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Mastering Linux Device Drivers Development: Write Custom Device Drivers To Support Computer Peripherals In Linux Operating Systems

by John Madieu

This book is for embedded developers, Linux system engineers, and system programmers who want to explore Linux kernel frameworks and subsystems. C programming skills and a basic understanding of driver development is necessary to get started with this book.

Hands-On GPU Computing with Python: Explore the capabilities of GPUs for solving high performance computational problems

by Avimanyu Bandyopadhyay

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda AccelerateKey FeaturesUnderstand effective synchronization strategies for faster processing using GPUsWrite parallel processing scripts with PyCuda and PyOpenCLLearn to use the CUDA libraries like CuDNN for deep learning on GPUsBook DescriptionGPUs are proving to be excellent general purpose-parallel computing solutions for high performance tasks such as deep learning and scientific computing.This book will be your guide to getting started with GPU computing. It will start with introducing GPU computing and explain the architecture and programming models for GPUs. You will learn, by example, how to perform GPU programming with Python, and you’ll look at using integrations such as PyCUDA, PyOpenCL, CuPy and Numba with Anaconda for various tasks such as machine learning and data mining. Going further, you will get to grips with GPU work flows, management, and deployment using modern containerization solutions. Toward the end of the book, you will get familiar with the principles of distributed computing for training machine learning models and enhancing efficiency and performance.By the end of this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly.What you will learnUtilize Python libraries and frameworks for GPU accelerationSet up a GPU-enabled programmable machine learning environment on your system with AnacondaDeploy your machine learning system on cloud containers with illustrated examplesExplore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm.Perform data mining tasks with machine learning models on GPUsExtend your knowledge of GPU computing in scientific applicationsWho this book is forData Scientist, Machine Learning enthusiasts and professionals who wants to get started with GPU computation and perform the complex tasks with low-latency. Intermediate knowledge of Python programming is assumed.

Hands-On Design Patterns with Delphi: Build applications using idiomatic, extensible, and concurrent design patterns in Delphi

by Primoz Gabrijelcic

This book is aimed at beginner to intermediate level Delphi developers who want to build scalable and robust applications. Basic knowledge of Delphi is required and all the advanced Delphi concepts are explained in the book.

CompTIA Linux+ Certification Guide: A comprehensive guide to achieving LX0-103 and LX0-104 certifications with mock exams

by Philip Inshanally

Master the concepts and techniques that will help you gain the LX0-103 and LX0-104 certifications on your first attempt Key FeaturesGet a clear understanding of how to achieve the Linux+ certificationExplore system architecture, shell scripts, data management, and Linux securityWork through practice and mock tests to pass both LX0-103 and LX0-104 examsBook DescriptionLinux+ certification demonstrates technical competency and provides a broad awareness of Linux operating systems. Professionals who have achieved the Linux+ certification exhibit all-important knowledge of installation, operation, administration, and troubleshooting services.The CompTIA Linux+ Certification Guide is an overview of the certification that gives you insights into the system architecture. You’ll understand how to install and uninstall Linux distributions, followed by working with various package managers. Once you’ve grasped all this, you’ll move on to manipulating files and processes at command-line interface (CLI) and creating, monitoring, killing, restarting, and modifying processes.As you progress, you’ll be equipped to work with display managers and learn how to create, modify, and remove user accounts and groups, as well as understand how to automate tasks. The last set of chapters helps you configure dates and set up local and remote system logging. In addition to this, you’ll explore different internet protocols, along with discovering network configuration, security administration, Shell scripting, and SQL management.By the end of this book, you’ll not only have got to grips with all the modules using practice questions and mock exams, but you’ll also be well prepared to pass the LX0-103 and LX0-104 certification exams.What you will learnUnderstand the Linux system architecture Install, upgrade, and manage Linux system packagesConfigure devices and maintain the Linux filesystemManage the Shell environment, write scripts, and manage dataSet user interfaces and desktops in the Linux operating systemAutomate system admin tasks and manage essential system servicesManage SQL server on Linux and log locally and remotely with rsyslogdAdminister network and local securityWho this book is forThe CompTIA Linux+ Certification Guide is for you if you want to gain the CompTIA Linux+ certificate. This guide is also for system administrators and rookie Linux professionals interested in enhancing their Linux and Shell scripting skills. No prior knowledge of Linux is needed, although some understanding of Shell scripting would be helpful.

WordPress Development Quick Start Guide: Build beautiful and dynamic websites for your domain from scratch

by Rakhitha Nimesh Ratnayake

Learn core WordPress concepts and components to create modern WordPress-based solutionsKey FeaturesLearn the foundations of WordPress development and its hook-based architectureChoose the right components for any development taskBuild flexible solutions that works with existing plugins and themesBook DescriptionWordPress is the most used CMS in the world and is the ideal way to share your knowledge with a large audience or build a profitable business. Getting started with WordPress development has often been a challenge for novice developers, and this book will help you find your way.This book explains the components used in WordPress development, when and where to use them, and why you should be using each component in specific scenarios. You begin by learning the basic development setup and coding standards of WordPress. Then you move into the most important aspects of the theme and plugin development process. Here you will also learn how themes and plugins fit into the website while learning about a range of techniques for extending themes and plugins.With the basics covered, we explore many of the APIs provided by WordPress and how we can leverage them to build rapid solutions. Next, we move on to look at the techniques for capturing, processing, and displaying user data when integrating third-party components into the site design.Finally, you will learn how to test and deploy your work with secure and maintainable code, while providing the best performance for end users.What you will learnExplore the role of themes, plugins, and built-in features in developmentAdapt to built-in modules and built-in database structuresWrite code for WordPress's hook-based architectureBuild, customize, and integrate WordPress pluginsExtend themes with custom design templatesCapture and process data with built-in features and custom formsImprove usability with AJAX and third-party componentsManage non-functional aspects, such as security, performance, and migrationWho this book is forThis book is for web developers and site owners who want to build custom websites with WordPress. Basic knowledge of PHP, JavaScript, HTML and CSS is required to get most out of this book.

Kotlin Quick Start Guide: Core features to get you ready for developing applications

by Marko Devcic

Get started with Kotlin programming for building real world applicationsKey FeaturesStart programming with KotlinExplore Kotlin language syntax, standard libraries and Java InteroperabilityBuilds an example application with what you learnBook DescriptionKotlin is a general purpose, object-oriented language that primarily targets the JVM and Android. Intended as a better alternative to Java, its main goals are high interoperability with Java and increased developer productivity. Kotlin is still a new language and this book will help you to learn the core Kotlin features and get you ready for developing applications with Kotlin.This book covers Kotlin features in detail and explains them with practical code examples.You will learn how to set up the environment and take your frst steps with Kotlin and its syntax. We will cover the basics of the language, including functions, variables, and basic data types. With the basics covered, the next chapters show how functions are first-class citizens in Kotlin and deal with the object-oriented side of Kotlin.You will move on to more advanced features of Kotlin. You will explore Kotlin's Standard Library and learn how to work with the Collections API. The book finishes by putting Kotlin in to practice, showing how to build a desktop app.By the end of this book, you will be confident enough to use Kotlin for your next project.What you will learnProgramming in Kotlin language syntax, basic types, control ?ow, classes, and OOPWriting functions and functional programming in KotlinDefning and importing from packages in KotlinRunning Kotlin on JVMs and Android runtimesWorking with the Kotlin Standard Library and advanced features of Kotlin programmingSetting up a Kotlin development environment with JetBrains toolsBuilding real-world applications with KotlinWho this book is forThis book is intended for anybody who wants to learn the most important Kotlin features. No experience of Kotlin is expected.

Network Scanning Cookbook: Practical network security using Nmap and Nessus 7

by Sairam Jetty

Discover network vulnerabilities and threats to design effective network security strategiesKey FeaturesPlunge into scanning techniques using the most popular toolsEffective vulnerability assessment techniques to safeguard network infrastructureExplore the Nmap Scripting Engine (NSE) and the features used for port and vulnerability scanningBook DescriptionNetwork scanning is a discipline of network security that identifies active hosts on networks and determining whether there are any vulnerabilities that could be exploited. Nessus and Nmap are among the top tools that enable you to scan your network for vulnerabilities and open ports, which can be used as back doors into a network.Network Scanning Cookbook contains recipes for configuring these tools in your infrastructure that get you started with scanning ports, services, and devices in your network. As you progress through the chapters, you will learn how to carry out various key scanning tasks, such as firewall detection, OS detection, and access management, and will look at problems related to vulnerability scanning and exploitation in the network. The book also contains recipes for assessing remote services and the security risks that they bring to a network infrastructure.By the end of the book, you will be familiar with industry-grade tools for network scanning, and techniques for vulnerability scanning and network protection.What you will learnInstall and configure Nmap and Nessus in your network infrastructurePerform host discovery to identify network devicesExplore best practices for vulnerability scanning and risk assessmentUnderstand network enumeration with Nessus and NmapCarry out configuration audit using Nessus for various platformsWrite custom Nessus and Nmap scripts on your ownWho this book is forIf you’re a network engineer or information security professional wanting to protect your networks and perform advanced scanning and remediation for your network infrastructure, this book is for you.

Apache Spark Quick Start Guide: Quickly learn the art of writing efficient big data applications with Apache Spark

by Shrey Mehrotra Akash Grade

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark. Key Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysis Get introduced to a variety of optimizations based on the actual experience Book Description Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases. It will also introduce you to Apache Spark – one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis. Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications. What you will learn Learn core concepts such as RDDs, DataFrames, transformations, and more Set up a Spark development environment Choose the right APIs for your applications Understand Spark's architecture and the execution flow of a Spark application Explore built-in modules for SQL, streaming, ML, and graph analysis Optimize your Spark job for better performance Who this book is for If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

by Stefan Jansen

Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.

Learning Python for Forensics - Second Edition: Leverage the power of Python in forensic investigations, 2nd Edition

by Preston Miller Chapin Bryce

If you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programming

Pentaho Data Integration Quick Start Guide: Create ETL processes using Pentaho

by María Carina Roldán

Get productive quickly with Pentaho Data IntegrationKey FeaturesTake away the pain of starting with a complex and powerful systemSimplify your data transformation and integration workExplore, transform, and validate your data with Pentaho Data IntegrationBook DescriptionPentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag and drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, initial attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution.This book reduces your learning curve with PDI. It provides the guidance needed to make you productive, covering the main features of Pentaho Data Integration. It demonstrates the interactive features of the graphical designer, and takes you through the main ETL capabilities that the tool offers.By the end of the book, you will be able to use PDI for extracting, transforming, and loading the types of data you encounter on a daily basis.What you will learnDesign, preview and run transformations in SpoonRun transformations using the Pan utilityUnderstand how to obtain data from different types of files Connect to a database and explore it using the database explorerUnderstand how to transform data in a variety of waysUnderstand how to insert data into database tablesDesign and run jobs for sequencing tasks and sending emailsCombine the execution of jobs and transformationsWho this book is forThis book is for software developers, business intelligence analysts, and others involved or interested in developing ETL solutions, or more generally, doing any kind of data manipulation.

Hands-On Application Development with PyCharm: Accelerate your Python applications using practical coding techniques in PyCharm

by Quan Nguyen

A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science Key Features Learn basic to advanced PyCharm concepts to improve efficiency of your Python projects Work through practical examples that focus on efficient application development with PyCharm Explore advanced features in PyCharm such as code automation, version control, and GUI debugging Book Description JetBrain's PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating. Hands-on Application Development with PyCharm starts with PyCharm's installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You'll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you'll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook. By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects. What you will learn Explore PyCharm functionalities and what makes it stand out from other Python IDEs Set up, configure, and customize your Python projects in PyCharm Understand how PyCharm integrates with Django for web development Discover PyCharm's capabilities in database management and data visualization Perform code automation, GUI testing, and version control in PyCharm Integrate interactive Python tools such as Jupyter Notebooks for building virtual environments Who this book is for If you're a beginner or an expert Python user looking to improve your productivity using one of the best Python IDEs, this book is for you. Basic knowledge of Python programming language is expected.

Data Center Virtualization Certification: Everything you need to achieve 2V0-622 certification – with exam tips and exercises

by Andrea Mauro Paolo Valsecchi

Deploy and configure vSphere infrastructure and learn to effectively create and administer vSphere virtual machinesKey FeaturesImplement advanced network virtualization techniquesConfigure and administer vSphere high availabilityEnhance your data center virtualization skills with practice questions and mock testsBook DescriptionThis exam guide enables you to install, configure, and manage the vSphere 6.5 infrastructure in all its components: vCenter Server, ESXi hosts, and virtual machines, while helping you to prepare for the industry standard certification.This data center book will assist you in automating administration tasks and enhancing your environment’s capabilities. You will begin with an introduction to all aspects related to security, networking, and storage in vSphere 6.5. Next, you will learn about resource management and understand how to back up and restore the vSphere 6.5 infrastructure. As you advance, you will also cover troubleshooting, deployment, availability, and virtual machine management. This is followed by two mock tests that will test your knowledge and challenge your understanding of all the topics included in the exam.By the end of this book, you will not only have learned about virtualization and its techniques, but you’ll also be prepared to pass the VCP6.5-DCV (2V0-622) exam.What you will learnDeploy and configure vSphere infrastructureCreate and administer vSphere virtual machinesOptimize, secure, and troubleshoot all vSphere componentsImplement vSphere HA on a vSAN clusterUnderstand how to back up and restore your vSphere 6.5 infrastructureTest your understanding of key concepts required through sample questionsWho this book is forIf you are interested in achieving Data Center Virtualization certification, this is the book is for you. You will also benefit from this book if you are a system administrator or network engineer. Some prior knowledge of virtualization can assist you in understanding key concepts covered in the book.

Drupal 8 Quick Start Guide: Get up and running with Drupal 8

by J. Ayen Green

Your step by step guide with easy to follow instructions for navigating Drupal 8Key FeaturesBuild a great Drupal website easilyHow to structure, create and maintain different types of contentDesign roles for secure editing of your siteBook DescriptionDrupal is a powerful content management platform, flexible enough to accommodate almost any content requirements. This flexibility comes with a cost: complexity. Drupal 8 Quick Start Guide will clear your path from installation to a building usable site in minutes, and to a customized site in one sitting.You will begin with installation of Drupal and going through the main sections of the Drupal UI. Then, you will create a content type that describes its content, which simplifies the act of creating and editing the actual content later. You will learn about user roles, using real-world examples. This will help you to learn how to design roles, and how to assign appropriate permissions to them. Next, you will learn to use the WYSIWYG editor, configure it for other roles, navigate the various fields on the content creation form, and publish content.To begin to appreciate the flexibility and expandability of Drupal, you will make use of popular content-focused modules that extend Drupal's power. You will learn how to expand your market to other readers directly and through other sites by configuring content and UI translations and creating a View that provides an RSS feed. Finally, you will put everything together by customizing the home page for your new website.What you will learnCreate and customize Drupal structures, such as menus, tags, and content categoriesExtend Drupal's capabilities with add-on modulesAdminister site users, their roles, and the actions to which they are granted accessUnderstand user roles and permissionsCreate, edit, and publish contentUse Views for custom content selection and displayExpand your audience with custom RSS feedsConfigure a home page with meaningful sections for a better UXWho this book is forThis book is for content administrators, developers, site builders and administrators who are new to Drupal 8.

Learn T-SQL Querying: A guide to developing efficient and elegant T-SQL code

by Pedro Lopes Pam Lahoud

Troubleshoot query performance issues, identify anti-patterns in code, and write efficient T-SQL queries Key Features Discover T-SQL functionalities and services that help you interact with relational databases Understand the roles, tasks and responsibilities of a T-SQL developer Explore solutions for carrying out database querying tasks, database administration, and troubleshooting Book Description Transact-SQL (T-SQL) is Microsoft's proprietary extension to the SQL language that is used with Microsoft SQL Server and Azure SQL Database. This book will be a useful guide 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 learn how to leverage them for troubleshooting. In the later chapters, you will learn 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 learn to build diagnostic queries using dynamic management views (DMVs) and dynamic management functions (DMFs) to address various challenges in T-SQL execution. Next, you will study how to leverage the built-in tools of SQL Server to shorten the time taken to address query performance and scalability issues. In the concluding chapters, the book 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 this book, you will have the skills to determine query performance bottlenecks, avoid pitfalls, and discover the anti-patterns in use. Foreword by Conor Cunningham, Partner Architect – SQL Server and Azure SQL – Microsoft What you will learn Use Query Store to understand and easily change query performance Recognize and eliminate bottlenecks that lead to slow performance Deploy quick fixes and long-term solutions to improve query performance Implement best practices to minimize performance risk using T-SQL Achieve optimal performance by ensuring careful query and index design Use the latest performance optimization features in SQL Server 2017 and SQL Server 2019 Protect query performance during upgrades to newer versions of SQL Server Who this book is for This book is for database administrators, database developers, data analysts, data scientists, and T-SQL practitioners who want to get started with writing T-SQL code and troubleshooting query performance issues, through the help of practical examples. Previous knowledge of T-SQL querying is not required to get started on this book.

Beginning Server-Side Application Development with Angular: Discover how to rapidly prototype SEO-friendly web applications with Angular Universal

by Bram Borggreve

<P>Discover how to rapidly prototype SEO-friendly web applications with Angular Universal <P>Key Features <br>Rapidly build an application that's optimized for search performance <br>Develop service workers to make your application truly progressive <P>Automatically update metadata and load in content from external APIs <P>Equip yourself with the skills required to create modern, progressive web applications that load quickly and efficiently. This fast-paced guide to server-side Angular leads you through an example application that uses Angular Universal to render application pages on the server, rather than the client. <P><P>You'll learn how to serve your users views that load instantly, while reaping all the SEO benefits of improved page indexing. With differences of just 200 milliseconds in performance having a measurable impact on your users, it's more important than ever to get server-side right. <P>What you will learn <br>Use the official tools provided by Angular to build an SEO-friendly application <br>Create a dynamic web application that maps to current Angular best practices <br>Manage your Angular applications with Angular CLI <br>Implement server-side rendering for your future web application projects <br>Configure service workers to automatically update your application in the background <P>Who this book is for <br>This book is ideal for experienced front-end developers who are looking to quickly work through an intelligent example that demonstrates all the key features of server-side development with Angular. You'll need some prior exposure to Angular, as we skim over the basics and get straight to work.

Mastering pandas: A complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition

by Ashish Kumar

Perform advanced data manipulation tasks using pandas and become an expert data analyst. Key Features Manipulate and analyze your data expertly using the power of pandas Work with missing data and time series data and become a true pandas expert Includes expert tips and techniques on making your data analysis tasks easier Book Description pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful data manipulation techniques in pandas to perform complex data analysis in various domains. An update to our highly successful previous edition with new features, examples, updated code, and more, this book is an in-depth guide to get the most out of pandas for data analysis. Designed for both intermediate users as well as seasoned practitioners, you will learn advanced data manipulation techniques, such as multi-indexing, modifying data structures, and sampling your data, which allow for powerful analysis and help you gain accurate insights from it. With the help of this book, you will apply pandas to different domains, such as Bayesian statistics, predictive analytics, and time series analysis using an example-based approach. And not just that; you will also learn how to prepare powerful, interactive business reports in pandas using the Jupyter notebook. By the end of this book, you will learn how to perform efficient data analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learn Speed up your data analysis by importing data into pandas Keep relevant data points by selecting subsets of your data Create a high-quality dataset by cleaning data and fixing missing values Compute actionable analytics with grouping and aggregation in pandas Master time series data analysis in pandas Make powerful reports in pandas using Jupyter notebooks Who this book is for This book is for data scientists, analysts and Python developers who wish to explore advanced data analysis and scientific computing techniques using pandas. Some fundamental understanding of Python programming and familiarity with the basic data analysis concepts is all you need to get started with this book.

PostgreSQL 11 Server Side Programming Quick Start Guide: Effective database programming and interaction

by Luca Ferrari

Extend PostgreSQL using PostgreSQL server programming to create, test, debug, and optimize a range of user-defined functions in your favorite programming languageKey FeaturesLearn the concepts of PostgreSQL 11 with lots of real-world datasets and examplesLearn queries, data replication, and database performanceExtend the functionalities of your PostgreSQL instance to suit your organizational needsBook DescriptionPostgreSQL is a rock-solid, scalable, and safe enterprise-level relational database. With a broad range of features and stability, it is ever increasing in popularity.This book shows you how to take advantage of PostgreSQL 11 features for server-side programming. Server-side programming enables strong data encapsulation and coherence.The book begins with the importance of server-side programming and explains the risks of leaving all the checks outside the database. To build your capabilities further, you will learn how to write stored procedures, both functions and the new PostgreSQL 11 procedures, and create triggers to perform encapsulation and maintain data consistency.You will also learn how to produce extensions, the easiest way to package your programs for easy and solid deployment on different PostgreSQL installations.What you will learnExplore data encapsulationWrite stored procedures in different languagesInteract with transactions from within a functionGet to grips with triggers and rulesCreate and manage custom data typesCreate extensions to package code and dataImplement background workers and Inter-Process Communication (IPC)How to deal with foreign languages, in particular Java and PerlWho this book is forThis book is for database administrators, data engineers, and database engineers who want to implement advanced functionalities and master complex administrative tasks with PostgreSQL 11.

Hands-On Motion Graphics with Adobe After Effects CC: Develop your skills as a visual effects and motion graphics artist

by David Dodds

Discover techniques to enhance your videos with complex animationKey FeaturesDesign, animate, and sequence a complete motion graphics projectWork with compositions and pre-compositions to create animations speedilyMaximize your motion graphics and visual effects skillsBook DescriptionIf you’re thinking seriously about making and publishing your videos with professional editing and animation, look no further! Adobe After Effects is a popular tool among video editors and YouTubers to enhance their videos and bring them to life by implementing visual effects and motion graphics.This book will take you right from the basics through to the advanced techniques in Adobe After Effects CC 2018. You will start by setting up your editing environment to learn and improve techniques to sharpen your video editing skills. Furthermore, you will work with basic and advanced special effects to create, modify, and optimize motion graphics in your videos. Lastly, you will not only learn how to create 2.5D animations, but also get to grips with using Cinema 4D Lite to build and animate complete 3D scenes.By the end of the book, you’ll have learned how to package a video efficiently with the help of the projects covered.What you will learnCreate a lower third project for a TV show with complex layersWork with shape layer animation to create an animated lyrics videoExplore different tools to animate charactersApply text animation to create a dynamic film-opening titleUse professional visual effects to create a VFX projectModel, light, and composite your 3D project in After EffectsWho this book is forIf you’re a student, professional, YouTuber, or anyone who is interested in video editing, animation, and motion graphics, this book is for you. You’ll also find this resource useful if you’re an Illustrator looking to put your creations in motion.

Server Side development with Node.js and Koa.js Quick Start Guide: Build robust and scalable web applications with modern JavaScript techniques

by Olayinka Omole

Build real-world robust web applications and APIs using the modern and expressive Koa Node.js framework.Key FeaturesGet up and running with Koa.js and leverage its power with node.jsGet the most out of Koa Async functions and generatorsCreate real time dynamic serverside apps efficiently with Koa.js Book DescriptionEvery developer wants to build modular and scalable web applications. Modern versions of JavaScript have made this possible in Node.js, and Koa is a Node.js framework that makes it easy. This book is the ideal introduction for JavaScript developers who want to create scalable server side applications using Node.js and Koa.js.The book shows you how Koa can be used to start projects from scratch, register custom and existing middleware, read requests, and send responses to users. We will explore the core concepts in Koa, such as error handling, logging, and request and response handling. We will dive into new concepts in JavaScript development, and see how paradigms such as async/await help with modern Node.js application development.By the end of this book, you will be building robust web applications in Koa using modern development paradigms and techniques of Node.js development.What you will learnCreate a simple server in Node.js and KoaWork with custom middleware in KoaHandle errors in KoaCreate routes, handle requests, and send responses from APIsBuild views and use templates in KoaAuthenticate your application and structure it properly in KoaWho this book is forThis book is for serverside developers and JavaScript developers who want to use Koa.js and Node.js to create fast and real time back end applications.

Swift Protocol-Oriented Programming: Increase productivity and build faster applications with Swift 5, 4th Edition

by Jon Hoffman

Embrace the Protocol-Oriented Programming paradigm, for better code maintainability and increased performance, with Swift programming. Key Features Leverage the power of Protocol-Oriented Programming in your applications Leverage generics to create very flexible frameworks Learn how to implement common design patterns in a protocol-oriented way Book Description Protocol-oriented programming is an incredibly powerful concept at the heart of Swift's design. Swift's standard library was developed using POP techniques, generics, and first-class value semantics; therefore, it is important for every Swift developer to understand these core concepts and take advantage of them. The fourth edition of this book is improved and updated to the latest version of the Swift programming language. This book will help you understand what protocol-oriented programming is all about and how it is different from other programming paradigms such as object-oriented programming. This book covers topics such as generics, Copy-On-Write, extensions, and of course protocols. It also demonstrates how to use protocol-oriented programming techniques via real-world use cases. By the end of this book, you will know how to use protocol-oriented programming techniques to build powerful and practical applications. What you will learn Learn the differences between object-oriented programming and protocol-oriented programming Understand why value types should be prioritized over reference types Delve into protocols, protocol inheritance, protocol composition, and protocol extensions Learn how to implement COW (Copy-On-Write) within your custom value types Understand how memory management works in Swift and how to avoid common pitfalls Design applications by starting with the protocol rather than the implementation Who this book is for This book is intended for Swift developers who have, at minimum an introductory knowledge of the Swift programming language and would like to understand how they can use Protocol-Oriented Programming techniques in their applications.

Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs

by Bhaumik Vaidya

Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPUKey FeaturesExplore examples to leverage the GPU processing power with OpenCV and CUDAEnhance the performance of algorithms on embedded hardware platformsDiscover C++ and Python libraries for GPU accelerationBook DescriptionComputer vision has been revolutionizing a wide range of industries, and OpenCV is the most widely chosen tool for computer vision with its ability to work in multiple programming languages. Nowadays, in computer vision, there is a need to process large images in real time, which is difficult to handle for OpenCV on its own. This is where CUDA comes into the picture, allowing OpenCV to leverage powerful NVDIA GPUs. This book provides a detailed overview of integrating OpenCV with CUDA for practical applications. To start with, you’ll understand GPU programming with CUDA, an essential aspect for computer vision developers who have never worked with GPUs. You’ll then move on to exploring OpenCV acceleration with GPUs and CUDA by walking through some practical examples.Once you have got to grips with the core concepts, you’ll familiarize yourself with deploying OpenCV applications on NVIDIA Jetson TX1, which is popular for computer vision and deep learning applications. The last chapters of the book explain PyCUDA, a Python library that leverages the power of CUDA and GPUs for accelerations and can be used by computer vision developers who use OpenCV with Python.By the end of this book, you’ll have enhanced computer vision applications with the help of this book's hands-on approach.What you will learnUnderstand how to access GPU device properties and capabilities from CUDA programsLearn how to accelerate searching and sorting algorithmsDetect shapes such as lines and circles in imagesExplore object tracking and detection with algorithmsProcess videos using different video analysis techniques in Jetson TX1Access GPU device properties from the PyCUDA programUnderstand how kernel execution worksWho this book is forThis book is a go-to guide for you if you are a developer working with OpenCV and want to learn how to process more complex image data by exploiting GPU processing. A thorough understanding of computer vision concepts and programming languages such as C++ or Python is expected.

pytest Quick Start Guide: Write better Python code with simple and maintainable tests

by Bruno Oliveira

Learn the pytest way to write simple tests which can also be used to write complex testsKey FeaturesBecome proficient with pytest from day one by solving real-world testing problemsUse pytest to write tests more efficientlyScale from simple to complex and functional testingBook DescriptionPython's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python.In this book, you will learn how to get started right away and get the most out of pytest in your daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.What you will learnWrite and run simple and complex testsOrganize tests in fles and directoriesFind out how to be more productive on the command lineMarkers and how to skip, xfail and parametrize testsExplore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatchConvert unittest suites to pytest using little-known techniquesUse third-party pluginsWho this book is forThis book is for Python programmers that want to learn more about testing. This book is also for QA testers, and those who already benefit from programming with tests daily but want to improve their existing testing tools.

Creative Projects for Rust Programmers: Build exciting projects on domains such as web apps, WebAssembly, games, and parsing

by Carlo Milanesi

A practical guide to understanding the latest features of the Rust programming language, useful libraries, and frameworks that will help you design and develop interesting projects Key Features Work through projects that will help you build high-performance applications with Rust Delve into concepts such as error handling, memory management, concurrency, generics, and macros with Rust Improve business productivity by choosing the right libraries and frameworks for your applications Book Description Rust is a community-built language that solves pain points present in many other languages, thus improving performance and safety. In this book, you will explore the latest features of Rust by building robust applications across different domains and platforms. The book gets you up and running with high-quality open source libraries and frameworks available in the Rust ecosystem that can help you to develop efficient applications with Rust. You'll learn how to build projects in domains such as data access, RESTful web services, web applications, 2D games for web and desktop, interpreters and compilers, emulators, and Linux Kernel modules. For each of these application types, you'll use frameworks such as Actix, Tera, Yew, Quicksilver, ggez, and nom. This book will not only help you to build on your knowledge of Rust but also help you to choose an appropriate framework for building your project. By the end of this Rust book, you will have learned how to build fast and safe applications with Rust and have the real-world experience you need to advance in your career. What you will learn Access TOML, JSON, and XML files and SQLite, PostgreSQL, and Redis databases Develop a RESTful web service using JSON payloads Create a web application using HTML templates and JavaScript and a frontend web application or web game using WebAssembly Build desktop 2D games Develop an interpreter and a compiler for a programming language Create a machine language emulator Extend the Linux Kernel with loadable modules Who this book is for This Rust programming book is for developers who want to get hands-on experience with implementing their knowledge of Rust programming, and are looking for expert advice on which libraries and frameworks they can adopt to develop software that typically uses the Rust language.

Apache Ignite Quick Start Guide: Distributed data caching and processing made easy

by Sujoy Acharya

Build efficient, high-performance & scalable systems to process large volumes of data with Apache IgniteKey FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook DescriptionApache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity.The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data.You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite.By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture.What you will learnUse Apache Ignite’s data grid and implement web session clusteringGain high performance and linear scalability with in-memory distributed data processingCreate a microservice on top of Apache Ignite that can scale and performPerform ACID-compliant CRUD operations on an Ignite cacheRetrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text queryExplore complex event processing concepts and event streamingIntegrate your Ignite app with the Spring frameworkWho this book is forThe book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary.

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