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.

Your quick, no-nonsense guide to building real-world apps with Angular 2About This Book·The first and best overview of Angular 2 on the market—this guide gathers together everything there is to know about Angular 2 and groups it into intuitive sections.·This book is your detailed map of every feature and its use cases.·The author has done all the hard work of fitting everything Angular 2 means for developers together for you, making this book the quickest way to learn Angular 2 from scratch.Who This Book Is ForThis book is targeted at web developers who want to build the next generation of state-of-the-art mobile and desktop web applications with Angular 2. This book does not require you to have prior exposure to either Angular 1.x or 2, although comprehensive knowledge of JavaScript is assumed. It's great for newcomers to Angular who learn best through clear explanations and definitions of concepts.What You Will Learn·Set up your working environment in order to have all the tools you need to start building Angular 2 components with minimum effort·Get up to speed with TypeScript, a powerful typed superset of JavaScript that compiles to plain JavaScript·Take full control of how your data is rendered and updated upon data changes·Build powerful web applications based on structured component hierarchies that emit and listen to events and data changes throughout the elements tree·Explore how to consume external APIs and data services and allow data editing by harnessing the power of web forms made with Angular 2·Deliver seamless web navigation experiences with application routing and state handling common features with ease·Discover how to bulletproof your applications by introducing smart unit testing techniques and debugging toolsIn DetailAngular 2 was conceived as a complete rewrite in order to fulfill the expectations of modern developers who demand blazing fast performance and responsiveness from their web applications.This book will help you learn the basics of how to design and build Angular 2 components right from the beginning, providing full coverage of the TypeScript syntax required to follow the examples included. From that point on, we will build upon our first components, interconnect them, and give shape to larger web applications. We will then move to implementing routing in Angular 2, analyzing how to handle application states, and navigating from one component to another in depth. After this, the book features full coverage of web forms and user input validation, later leveraging all of this information to go through the basics of implementing user authentication in Angular 2 and providing a bird's eye view of the different strategies at hand to secure pages and areas of your website. Animating components and DOM elements with Angular 2 is also covered in this book. The final part of this book provides broad insights into how to unit test components and other modules such as services, directives, routes or pipes.Style and approachThis book covers everything there is to know about getting well-acquainted with Angular without bogging you down. Everything is neatly laid out under clear headings for quick consultation, offering you the information required to understand a concept immediately, with short relevant examples of each feature.

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

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.

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?

“Bili?im Teknolojileri” konusunda yazd???m ü? kitaptan sonra as?l uzmanl?k alan?m olan veritabanlar? konusunda uzun y?llar ?nce yazmaya ba?lay?p bitiremedi?im daha do?rusu bas?lmayan bu kitab? güncelleyerek yeniden yazmaya karar vermek benim a??mdan yeni bir heyecan oldu. 1980’lerde COBOL ile ba?layan ve 1990’da dBase ve Informix’le devam eden veritaban? tecrübelerim, 1995 sonras? MS-Access ve SQL Server yard?m?yla geli?tirdi?im 100’e yak?n veritaban? uygulama programlar?yla devam etti. 1996’da Dallas’ta MCI Systemhouse’da FrontPage ve Access 95’le veritaban?na dayal? Intranet web siteleri geli?tiren ilk ki?ilerden birisi ben oldum. 1999’da Movo Mediya’da ilk ??p?atan web sitesi www.dating.com'un?arkas?ndaki SQL Server veritabanlar?n? tasarlayan ve y?neten ki?i de bendim. 2000 y?l?nda Aris Genesis Intermedia Inc’de web tabanl? muhasebe program?n?n arkas?ndaki SQL Server veritaban? tasar?mc?lar?ndan biriside bendim. Büyük al??veri? merkezlerinde g?rülen Kiosk’lar?n SQL Server tabanl? ilk uygulamas?n? Los Angeles’de kuran Genesis Intermedia Inc’deki tasar?mlar? yapan ki?ilerden birisi de bendim. 2001’de Los Angeles’de SQL Server ve ASP 3.0’la Citibank’ta kredi kartlar?yla ilgili projenin mimarlar?ndan biriside bendim. K?sacas? Veritabanlar?n?n Web’de kullan?lmas?nda ilk ?al??an ve tasarlayanlardan birisi oldu?umu s?ylemeliyim. 1995-2000 y?llar? aras?nda ya?anan ve dot com bom olarak bilinen metaforun i?inde bir fiil ?al??an ve yarat?c?lar?ndan birisiydim. Veritabanlar?n?n Internet’e ba?lanmas? i?in geli?tirilen ilk projelerinde uzun y?llar Kalifornya, New York ve Colorado firmalar?nda ?al??t?m ve dan??manl?k yapt?m. Bu tecrübelerim s?ras?nda ??rendi?im en ?nemli ?ey; tek bir konuda uzman olmak gerekti?idir. Ben Ms-Access ve SQL Server veritabanlar? tasar?m?nda uzmanla?t?m. Bir?ok teklif olmas?na ra?men Oracle, DB2, Aproach, File Maker gibi veritabanlar? tasar?mlar?yla ilgilenmedim ?ünkü her biri ayr? bir uzmanl?k isteyen veritaban? yaz?l?mlar?d?r. Bu a??dan ?zellikle Bili?im sekt?ründe ?al??anlara verebilece?im en ?nemli tavsiye tek bir konuda hatta tek bir programda uzmanla?malar?d?r. Kitapta Veritabanlar? tasar?m?n? Access ve SQL Server projeleri üzerinden anlatmaya ?al??t?m. University of Phoenix’de verdi?im Veritabanlar? ve Veri Ambarlar? ders notlar?m bu kitab?n omurgas?n? olu?turmaktad?r. Veritabanlar?yla ilgili kavramlar?, felsefesini, tasar?m?n? ve birazda y?netimini detaylar?yla anlatmaya ?al??t?m. Umut ediyorum ki yeni Veritaban? tasar?mc?lar? ve y?neticilerine burada payla?t???m enformasyon faydal? olur. 30 y?ll?k Bili?im Teknolojileri ve ?zellikle veritaban? alan?ndaki tecrübelerimin bir?o?unu bu kitapta okuyucularla payla?maya ?al??t?m. Daha ?nceki kitaplar?mda da vurgulad???m gibi bu kitapta da 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? Di?er kitaplarda oldu?u gibi bu kitab?n yaz?lmas?nda bana katlanan e?im Meliha ?oruh’a ve o?lum Bu?ra’ya da en ba?tan te?ekkür etmeliyim. 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 ediyorum. Elinizde tuttu?unuz bu kitap 30 y?ld?r Bili?im Teknolojileri alan?nda yapt???m ??retim, ?al??ma ve tecrübelerin veritabanlar? alan?nda kay?t alt?na al?nm?? bir ?zetidir. Tabii ki kitab?n hatalar? ve eksikleri vard?r ve bunlar tamamen bana aittir. Kitapta Veritabanlar? denince akla gelebilecek bir?ok konuya de?inmeye ?al??t?m. Kitapta teori ile uygulamay? birlikte harmanlamaya ?al??t?m. Bu yüzden bu kitab?n bir elkitab? veya kaynak kitap olarak dü?ünülmesinde fayda vard?r. ? Mustafa ?oruh Kdz. Ere?li, Mart 2017

☆★☆ 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 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.

From learning about the most sought-after design patterns to a comprehensive coverage of architectural patterns and code testing, this book is all you need to write clean, reusable code Key Features *Write clean, reusable and maintainable code, and make the most of the latest Swift version. *Analyze case studies of some of the popular open source projects and give your workflow a huge boost *Choose patterns such as MVP, MVC, and MVVM depending on the application being built Book Description Swift keeps gaining traction not only amongst Apple developers but also as a server-side language. This book demonstrates how to apply design patterns and best practices in real-life situations, whether that's for new or already existing projects. You’ll begin with a quick refresher on Swift, the compiler, the standard library, and the foundation, followed by the Cocoa design patterns – the ones at the core of many cocoa libraries – to follow up with the creational, structural, and behavioral patterns as defined by the GoF. You'll get acquainted with application architecture, as well as the most popular architectural design patterns, such as MVC and MVVM, and learn to use them in the context of Swift. In addition, you’ll walk through dependency injection and functional reactive programming. Special emphasis will be given to techniques to handle concurrency, including callbacks, futures and promises, and reactive programming. These techniques will help you adopt a test-driven approach to your workflow in order to use Swift Package Manager and integrate the framework into the original code base, along with Unit and UI testing. By the end of the book, you'll be able to build applications that are scalable, faster, and easier to maintain. What you will learn *Work efficiently with Foundation and Swift Standard library *Understand the most critical GoF patterns and use them efficiently *Use Swift 4.2 and its unique capabilities (and limitations) to implement and improve GoF patterns *Improve your application architecture and optimize for maintainability and performance *Write efficient and clean concurrent programs using futures and promises, or reactive programming techniques *Use Swift Package Manager to refactor your program into reusable components *Leverage testing and other techniques for writing robust code Who this book is for This book is for intermediate developers who want to apply design patterns with Swift to structure and scale their applications. You are expected to have basic knowledge of iOS and Swift.

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key Features *Clear and concise explanations *Gives important insights into deep learning models *Practical demonstration of key concepts Book Description PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text. By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease. What you will learn *Set up the deep learning environment using the PyTorch library *Learn to build a deep learning model for image classification *Use a convolutional neural network for transfer learning *Understand to use PyTorch for natural language processing *Use a recurrent neural network to classify text *Understand how to optimize PyTorch in multiprocessor and distributed environments *Train, optimize, and deploy your neural networks for maximum accuracy and performance *Learn to deploy production-ready models Who this book is for Developers and Data Scientist familiar with Machine Learning but new to deep learning, or existing practitioners of deep learning who would like to use PyTorch to train their deep learning models will find this book to be useful. Having knowledge of Python programming will be an added advantage, while previous exposure to PyTorch is not needed.

Understand, explore, and effectively present data using the powerful data visualization techniques of Python Key Features *Use the power of Pandas and Matplotlib to easily solve data mining issues *Understand the basics of statistics to build powerful predictive data models *Grasp data mining concepts with helpful use-cases and examples Book Description Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional. This Learning Path includes content from the following Packt products: *Statistics for Machine Learning by Pratap Dangeti *Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim *Pandas Cookbook by Theodore Petrou What you will learn *Understand the statistical fundamentals to build data models *Split data into independent groups *Apply aggregations and transformations to each group *Create impressive data visualizations *Prepare your data and design models *Clean up data to ease data analysis and visualization *Create insightful visualizations with Matplotlib and Seaborn *Customize the model to suit your own predictive goals Who this book is for If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.

Explore C# and the .NET Core framework to create applications and optimize them with ASP.NET Core 2 Key Features *Get to grips with multi-threaded, concurrent, and asynchronous programming in C# and .NET Core *Develop modern, cross-platform applications with .NET Core 2.0 and C# 7.0 *Create efficient web applications with ASP.NET Core 2. Book Description C# is a widely used programming language, thanks to its easy learning curve, versatility, and support for modern paradigms. The language is used to create desktop apps, background services, web apps, and mobile apps. .NET Core is open source and compatible with Mac OS and Linux. There is no limit to what you can achieve with C# and .NET Core. This Learning Path begins with the basics of C# and object-oriented programming (OOP) and explores features of C#, such as tuples, pattern matching, and out variables. You will understand.NET Standard 2.0 class libraries and ASP.NET Core 2.0, and create professional websites, services, and applications. You will become familiar with mobile app development using Xamarin.Forms and learn to develop high-performing applications by writing optimized code with various profiling techniques. By the end of C# 7 and .NET: Designing Modern Cross-platform Applications, you will have all the knowledge required to build modern, cross-platform apps using C# and .NET. This Learning Path includes content from the following Packt products: *C# 7.1 and .NET Core 2.0 - Modern Cross-Platform Development - Third Edition by Mark J. Price *C# 7 and .NET Core 2.0 High Performance by Ovais Mehboob Ahmed Khan What you will learn *Explore ASP.NET Core to create professional web applications *Master OOP with C# to increase code reusability and efficiency *Protect your data using encryption and hashing *Measure application performance using BenchmarkDotNet *Use design techniques to increase your application’s performance *Learn memory management techniques in .NET Core *Understand tools and techniques to monitor application performance Who this book is for This Learning Path is designed for developers who want to gain a solid foundation in C# and .NET Core, and want to build cross-platform applications. To gain maximum benefit from this Learning Path, you must have basic knowledge of C#.

Explore and understand data with the powerful data visualization techniques of Tableau, and then communicate insights in powerful ways Key Features *Apply best practices in data visualization and chart types exploration *Explore the latest version of Tableau Desktop with hands-on examples *Understand the fundamentals of Tableau storytelling Book Description Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You’ll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau. This Learning Path includes content from the following Packt products: *Learning Tableau 10 - Second Edition by N. Milligan *Getting Started with Tableau 2018.x by Tristan Guillevin What you will learn *Build effective visualizations, dashboards, and story points *Build basic to more advanced charts with step-by-step recipes *Become familiar row-level, aggregate, and table calculations *Dig deep into data with clustering and distribution models *Prepare and transform data for analysis *Leverage Tableau’s mapping capabilities to visualize data *Use data storytelling techniques to aid decision making strategy Who this book is for Tableau 10 Complete Reference is designed for anyone who wants to understand their data better and represent it in an effective manner. It is also used for BI professionals and data analysts who want to do better at their jobs.

Build powerful data analytics applications with this business intelligence tool and overcome all your business challenges Key Features *Master time-saving techniques and make your QlikView development more efficient *Perform geographical analysis and sentiment analysis in your QlikView applications *Explore advanced QlikView techniques, tips, and tricks to deliver complex business requirements Book Description QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations. Each chapter in this Learning Path starts with an understanding of a business requirement and its associated data model and then helps you create insightful analysis and data visualizations around it. You will look at problems that you might encounter while visualizing complex data insights using QlikView, and learn how to troubleshoot these and other not-so-common errors. This Learning Path contains real-world examples from a variety of business domains, such as sales, finance, marketing, and human resources. With all the knowledge that you gain from this Learning Path, you will have all the experience you need to implement your next QlikView project like a pro. This Learning Path includes content from the following Packt products: *QlikView for Developers by Miguel ?ngel García, Barry Harmsen *Mastering QlikView by Stephen Redmond *Mastering QlikView Data Visualization by Karl Pover What you will learn *Deliver common business requirements using advanced techniques *Load data from disparate sources to build associative data models *Understand when to apply more advanced data visualization *Utilize the built-in aggregation functions for complex calculations *Build a data architecture that supports scalable QlikView deployments *Troubleshoot common data visualization errors in QlikView *Protect your QlikView applications and data Who this book is for This Learning Path is designed for developers who want to go beyond their technical knowledge of QlikView and understand how to create analysis and data visualizations that solve real business needs. To grasp the concepts explained in this Learning Path, you should have a basic understanding of the common QlikView functions and some hands-on experience with the tool.

Step-by-step guide to build high performing predictive applications Key Features *Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects *Explore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanations *Learn to deploy a predictive model's results as an interactive application Book Description Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This book provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. The book's step-by-step approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and visualizing relationships, building models, tuning, evaluating, and deploying model. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seaborn, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. By the end of this book, you will be all set to build high-performance predictive analytics solutions using Python programming. What you will learn *Get to grips with the main concepts and principles of predictive analytics *Learn about the stages involved in producing complete predictive analytics solutions *Understand how to define a problem, propose a solution, and prepare a dataset *Use visualizations to explore relationships and gain insights into the dataset *Learn to build regression and classification models using scikit-learn *Use Keras to build powerful neural network models that produce accurate predictions *Learn to serve a model's predictions as a web application Who this book is for This book is for data analysts, data scientists, data engineers, and Python developers who want to learn about predictive modeling and would like to implement predictive analytics solutions using Python's data stack. People from other backgrounds who would like to enter this exciting field will greatly benefit from reading this book. All you need is to be proficient in Python programming and have a basic understanding of statistics and college-level algebra.

A comprehensive guide to Android forensics, from setting up the workstation to analyzing key artifacts Key Features *Get up and running with modern mobile forensic strategies and techniques *Analyze the most popular Android applications using free and open source forensic tools *Learn malware detection and analysis techniques to investigate mobile cybersecurity incidents Book Description Many forensic examiners rely on commercial, push-button tools to retrieve and analyze data, even though there is no tool that does either of these jobs perfectly. Learning Android Forensics will introduce you to the most up-to-date Android platform and its architecture, and provide a high-level overview of what Android forensics entails. You will understand how data is stored on Android devices and how to set up a digital forensic examination environment. As you make your way through the chapters, you will work through various physical and logical techniques to extract data from devices in order to obtain forensic evidence. You will also learn how to recover deleted data and forensically analyze application data with the help of various open source and commercial tools. In the concluding chapters, you will explore malware analysis so that you’ll be able to investigate cybersecurity incidents involving Android malware. By the end of this book, you will have a complete understanding of the Android forensic process, you will have explored open source and commercial forensic tools, and will have basic skills of Android malware identification and analysis. What you will learn *Understand Android OS and architecture *Set up a forensics environment for Android analysis *Perform logical and physical data extractions *Learn to recover deleted data *Explore how to analyze application data *Identify malware on Android devices *Analyze Android malware Who this book is for If you are a forensic analyst or an information security professional wanting to develop your knowledge of Android forensics, then this is the book for you. Some basic knowledge of the Android mobile platform is expected.

Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x Key Features *Experimental projects showcasing the implementation of high-performance deep learning models with Keras. * *Use-cases across reinforcement learning, natural language processing, GANs and computer vision. * *Build strong fundamentals of Keras in the area of deep learning and artificial intelligence. Book Description Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects that look at a range of real-world application areas. To begin with, you will quickly set up a deep learning environment by installing the Keras library. Through each of the projects, you will explore and learn the advanced concepts of deep learning and will learn how to compute and run your deep learning models using the advanced offerings of Keras. You will train fully-connected multilayer networks, convolutional neural networks, recurrent neural networks, autoencoders and generative adversarial networks using real-world training datasets. The projects you will undertake are all based on real-world scenarios of all complexity levels, covering topics such as language recognition, stock volatility, energy consumption prediction, faster object classification for self-driving vehicles, and more. By the end of this book, you will be well versed with deep learning and its implementation with Keras. You will have all the knowledge you need to train your own deep learning models to solve different kinds of problems. What you will learn *Apply regression methods to your data and understand how the regression algorithm works *Understand the basic concepts of classification methods and how to implement them in the Keras environment *Import and organize data for neural network classification analysis *Learn about the role of rectified linear units in the Keras network architecture *Implement a recurrent neural network to classify the sentiment of sentences from movie reviews *Set the embedding layer and the tensor sizes of a network Who this book is for If you are a data scientist, machine learning engineer, deep learning practitioner or an AI engineer who wants to build speedy intelligent applications with minimal lines of codes, then this book is the best fit for you. Sound knowledge of machine learning and basic familiarity with Keras library would be useful.

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease Key Features *Build smart mobile applications for Android and iOS devices *Use popular machine learning toolkits such as Core ML and TensorFlow Lite *Explore cloud services for machine learning that can be used in mobile apps Book Description Machine learning presents an entirely unique opportunity in software development. It allows smartphones to produce an enormous amount of useful data that can be mined, analyzed, and used to make predictions. This book will help you master machine learning for mobile devices with easy-to-follow, practical examples. You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains. By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices. What you will learn *Build intelligent machine learning models that run on Android and iOS *Use machine learning toolkits such as Core ML, TensorFlow Lite, and more *Learn how to use Google Mobile Vision in your mobile apps *Build a spam message detection system using Linear SVM *Using Core ML to implement a regression model for iOS devices *Build image classification systems using TensorFlow Lite and Core ML Who this book is for If you are a mobile app developer or a machine learning enthusiast keen to use machine learning to build smart mobile applications, this book is for you. Some experience with mobile application development is all you need to get started with this book. Prior experience with machine learning will be an added bonus

Learn the foundations of blockchain technology - its core concepts and algorithmic solutions across cryptography, peer-to-peer technology, and game theory. Key Features * Learn the core concepts and foundations of the blockchain and cryptocurrencies * Understand the protocols and algorithms behind decentralized applications * Master how to architect, build, and optimize blockchain applications Book Description Blockchain technology is a combination of three popular concepts: cryptography, peer-to-peer networking, and game theory. This book is for anyone who wants to dive into blockchain from first principles and learn how decentralized applications and cryptocurrencies really work. This book begins with an overview of blockchain technology, including key definitions, its purposes and characteristics, so you can assess the full potential of blockchain. All essential aspects of cryptography are then presented, as the backbone of blockchain. For readers who want to study the underlying algorithms of blockchain, you’ll see Python implementations throughout. You’ll then learn how blockchain architecture can create decentralized applications. You’ll see how blockchain achieves decentralization through peer-to-peer networking, and how a simple blockchain can be built in a P2P network. You’ll learn how these elements can implement a cryptocurrency such as Bitcoin, and the wider applications of blockchain work through smart contracts. Blockchain optimization techniques, and blockchain security strategies are then presented. To complete this foundation, we consider blockchain applications in the financial and non-financial sectors, and also analyze the future of blockchain. A study of blockchain use cases includes supply chains, payment systems, crowdfunding, and DAOs, which rounds out your foundation in blockchain technology. What you will learn * The core concepts and technical foundations of blockchain * The algorithmic principles and solutions that make up blockchain and cryptocurrencies * Blockchain cryptography explained in detail * How to realize blockchain projects with hands-on Python code * How to architect the blockchain and blockchain applications * Decentralized application development with MultiChain, NEO, and Ethereum * Optimizing and enhancing blockchain performance and security * Classical blockchain use cases and how to implement them Who this book is for This book is for anyone who wants to dive into blockchain technology from first principles and build a foundational knowledge of blockchain. Familiarity with Python will be helpful if you want to follow how the blockchain protocols are implemented. For readers who are blockchain application developers, most of the applications used in this book can be executed on any platform.

An effective guide to becoming an AWS Certified SysOps Administrator Key Features * Not only pass the certification with confidence but also enhance your skills to solving real-world scenarios. * A practical guide to getting you hands-on experience with application management, deployment, operation. * Enhance your AWS skills with practice questions and mock tests. Book Description AWS certifications are becoming one of the must have certifications for any IT professional working on an AWS Cloud platform. This book will act as your one stop preparation guide to validate your technical expertise in deployment, management, and operations on the AWS platform. Along with exam specific content this book will also deep dive into real world scenarios and hands-on instructions. This book will revolve around concepts like teaching you to deploy, manage, and operate scalable, highly available, and fault tolerant systems on AWS. You will also learn to migrate an existing on-premises application to AWS. You get hands-on experience in selecting the appropriate AWS service based on compute, data, or security requirements. This book will also get you well versed with estimating AWS usage costs and identifying operational cost control mechanisms. By the end of this book, you will be all prepared to implement and manage resources efficiently on the AWS cloud along with confidently passing the AWS Certified SysOps Administrator – Associate exam. What you will learn * Create and manage users, groups, and permissions using AWS IAM services * Create a secure VPC with public and private subnets, Network Access Control, and security groups * Get started with launching your first EC2 instance, and working with it * Handle application traffic with ELB and monitor AWS resources with CloudWatch * Work with S3, Glacier, and CloudFront * Work across distributed application components using SWF * Understand event-based processing with Lambda and messaging SQS and SNS in AWS * Get familiar with AWS deployment concepts and tools including Elastic Beanstalk, CloudFormation and AWS OpsWorks Who this book is for If you are a system administrator or a system engineer interested in leveraging the AWS platform to deploy applications then, this book is for you. IT professionals interested in passing the AWS Certified Sysops Administrator will also benefit from this book. Some basic understanding of working AWS components would do wonders.

Get to grips with the unified, highly scalable distributed storage system and learn how to design and implement it. Key Features * Explore Ceph's architecture in detail * Implement a Ceph cluster successfully and gain deep insights into its best practices * Leverage the advanced features of Ceph, including erasure coding, tiering, and BlueStore Book Description This Learning Path takes you through the basics of Ceph all the way to gaining in-depth understanding of its advanced features. You’ll gather skills to plan, deploy, and manage your Ceph cluster. After an introduction to the Ceph architecture and its core projects, you’ll be able to set up a Ceph cluster and learn how to monitor its health, improve its performance, and troubleshoot any issues. By following the step-by-step approach of this Learning Path, you’ll learn how Ceph integrates with OpenStack, Glance, Manila, Swift, and Cinder. With knowledge of federated architecture and CephFS, you’ll use Calamari and VSM to monitor the Ceph environment. In the upcoming chapters, you’ll study the key areas of Ceph, including BlueStore, erasure coding, and cache tiering. More specifically, you’ll discover what they can do for your storage system. In the concluding chapters, you will develop applications that use Librados and distributed computations with shared object classes, and see how Ceph and its supporting infrastructure can be optimized. By the end of this Learning Path, you'll have the practical knowledge of operating Ceph in a production environment. This Learning Path includes content from the following Packt products: * Ceph Cookbook by Michael Hackett, Vikhyat Umrao and Karan Singh * Mastering Ceph by Nick Fisk * Learning Ceph, Second Edition by Anthony D'Atri, Vaibhav Bhembre and Karan Singh What you will learn * Understand the benefits of using Ceph as a storage solution * Combine Ceph with OpenStack, Cinder, Glance, and Nova components * Set up a test cluster with Ansible and virtual machine with VirtualBox * Develop solutions with Librados and shared object classes * Configure BlueStore and see its interaction with other configurations * Tune, monitor, and recover storage systems effectively * Build an erasure-coded pool by selecting intelligent parameters Who this book is for If you are a developer, system administrator, storage professional, or cloud engineer who wants to understand how to deploy a Ceph cluster, this Learning Path is ideal for you. It will help you discover ways in which Ceph features can solve your data storage problems. Basic knowledge of storage systems and GNU/Linux will be beneficial.