Who this book is for Extreme C is for C programmers who want to dig deep into the language and its capabilities. It will help you make the most of the low-level control C gives you.

Gain useful insights to help you efficiently build, test, and migrate customized solutions on Business Central cloud and on-premise platforms Key Features * Explore enhanced functionalities and development best practices in Business Central * Develop powerful Business Central projects using the AL language * Master the new Business Central with easy-to-follow recipes Book Description Microsoft Dynamics 365 Business Central is a complete business management solution that can help you streamline business processes, connect individual departments in your company, and enhance customer interactions. Ok. That first part was really professional sounding, right? Now, let’s get into what this cookbook is going to do for you: put simply, it’s going to help you get things done. This book will help you get to grips with the latest development features and tools for building applications using Business Central. You’ll find recipes that will guide you in developing and testing applications that can be deployed to the cloud or on-premises. For the old-schoolers out there, you’ll also learn how to take your existing Dynamics NAV customizations and move them to the new AL language platform. Also, if you haven’t figured it out already, we’re going to be using very normal language throughout the book to keep things light. After all, developing applications is fun, so why not have fun learning as well! What you will learn * Build and deploy Business Central applications * Use the cloud or local sandbox for application development * Customize and extend your base Business Central application * Create external applications that connect to Business Central * Create automated tests and debug your applications * Connect to external web services from Business Central Who this book is for This book is for Dynamics developers and administrators who want to become efficient in developing and deploying applications in Business Central. Basic knowledge and understanding of Dynamics application development and administration is assumed.