Verleger: 16
Mastering DART. Master the art of programming high-performance applications with Dart
Sergey Akopkokhyants
If you are an application developer who has experience with Dart and want to develop reusable and robust code in Dart, then this book is for you. You are expected to have a basic knowledge of core elements and applications.
Gergely Daróczi
Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualizationAbout This BookHandle your data with precision and care for optimal business intelligenceRestructure and transform your data to inform decision-makingPacked with practical advice and tips to help you get to grips with data miningWho This Book Is ForIf you are a data scientist or R developer who wants to explore and optimize your use of R’s advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic.What You Will LearnConnect to and load data from R’s range of powerful databasesSuccessfully fetch and parse structured and unstructured dataTransform and restructure your data with efficient R packagesDefine and build complex statistical models with glmDevelop and train machine learning algorithmsVisualize social networks and graph dataDeploy supervised and unsupervised classification algorithmsDiscover how to visualize spatial data with RIn DetailR is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage.Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods.Style and approachCovering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.
Megan Squire
Data mining is an integral part of the data science pipeline. It is the foundation of any successful data-driven strategy – without it, you'll never be able to uncover truly transformative insights. Since data is vital to just about every modern organization, it is worth taking the next step to unlock even greater value and more meaningful understanding.If you already know the fundamentals of data mining with Python, you are now ready to experiment with more interesting, advanced data analytics techniques using Python's easy-to-use interface and extensive range of libraries. In this book, you'll go deeper into many often overlooked areas of data mining, including association rule mining, entity matching, network mining, sentiment analysis, named entity recognition, text summarization, topic modeling, and anomaly detection. For each data mining technique, we'll review the state-of-the-art and current best practices before comparing a wide variety of strategies for solving each problem. We will then implement example solutions using real-world data from the domain of software engineering, and we will spend time learning how to understand and interpret the results we get.By the end of this book, you will have solid experience implementing some of the most interesting and relevant data mining techniques available today, and you will have achieved a greater fluency in the important field of Python data analytics.
David Parker
Microsoft Visio Professional is a data visualization application that is used by many different market sectors and many different departments to represent information visually, from network infrastructure to organization charts, from process diagrams to office layouts. Starting off with a brief introduction to Visio Professional 2016 and then moving on to data storage, linking data to shapes, and working with SQL Server to create a solid foundation. Then we’ll cover topics such as refreshing data, working with geographical data, working with various graphics, and diagrams, and more. Finally, you’ll find out how to deploy custom stencils, templates, and code.
Cesar Bravo
Every organization has its own data and digital assets that need to be protected against an ever-growing threat landscape that compromises the availability, integrity, and confidentiality of crucial data. Therefore, it is important to train professionals in the latest defensive security skills and tools to secure them. Mastering Defensive Security provides you with in-depth knowledge of the latest cybersecurity threats along with the best tools and techniques needed to keep your infrastructure secure.The book begins by establishing a strong foundation of cybersecurity concepts and advances to explore the latest security technologies such as Wireshark, Damn Vulnerable Web App (DVWA), Burp Suite, OpenVAS, and Nmap, hardware threats such as a weaponized Raspberry Pi, and hardening techniques for Unix, Windows, web applications, and cloud infrastructures. As you make progress through the chapters, you'll get to grips with several advanced techniques such as malware analysis, security automation, computer forensics, and vulnerability assessment, which will help you to leverage pentesting for security.By the end of this book, you'll have become familiar with creating your own defensive security tools using IoT devices and developed advanced defensive security skills.
Primož Gabrijelčič
Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for most operating systems, including Microsoft Windows, iOS, and now Linux with RAD Studio 10.2. If you know how to use the features of Delphi, you can easily create scalable applications in no time.This Learning Path begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. You'll brush up on tricks, techniques, and best practices to solve common design and architectural challenges. Then, you'll see how to leverage external libraries to write better-performing programs. You'll also learn about the eight most important patterns that'll enable you to develop and improve the interface between items and harmonize shared memories within threads. As you progress, you'll also delve into improving the performance of your code and mastering cross-platform RTL improvements.By the end of this Learning Path, you'll be able to address common design problems and feel confident while building scalable projects.This Learning Path includes content from the following Packt products:Delphi High Performance by Primož Gabrijel?i?Hands-On Design Patterns with Delphi by Primož Gabrijel?i?
Uroš Kastelic, József Zoltán Vadkerti
Mastering DevOps on Microsoft Power Platform is your guide to revolutionizing business-critical solution development. Written by two Microsoft Technology Specialists with extensive experience in enterprise-scale Power Platform implementations and DevOps practices, this book teaches you how to design, build, and secure efficient DevOps processes by adapting custom software development practices to the Power Platform toolset, dramatically reducing time, cost, and errors in app modernization and quality assurance.The book introduces application life cycle management (ALM) and DevOps-enabled architecture, design patterns, and CI/CD practices, showing you why companies adopt DevOps with Power Platform. You'll master environment and solution management using Dataverse, Git, the Power Platform CLI, Azure DevOps, and GitHub Copilot.Implementing the shift-left approach in DevSecOps using GitHub Advanced Security features, you’ll create a Power Platform tenant governed by controls, automated tests, and backlog management. You’ll also discover advanced concepts, such as fusion architecture, pro-dev extensibility, and AI-infused applications, along with tips to avoid common pitfalls.By the end of this book, you’ll be able to build CI/CD pipelines from development to production, enhancing the life cycle of your business solutions on Power Platform.
Mastering Distributed Tracing. Analyzing performance in microservices and complex systems
Yuri Shkuro
Mastering Distributed Tracing will equip you to operate and enhance your own tracing infrastructure. Through practical exercises and code examples, you will learn how end-to-end tracing can be used as a powerful application performance management and comprehension tool. The rise of Internet-scale companies, like Google and Amazon, ushered in a new era of distributed systems operating on thousands of nodes across multiple data centers. Microservices increased that complexity, often exponentially. It is harder to debug these systems, track down failures, detect bottlenecks, or even simply understand what is going on. Distributed tracing focuses on solving these problems for complex distributed systems. Today, tracing standards have developed and we have much faster systems, making instrumentation less intrusive and data more valuable.Yuri Shkuro, the creator of Jaeger, a popular open-source distributed tracing system, delivers end-to-end coverage of the field in Mastering Distributed Tracing. Review the history and theoretical foundations of tracing; solve the data gathering problem through code instrumentation, with open standards like OpenTracing, W3C Trace Context, and OpenCensus; and discuss the benefits and applications of a distributed tracing infrastructure for understanding, and profiling, complex systems.