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Podcasty
Practical Data Analysis Cookbook. Over 60 practical recipes on data exploration and analysis
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.
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.
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!
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.
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.
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 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.
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.
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
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.
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.
Production of 3D art is an exciting medium, but the task of modeling requires intense attention to detail, so speed and efficiency are vital. This book breaks down speed modeling workflow in 3ds Max into stages you can easily achieve, with a focus on hard surface modeling and methods you can apply to your own designs.3ds Max Speed Modeling for 3D Artists will help level up your 3D modeling skills. It focuses on hard surface modeling, and shows the range of tools and techniques in 3ds Max 2013.This book shows content creation methods aimed at 3ds Max modelers preparing to show their skill to the industry. The key feature of modeling that artists must exhibit is speediness while preserving technical accuracy. The author helps you follow set project guidelines while pushing creativity and outlines the entire workflow from concept development to exporting a game-ready model.The book begins with introductions for new users to the interface and modeling tools, and progresses to topics aimed at users already familiar with 3ds Max, who want to improve their content creation process. You'll also see ways 3ds Max content is used with other applications, like sculpting software and game editors, and learn features of speed modeling, efficient workflow, re-use of content, and tips on getting more done, more quickly.By the end of this book you will have learned key topics in modeling, ready to face professional level work with elan.
Google Cardboard is a low-cost, entry-level media platform through which you can experience virtual reality and virtual 3D environments. Its applications are as broad and varied as mobile smartphone applications themselves. This book will educate you on the best practices and methodology needed to build effective, stable, and performant mobile VR applications.In this book, we begin by defining virtual reality (VR) and how Google Cardboard fits into the larger VR and Android ecosystem. We introduce the underlying scientific and technical principles behind VR, including geometry, optics, rendering, and mobile software architecture. We start with a simple example app that ensures your environment is properly set up to write, build, and run the app. Then we develop a reusable VR graphics engine that you can build upon. And from then on, each chapter is a self-contained project where you will build an example from a different genre of application, including a 360 degree photo viewer, an educational simulation of our solar system, a 3D model viewer, and a music visualizer.Given the recent updates that were rolled out at Google I/O 2016, the authors of Cardboard VR Projects for Android have collated some technical notes to help you execute the projects in this book with Google VR Cardboard Java SDK 0.8, released in May 2016. Refer to the article at https://www.packtpub.com/sites/default/files/downloads/GoogleVRUpdateGuideforCardbook.pdf which explains the updates to the source code of the projects.
Learn T-SQL Querying. A guide to developing efficient and elegant T-SQL code
Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language used with Microsoft SQL Server and Azure SQL Database. This book will be a usefu to learning the art of writing efficient T-SQL code in modern SQL Server versions as well as the Azure SQL Database.The book will get you started with query processing fundamentals to help you write powerful, performant T-SQL queries. You will then focus on query execution plans and leverage them for troubleshooting. In later chapters, you will explain how to identify various T-SQL patterns and anti-patterns. This will help you analyze execution plans to gain insights into current performance, and determine whether or not a query is scalable. You will also build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will work with the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, this will guide you through implementing various features, such as Extended Events, Query Store, and Query Tuning Assistant, using hands-on examples.By the end of the book, you will have developed the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use.
Azure Virtual Desktop is a cloud desktop virtualization platform that securely delivers virtual desktops and remote apps. Mastering Azure Virtual Desktop will guide you through designing, implementing, configuring, and maintaining an Azure Virtual Desktop environment effectively. This book can also be used as an exam preparation guide to help you sit the Microsoft AZ-140 exam.You’ll start with an introduction to the essentials of Azure Virtual Desktop. Next, you’ll get to grips with planning an Azure Virtual Desktop architecture before learning how to implement an Azure Virtual Desktop environment. Moving ahead, you’ll learn how to manage and control access as well as configure security controls on your Azure Virtual Desktop environment. As you progress, you’ll understand how to manage user environments and configure MSIX app attach and other Azure Virtual Desktop features to enhance the user experience. You’ll also learn about the Azure Active Directory (AD) join and getting started feature. Finally, you’ll discover how to monitor and maintain an Azure Virtual Desktop environment to help you support your users and diagnose issues when they occur.By the end of this Microsoft Azure book, you’ll have covered all the essential topics you need to know to design and manage Azure Virtual Desktop and prepare for the AZ-140 exam.