Bücher veröffentlicht von Packt Publishing Limited

This is a project-based guide to teach you what Blockchain is, how it maintains data integrity, and how to create real-world Blockchain projects using Ethereum. With interesting real-world projects, you will know about bitcoin, generating smart and secure contracts with Ethereum, building end-to-end applications for Blockchain.

PowerShell Core for Linux Administrators Cookbook will take you through a complete tour of understanding .NET Core, PowerShell in general, PowerShell on Linux for management and automation. This book will also cover advanced concepts on how to use PowerShell and manage Docker containers, Cloud, VMware and SQL databases.

This book will help you to comprehensively understand the various facets and factors involved in progressing your career in Site Reliability Engineering (SRE). Enterprise and cloud IT teams and software engineers will learn to adopt the SRE concepts and culture in a simplified and streamlined fashion.

Bug Bounty hunting is a new method which companies use to test their applications. There is no dedicated methodology in place right now to help researchers upskill themselves and become bug bounty hunters, that is why there is ambiguity as to what the field is about, the book solves that problem. The book allows readers to train themselves as ...

Machine learning is the field of Artificial Intelligence where we build systems that learn from data. Given the growing prominence of R-a cross-platform, zero-cost statistical programming environment-there has never been a better time to start applying machine learning to your data. This book will teach you advanced techniques in machine learnin...

Organisations today are harnessing the power of AWS cloud products and solutions to scale and grow. Amazon web services provide a cloud computing infrastructure with storage, bandwidth, security and more over the internet. This book will begin with AWS fundamentals and will go further to help you build and administer your own cloud environment.

Oracle BI suite delivers a full range of analytics and reporting capabilities, coupled with a powerful user experience for creating reports, dashboards, and intelligent analysis. It will have you unleash that power on your data in no time, help you to take action, and make the right decisions with the right information, all at a glance. This boo...

Walmart's OneOps is an open source DevOps platform that is used for cloud and application lifecycle management. It can manage critical and complex application workload on any multi cloud-based infrastructure and revolutionizes the way administrators, developers, and engineers develop and launch new products.

Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient codeAbout This Book* This book provides complete coverage of reactive and functional data structures* Based on the latest version of Java 9, this book illustrates the impact of new features on data structures* Gain exposure to important concepts such as Big-O Notation and Dynamic ProgrammingWho This Book Is ForThis book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What You Will Learn* Understand the fundamentals of algorithms, data structures, and measurement of complexity* Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists* Get a grasp on the basics of abstract data types-stack, queue, and double ended queue* See how to use recursive functions and immutability while understanding and in terms of recursion* Handle reactive programming and its related data structures* Use binary search, sorting, and efficient sorting-quicksort and merge sort* Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees* Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists* Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much moreIn DetailJava 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we'll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will get the also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!Style and approachThis book will teach you about all the major algorithms in a step-by-step manner. Special notes on the Big-O Notation and its impact on algorithms will give you fresh insights.

Born from it predecessor, Kali Linux 2.0 is the most popular Linux distribution designed for security professionals who build defensive strategies around their systems with an offensive mindset. This book aims at introducing you to the most common and not -so- common pre-installed penetration testing tools and create custom complex images in the...

Quantum computing may change everything we know about computing. Dancing with Qubits is a quantum computing textbook that explains how quantum computing works in detail, and discusses the implications it has for computer applications of the future.

This book will help you discover the power of the ESP8266 chip by building a variety of IoT projects. Starting with building a simple LED, you'll learn how to control your devices remotely from anywhere in the world and advance to interacting with web services and exchanging data with the help of a Wi-Fi chip.

Utilize R to uncover hidden patterns in your Big DataKey Features Perform computational analyses on Big Data to generate meaningful results Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketBook DescriptionBig Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.What you will learn Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platformWho this book is forThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.