Mastering Chef. Build, deploy, and manage your IT infrastructure to deliver a successful automated system with Chef in any environment

Mayank Joshi

API Analytics for Product Managers. Understand key API metrics that can help you grow your business

Deepa Goyal, Kin Lane

APIs are crucial in the modern market as they allow faster innovation. But have you ever considered your APIs as products for revenue generation?API Analytics for Product Managers takes you through the benefits of efficient researching, strategizing, marketing, and continuously measuring the effectiveness of your APIs to help grow both B2B and B2C SaaS companies. Once you've been introduced to the concept of an API as a product, this fast-paced guide will show you how to establish metrics for activation, retention, engagement, and usage of your API products, as well as metrics to measure the reach and effectiveness of documentation—an often-overlooked aspect of development.Of course, it's not all about the product—as any good product manager knows; you need to understand your customers’ needs, expectations, and satisfaction too. Once you've gathered your data, you’ll need to be able to derive actionable insights from it. This is where the audiobook covers the advanced concepts of leading and lagging metrics, removing bias from the metric-setting process, and bringing metrics together to establish long- and short-term goals.By the end of this audiobook, you'll be perfectly placed to apply product management methodologies to the building and scaling of revenue-generating APIs.

UiPath Associate Certification Guide. The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes

Niyaz Ahmed, Lahiru Fernando, Rajaneesh Balakrishnan

UiPath is the most popular vendor in the Robotic Process Automation (RPA) industry. If you're an RPA enthusiast or citizen developer who wants to succeed in the industry, achieving this certification can help you get accredited and ready for real-world challenges using UiPath.UiPath Associate Certification Guide offers complete, up-to-date coverage of the UiPath RPA Associate certification exam to help you pass on the first attempt and get certified. The book is written in a clear, succinct way with self-assessment questions, quizzes with answers at the end of each chapter, exam tips, and mock exams with detailed answers and explanations. You'll start by getting to grips with the basic concepts of UiPath RPA, and then progress to an in-depth discussion of all the concepts required for Associate certification. Finally, you'll develop UiPath skills by gaining the required knowledge and implement these skills using sample business cases.By the end of this UiPath book, you'll have covered everything you need to pass the exam, gained the knowledge you need to work on real-world case studies, and learned how to apply the various concepts to build enterprise-level use cases.

Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala

Arun Manivannan, Pascal Bugnion, Patrick R. Nicolas

Scala is especially good for analyzing large sets of data as the scale of the task doesn’t have any significant impact on performance. Scala’s powerful functional libraries can interact with databases and build scalable frameworks — resulting in the creation of robust data pipelines. The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. Using real world examples, you will learn how to design scalable architecture to process and model data — starting from simple concurrency constructs and progressing to actor systems and Apache Spark. After this, you will also learn how to build interactive visualizations with web frameworks.Once you have become familiar with all the tasks involved in data science, you will explore data analytics with Scala in the second module. You’ll see how Scala can be used to make sense of data through easy to follow recipes. You will learn about Bokeh bindings for exploratory data analysis and quintessential machine learning with algorithms with Spark ML library. You’ll get a sufficient understanding of Spark streaming, machine learning for streaming data, and Spark graphX. Armed with a firm understanding of data analysis, you will be ready to explore the most cutting-edge aspect of data science — machine learning. The final module teaches you the A to Z of machine learning with Scala. You’ll explore Scala for dependency injections and implicits, which are used to write machine learning algorithms. You’ll also explore machine learning topics such as clustering, dimentionality reduction, Naïve Bayes, Regression models, SVMs, neural networks, and more. This learning path combines some of the best that Packt has to offer into one complete, curated package. It includes content from the following Packt products:• Scala for Data Science, Pascal Bugnion• Scala Data Analysis Cookbook, Arun Manivannan • Scala for Machine Learning, Patrick R. Nicolas

Practical Data Analysis Cookbook. Over 60 practical recipes on data exploration and analysis

Tomasz Drabas

Data analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data. Its importance has been most visible in the sector of information and communication technologies. It is an employee asset in almost all economy sectors.This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more.First, you will learn some easy-to-follow practical techniques on how to read, write, clean, reformat, explore, and understand your data—arguably the most time-consuming (and the most important) tasks for any data scientist. In the second section, different independent recipes delve into intermediate topics such as classification, clustering, predicting, and more. With the help of these easy-to-follow recipes, you will also learn techniques that can easily be expanded to solve other real-life problems such as building recommendation engines or predictive models. In the third section, you will explore more advanced topics: from the field of graph theory through natural language processing, discrete choice modeling to simulations. You will also get to expand your knowledge on identifying fraud origin with the help of a graph, scrape Internet websites, and classify movies based on their reviews.By the end of this book, you will be able to efficiently use the vast array of tools that the Python environment has to offer.

Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations

Simon R. Chapple, Terence Sloan, Thorsten Forster, Eilidh Troup

R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources.Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. It will teach you a variety of parallelization techniques, from simple use of R’s built-in parallel package versions of lapply(), to high-level AWS cloud-based Hadoop and Apache Spark frameworks. It will also teach you low level scalable parallel programming using RMPI and pbdMPI for message passing, applicable to clusters and supercomputers, and how to exploit thousand-fold simple processor GPUs through ROpenCL. By the end of the book, you will understand the factors that influence parallel efficiency, including assessing code performance and implementing load balancing; pitfalls to avoid, including deadlock and numerical instability issues; how to structure your code and data for the most appropriate type of parallelism for your problem domain; and how to extract the maximum performance from your R code running on a variety of computer systems.

Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning

Benjamin Johnston, Ishita Mathur

Machine learning—the ability of a machine to give right answers based on input data—has revolutionized the way we do business. Applied Supervised Learning with Python provides a rich understanding of how you can apply machine learning techniques in your data science projects using Python. You'll explore Jupyter Notebooks, the technology used commonly in academic and commercial circles with in-line code running support.With the help of fun examples, you'll gain experience working on the Python machine learning toolkit—from performing basic data cleaning and processing to working with a range of regression and classification algorithms. Once you’ve grasped the basics, you'll learn how to build and train your own models using advanced techniques such as decision trees, ensemble modeling, validation, and error metrics. You'll also learn data visualization techniques using powerful Python libraries such as Matplotlib and Seaborn. This book also covers ensemble modeling and random forest classifiers along with other methods for combining results from multiple models, and concludes by delving into cross-validation to test your algorithm and check how well the model works on unseen data.By the end of this book, you'll be equipped to not only work with machine learning algorithms, but also be able to create some of your own!

Apache Roller 4.0 - Beginner's Guide. A comprehensive, step-by-step guide on how to set up, customize, and market your blog using Apache Roller

Alfonso V. Romero, Brian Fitzpatrick, Alfonso Vidal Romero

Apache Roller enables you to build a fully-featured, multi-user blog server apt for all kinds of blogging sites. It is an ideal tool to create your own blogging network with unlimited users and blogs, forums, photo galleries, and more! While it is exciting to have a list of interesting features it can offer you, it might be a little difficult to get started with it by your self.This book will teach you how to get started with Apache Roller and make the most of all its features using step-by-step, detailed instructions. You will learn how to establish your internet presence with an Apache Roller blog and use the latest web tools to enhance your posts and attract visitors. You will also learn how to promote your blog on popular social bookmarking services and customize it to suit your need.This hands-on and practical book introduces you to Apache Roller. Starting off with the configuration and installation of your own blog, you'll then quickly learn how to add interesting content to your blog with the help of plenty of examples. You'll also learn how to change your blog's visual appearance with the help of Roller themes and templates and how to create a community of blogs for you and your colleagues or friends in your Apache Roller blog server. The book also looks at ways you can manage your community, and keep your site safe and secure, ensuring that it is a spam-free, enjoyable community for your users.

Software Architecture with C# 9 and .NET 5. Architecting software solutions using microservices, DevOps, and design patterns for Azure - Second Edition

Gabriel Baptista, Francesco Abbruzzese

Software architecture is the practice of implementing structures and systems that streamline the software development process and improve the quality of an app. This fully revised and expanded second edition, featuring the latest features of .NET 5 and C# 9, enables you to acquire the key skills, knowledge, and best practices required to become an effective software architect.This second edition features additional explanation of the principles of Software architecture, including new chapters on Azure Service Fabric, Kubernetes, and Blazor. It also includes more discussion on security, microservices, and DevOps, including GitHub deployments for the software development cycle.You will begin by understanding how to transform user requirements into architectural needs and exploring the differences between functional and non-functional requirements. Next, you will explore how to carefully choose a cloud solution for your infrastructure, along with the factors that will help you manage your app in a cloud-based environment.Finally, you will discover software design patterns and various software approaches that will allow you to solve common problems faced during development.By the end of this book, you will be able to build and deliver highly scalable enterprise-ready apps that meet your organization’s business requirements.

Learn Ethereum. A practical guide to help developers set up and run decentralized applications with Ethereum 2.0 - Second Edition

Xun (Brian) Wu, Zhihong Zou, Dongying Song

Ethereum is a blockchain-based, decentralized computing platform that allows you to run smart contracts. With this book, you’ll discover the latest Ethereum tools, frameworks, wallets, and layer 2, along with setting up and running decentralized applications for the complete, end-to-end development experience.Learn Ethereum, 2nd Edition is a comprehensive overview of the Ethereum ecosystem, exploring its concepts, mechanisms, and decentralized application development process. You’ll delve into Ethereum's internals, technologies, and tools, including Ethereum 2.0 and the Ethereum Virtual Machine (EVM), gas, and its account systems. You’ll also explore Ethereum's transition to proof of stake, L1/L2 scaling solutions, DeFi protocols, and the current marketplace. Additionally, you’ll learn about EVM-compatible blockchains, connectivity techniques, and advanced topics such as sharding, off-chain scaling, DAOs, Metaverse, and NFTs.By the end of this book, you’ll be well-equipped to write smart contracts and develop, test, and deploy DApps using various tools, wallets, and frameworks.

Practical Data Science with Python. Learn tools and techniques from hands-on examples to extract insights from data

Nathan George

Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.The book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion.As you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages, including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments.By the end of the book, you should be able to comfortably use Python for basic data science projects and should have the skills to execute the data science process on any data source.

Instant Oracle GoldenGate. A concise and clear step-by-step guide to get you quickly started with Oracle GoldenGate

Tony Bruzzese

Oracle GoldenGate is a comprehensive package for low-impact, real-time data capture, distribution, and delivery of transactional data across heterogeneous systems for continuous availability, zero downtime migration, and disaster recovery. All in all, it is a precise tool for data replication, regardless of the platform that you use in today’s environment. Instant Oracle GoldenGate exemplifies the ease of use of this package through the use of real-world examples. This book gives a good overview and hands-on approach to the most commonly used implementations in an Oracle GoldenGate environment.This How-to book will take you through a number of real-world examples quickly and effectively by eliminating much of the guess work for all users from novices to experienced users.You will learn about the key components of the architecture and simple one-way replication for a number of database tables or an entire schema. You’ll be covering key concepts and the implementation of high availability configurations such as Oracle RAC, encryption, and many different ways to transform and filter data to your target systems.

Cracking the IT Architect Interview. The ultimate guide to successful interviews for Enterprise, Business, Domain, Solution, and Technical Architect roles as well as IT Advisory Consultant and Software Designer roles

Sameer Paradkar

An architect attends multiple interviews for jobs or projects during the course of his or her career. This book is an interview resource created for designers, consultants, technical, solution, domain, enterprise, and chief architects to help them perform well in interview discussions and launch a successful career. The book begins by providing descriptions of architecture skills and competencies that cover the 12 key domains, including 350+ questions relating to these domains. The goal of this book is to cover all the core architectural domains. From an architect’s perspective, it is impossible to revise or learn about all these key areas without a good reference guide – this book is the solution. It shares experiences, learning, insights, and proven methodologies that will benefit practitioners, SMEs, and aspirants in the long run. This book will help you tackle the NFR domain, which is a key aspect pertaining to architecting applications.It typically takes years to understand the core concepts, fundamentals, patterns, and principles related to architecture and designs. This book is a goldmine for the typical questions asked during an interview and will help prepare you for success!

Mastering Windows Server 2016. A comprehensive and practical guide to Windows Server 2016

Jordan Krause

Windows Server 2016 is the server operating system developed by Microsoft as part of the Windows NT family of operating systems, developed concurrently with Windows 10. With Windows Server 2016, Microsoft has gotten us thinking outside of the box for what it means to be a system administration, and comes with some interesting new capabilities. These are exciting times to be or to become a server administrator!This book covers all aspects of administration level tasks and activities required to gain expertise in Microsoft Windows Server 2016. You will begin by getting familiar and comfortable navigating around in the interface. Next, you will learn to install and manage Windows Server 2016 and discover some tips for adapting to the new server management ideology that is all about centralized monitoring and configuration.You will deep dive into core Microsoft infrastructure technologies that the majority of companies are going to run on Server 2016. Core technologies such as Active Directory, DNS, DHCP, Certificate Services, File Services, and more. We will talk about networking in this new operating system, giving you a networking toolset that is useful for everyday troubleshooting and maintenance. Also discussed is the idea of Software Defined Networking. You will later walk through different aspects of certificate administration in Windows Server 2016. Three important and crucial areas to cover in the Remote Access role -- DirectAccess, VPN, and the Web Application Proxy -- are also covered.You will then move into security functions and benefits that are available in Windows Server 2016. Also covered is the brand new and all-important Nano Server!We will incorporate PowerShell as a central platform for performing many of the functions that are discussed in this book, including a chapter dedicated to the new PowerShell 5.0. Additionally, you will learn about the new built-in integration for Docker with this latest release of Windows Server 2016. The book ends with a discussion and information on virtualizing your datacenter with Hyper-V.By the end of this book, you will have all the ammunition required to start planning for and implementing Windows Server 2016.

Animating SwiftUI Applications. Create visually stunning and engaging animations for iOS with SwiftUI

Stephen DeStefano, J.D. Gauchat

Swift and SwiftUI are the backbone of Apple application development, making them a crucial skill set to learn. Animating SwiftUI Applications focuses on the creation of stunning animations, making you proficient in this declarative language and employing a minimal code approach.In this book, you'll start by exploring the fundamentals of SwiftUI and animation, before jumping into various projects that will cement these skills in practice. You will explore some simple projects, like animating circles, creating color spectrums with hueRotation, animating individual parts of an image, as well as combining multiple views together to produce dynamic creations. The book will then transition into more advanced animation projects that employ the GeometryReader, which helps align your animations across different devices, as well as creating word and color games. Finally, you will learn how to integrate the SpriteKit framework into our SwiftUI code to create scenes with wind, fire, rain, and or snow scene, along with adding physics, gravity, collisions, and particle emitters to your animations.By the end of this book, you’ll have created a number of different animation projects, and will have gained a deep understanding of SwiftUI that can be used for your own creations.

Go Programming Blueprints. Build real-world, production-ready solutions in Go using cutting-edge technology and techniques

Mat Ryer