Explore the blockchain-based decentralized platform and understand how Ethereum works with Dapps examples Key Features * Explore the Ethereum ecosystem and understand the latest research on the platform * Build decentralized apps (Dapps) using smart contracts and Ethereum with the help of practical examples * Learn to make your decentralized applications fast and highly secure Book Description Ethereum is a blockchain-based, decentralized computing platform that allows running smart contracts. This book provides a basic overview of how Ethereum works, its ecosystem, mining process, and the consensus mechanism. It also demonstrates a step-by-step approach for building decentralized applications. This book begins with the very basics of Blockchain technology. Then it dives deep into the Ethereum architecture, framework and tools in its ecosystem. It also provides you an overview of ongoing research on Ethereum, for example, Layer 1 and 2 scaling solution, Stablecoin, ICO/STO/IEO, etc. Next, it explains Solidity language in detail, and provides step-by-step instructions for designing, developing, testing, deploying, and monitoring decentralized applications. In addition, you’ll learn how to use Truffle, Remix, Infura, Metamask, and many other Ethereum technologies. It’ll also help you develop your own cryptocurrency by creating ERC20, and ERC721 smart contracts from scratch. Finally, we explain private blockchains, and you learn how to interact with smart contracts through wallets. What you will learn * Understand the concepts of blockchain and cryptocurrency * Master Ethereum development tools such as Truffle, Remix IDE and Infura * Delve into smart contract development * Develop DApps frontend using Node.js, React.js, and Web3js API * Learn Etherscan and other tools to secure and monitor smart contracts * Develop and debug smart contracts by working with Remix * Apply Truffle suite to compile, migrate, and unit test smart contracts * Explore smart contracts such as ERC20 token and decentralized digital market Who this book is for This book is for all developers and architects who want to explore Ethereum blockchain fundamentals and get started with building real-world decentralized applications. Knowledge of an object-oriented programming language such as JavaScript will be useful but not mandatory.

Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn Key Features * Exploit the power of Python to explore the world of data mining and data analytics * Discover machine learning algorithms to solve complex challenges faced by data scientists today * Use Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects Book Description The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML. Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You’ll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way. With the help of this extended and updated edition, you’ll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more. By the end of the book, you’ll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities. What you will learn * Understand the important concepts in machine learning and data science * Use Python to explore the world of data mining and analytics * Scale up model training using varied data complexities with Apache Spark * Delve deep into text and NLP using Python libraries such NLTK and gensim * Select and build an ML model and evaluate and optimize its performance * Implement ML algorithms from scratch in Python, TensorFlow, and scikit-learn Who this book is for If you’re a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial although not necessary.

A fast paced guide for JavaScript developers for writing safe, fast, and reusable code by leveraging ResaonML's strong static type system Key Features *Reduce code errors with the power of type systems *Employ static typechecking and genericity to promote code reuse and consistency *Understand functional programming which is the foundation of type-driven development Book Description Type-driven development is an approach that uses a static type system to achieve results including safety and efficiency. Types are used to express relationships and other assumptions directly in the code, and these assumptions are enforced by the compiler before the code is run. Learn Type-Driven Development covers how to use these type systems to check the logical consistency of your code. This book begins with the basic idea behind type-driven development. You’ll learn about values (or terms) and how they contrast with types. As you progress through the chapters, you’ll cover how to combine types and values inside modules and build structured types out of simpler ones. You’ll then understand how to express choices or alternatives directly in the type system using variants, polymorphic variants, and generalized algebraic data types. You’ll also get to grips with sum types, build sophisticated data types from generics, and explore functions that express change in the types of values. In the concluding chapters, you’ll cover advanced techniques for code reuse, such as parametric polymorphism and subtyping. By end of this book, you will have learned how to iterate through a type-driven process of solving coding problems using static types, together with dynamic behavior, to obtain more safety and speed. What you will learn *Use static types to capture information, making programs safer and faster *Learn ReasonML from experienced type-driven developers *Enhance safety by simply using basic types *Understand the most important type-driven concepts with simple examples *Explore a design space using static typing and find the best way to express your system rules *Use static types and dynamic runtime in harmony to write even safer and faster code Who this book is for If you’re a programmer working with dynamically typed languages and are looking for ways to mitigate production runtime errors, Learn Type-Driven Development is for you. You’ll also find this book helpful if you’re a programmer working with statically typed languages looking for increased safety and improved performance.

Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key Features * Build state-of-the-art algorithms that can solve your business' problems * Learn how to find hidden patterns in your data * Revise key concepts with hands-on exercises using real-world datasets Book Description Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. This book begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you'll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how to work with, edit, and improve R code. To help you gain a practical understanding, the book also features useful tips on applying these methods to real business problems, including market segmentation and fraud detection. By working through interesting activities, you'll explore data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods, such as outlier detection, Mahalanobis distances, and contextual and collective anomaly detection. What you will learn * Implement clustering methods such as k-means, agglomerative, and divisive * Write code in R to analyze market segmentation and consumer behavior * Estimate distribution and probabilities of different outcomes * Implement dimension reduction using principal component analysis * Apply anomaly detection methods to identify fraud * Design algorithms with R and learn how to edit or improve code Who this book is for Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including exponents, square roots, means, and medians.

Master shell basics and Unix tools and discover easy commands to perform complex tasks with speed Key Features *Learn why the Bash shell is widely used on Linux and iOS *Explore advanced shell concepts, such as pipes and redirection *Understand how to use Unix command-line tools as building blocks for different tasks Book Description The most basic interface to a computer—the command line—remains the most flexible and powerful way of processing data and performing and automating various day-to-day tasks. Command Line Fundamentals begins by exploring the basics, and then focuses on the most common tool, the Bash shell (which is standard on all Linux and iOS systems). As you make your way through the book, you'll explore the traditional Unix command-line programs as implemented by the GNU project. You'll also learn to use redirection and pipelines to assemble these programs to solve complex problems. By the end of this book, you'll have explored the basics of shell scripting, allowing you to easily and quickly automate tasks. What you will learn *Use the Bash shell to run commands *Utilize basic Unix utilities such as cat, tr, sort, and uniq *Explore shell wildcards to manage groups of files *Apply useful keyboard shortcuts in shell *Employ redirection and pipes to process data *Write both basic and advanced shell scripts to automate tasks Who this book is for Command Line Fundamentals is for programmers who use GUIs but want to understand how to use the command line to complete tasks faster.

Learn how to use RxClojure to deal with stateful computations Key Features * Leverage the features of Functional Reactive Programming using Clojure * Create dataflow-based systems that are the building blocks of Reactive Programming * Use different Functional Reactive Programming frameworks, techniques, and patterns to solve real-world problems Book Description Reactive Programming is central to many concurrent systems, and can help make the process of developing highly concurrent, event-driven, and asynchronous applications simpler and less error-prone. This book will allow you to explore Reactive Programming in Clojure 1.9 and help you get to grips with some of its new features such as transducers, reader conditionals, additional string functions, direct linking, and socket servers. Hands-On Reactive Programming with Clojure starts by introducing you to Functional Reactive Programming (FRP) and its formulations, as well as showing you how it inspired Compositional Event Systems (CES). It then guides you in understanding Reactive Programming as well as learning how to develop your ability to work with time-varying values thanks to examples of reactive applications implemented in different frameworks. You'll also gain insight into some interesting Reactive design patterns such as the simple component, circuit breaker, request-response, and multiple-master replication. Finally, the book introduces microservices-based architecture in Clojure and closes with examples of unit testing frameworks. By the end of the book, you will have gained all the knowledge you need to create applications using different Reactive Programming approaches. What you will learn * Understand how to think in terms of time-varying values and event streams * Create, compose, and transform observable sequences using Reactive extensions * Build a CES framework from scratch using core.async as its foundation * Develop a simple ClojureScript game using Reagi * Integrate Om and RxJS in a web application * Implement a reactive API in Amazon Web Services (AWS) * Discover helpful approaches to backpressure and error handling * Get to grips with futures and their applications Who this book is for If you’re interested in using Reactive Programming to build asynchronous and concurrent applications, this is the book for you. Basic knowledge of Clojure programming is necessary to understand the concepts covered in this book.

If you are an experienced Python developer and wish to get up-to-speed with geospatial programming, then this book is for you. While familiarity with installing third-party Python libraries would be an advantage, no prior knowledge of geospatial programming is required.

This book is packed with real world examples that cover concepts and usability of the core modules of a complex application. If you are Project manager or consultant looking forward to using and implementing Oracle Primavera Contract Management in your organization, then this is the best guide for you. No prior knowledge of PCM required.

This is a hands-on book to quickly get you up to speed with SQL Server 2012. It covers all the new features of the core database engine as well as the business intelligence (BI) services.The book begins by taking you step-by-step through the installation process, showing you what to install and which services and features you need. Once you have your SQL Server in place, you learn how to administer it and then explore new T-SQL functions to expand your query-writing toolkit. You will discover how the enhancements to Integration Services, Analysis Services and Reporting Services make developing BI solutions easier. It will then introduce you to SQL Server Data Tools, your new and improved development environment for creating database and BI projects.A hands-on example guides you through the steps required to run Distributed Replay, giving you the experience you need to apply this in the field. The book then takes you through a detailed example to show you how to create a Data Quality Services project and cleanse real-world data. Easy to follow code samples provide you with the queries you need to set up Availability Groups using the new AlwaysOn technology.Once you are comfortable with these new features you will be ready to migrate your data to the cloud and into SQL Azure. An exploration of Hadoop will help you understand big data and how it really is the next big thing,This concise reference is for database administrators, SQL Server Developers and BI professionals. Anyone who is familiar with SQL Server 2008 R2 and needs to make the jump to the latest version with the shortest learning curve will find this book useful.

If you are an IT professional with a basic knowledge of Microsoft Azure and want to learn Azure Storage services, then this book is for you.

This book is for web developers willing to build better web applications. A basic knowledge of PHP, XML, JavaScript and MySQL, or a strong will to learn-as-you-type, is assumed.

The book is uniquely practical. A richly textured case study is used throughout the book. Although some aspects of the Airport Passenger Services business process are simplified for sake of clarity and efficiency, it provides a comprehensive practical grounding for theoretical UML knowledge. The case study itself was developed in partnership with employees of Zurich Airport. The book was written for business analysts, technical architects and developers. It does not require detailed programming knowledge, nor is prior experience of UML mandatory. It shows how, with UML, simple models of business processes and specification models can be created and read with little effort.

This practical tutorial-based book is filled with information about the architecture, functionality, and extensions of Microsoft Windows Server 2012 Dynamic Access Control.If you are an IT consultant/architect, system engineer, system administrator, or security engineers planning to implement Dynamic Access Control in your organization, or have already implemented it and want to discover more about the abilities and how to use them effectively, this book will be an essential resource. You should have some understanding of security solutions, Active Directory, Access Privileges/ Rights and Authentication methods, and a fundamental understanding of Microsoft technologies. Programming knowledge is not required but can be helpful for using PowerShell or the APIs to customize your solution.

An in-depth tutorial that teaches you the basics of data-driven applications, and how to design and implement them using Ext JS.If you are an intermediate in Sencha Ext JS, "Ext JS Data-Driven Application Design" is the tutorial for you. You need to be familiar with JavaScript and have basic operational knowledge of MySQL. If you want to be able to systematically construct an application from the first step to implementation, this book will be useful for you.

This is a step-by-step tutorial that covers the basics of working with the MicroStrategy platform.If you are a BI developer who would like to use MicroStrategy to build BI apps, this book is ideal for you. This book is also for mid-management executives who need to analyze data and Excel files that are too complicated to manage. A basic concept of BI is assumed.

A practical guide, packed with illustrations, that will help you become proficient with Hudson and able to utilize it how you want.If you are a Java developer or administrator who would to like automate some of the mundane work required to build and test software and improve software quality, this is the book for you. If you are a development manager or tester, you can also benefit from learning how Hudson works by gaining some insight into test results and historical trends.

This book is full of step-by-step example-oriented tutorials which will show readers how to integrate Solr in PHP applications using the available libraries, and boost the inherent search facilities that Solr offers.If you are a developer who knows PHP and is interested in integrating search into your applications, this is the book for you. No advanced knowledge of Solr is required. Very basic knowledge of system commands and the command-line interface on both Linux and Windows is required. You should also be familiar with the concept of Web servers.

A step-by-step tutorial-based guide aimed at giving you hands-on practical experience to develop AR applications for Android.Augmented Reality for Android Application Development is for Android mobile application developers who are familiar with Android Development Tools and deployment, JMonkeyEngine, and the Vuforia SDK.

This practical and easy-to-understand learning tutorial is one big exciting exercise for students and engineers that are always short on their schedules and want to regain some lost time with the help of Simulink.This book is aimed at students and engineers who need a quick start with Simulink. Though it's not required in order to understand how Simulink works, knowledge of physics will help the reader to understand the exercises described.

KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the market leader in data processing tools, KNIME. No knowledge of KNIME is required, but we will assume that you have some background in data processing.

If you are a Splunk user and want to enter the wonderful world of Splunk application development, then this book is for you. Some experience with Splunk, writing searches, and designing basic dashboards is expected.