Git. Rozproszony system kontroli wersji

Włodzimierz Gajda

Git - oszczędź sobie kłopotów z synchronizacją projektu! Praca nad niemal każdym projektem informatycznym wymaga współdziałania wielu osób, często pracujących z dala od siebie. W takich warunkach bardzo łatwo popełnić błąd, nadpisać jakiś ważny plik albo przypadkowo zdublować dane. Mały projekt po takiej wpadce da się jeszcze uratować, ale większy… można wyrzucić do kosza. Chyba że od momentu jego inicjalizacji używamy narzędzia odpowiedzialnego za właściwą synchronizację danych, czyli systemu kontroli wersji, co jest standardem we współczesnej informatyce. Jednym z takich programów jest git, napisany na potrzeby zarządzania kodem źródłowym jądra systemu Linux - taka rekomendacja mówi sama za siebie. Możliwości programu git i sposoby jego praktycznego zastosowania w różnych projektach przedstawione zostały w tej książce. Znajdziesz tu podstawowe informacje o instalacji środowiska i tworzeniu repozytoriów, pracy z plikami, identyfikowaniu rewizji i zmienianiu historii projektu. Dowiesz się, kiedy i jak tworzyć czy łączyć gałęzie oraz całe repozytoria, korzystać z repozytorium lokalnego i zdalnego, a także synchronizować je w odpowiedni sposób. Poznasz możliwe konflikty między wersjami pliku i nauczysz się radzić sobie z nimi. Zrozumiesz, jak wykorzystywać najbardziej znane serwery hostingowe dla projektów git oraz dostępne w nich, wbudowane systemy śledzenia błędów. I wreszcie przestaniesz miewać koszmary, w których tracisz tygodnie na odszukanie zagubionego pliku. Git zrobi to za Ciebie! Instalacja programu git, tworzenie repozytoriów i obszar roboczy Tworzenie rewizji i przywracanie stanu plików Stany plików, ignorowanie plików i znaczniki Identyfikowanie rewizji, skróty komend Modyfikowanie historii projektu oraz tworzenie i usuwanie gałęzi Łączenie gałęzi: operacja merge i operacja rebase Powiązanie repozytorium lokalnego i zdalnego oraz podstawy synchronizacji repozytoriów Praktyczne wykorzystanie git i łączenie oddzielnych repozytoriów Treść pliku: konflikty, badanie różnic, pliki tekstowe i binarne Serwisy github.com i bitbucket.org Praca grupowa w serwisach github.com oraz bitbucket.org i zintegrowany system śledzenia błędów Wypróbuj git - wystarczająco dobry nawet dla jądra Linuksa!

GitHub. Przyjazny przewodnik

Brent Beer, Peter Bell

Poznaj możliwości Gita i GitHuba! Git zrewolucjonizował świat systemów kontroli wersji. Koncepcja rozproszonego systemu podbiła serca programistów i ustanowiła trendy na kolejna lata. Co powstało z połączenia Gita i serwisu udostępniającego miejsce oraz narzędzia dla programistów korzystających z Gita? To GitHub — najpopularniejsze miejsce w sieci, w którym znajdziesz tysiące projektów. GitHub wytycza dziś ścieżki dla platform ułatwiających pracę z rozproszonymi systemami kontroli wersji. Ta książka została w całości poświęcona właśnie GitHubowi. Sięgnij po nią i przekonaj się, jakie usługi oferuje ten serwis oraz jak wykorzystać jego potencjał w Twoim projekcie. W trakcie lektury dowiesz się, jak przeglądać udostępniony kod, współpracować przy projektach oraz dostarczać poprawki. Ponadto nauczysz się zarządzać zgłoszonymi przez użytkowników problemami w Twoim kodzie oraz opanujesz najlepsze praktyki konfigurowania Twojego repozytorium. Na sam koniec poznasz narzędzia przeznaczone dla systemów MacOS i Windows, a służące do współpracy z serwisem GitHub. Książka ta jest obowiązkową lekturą dla wszystkich czytelników chcących w pełni wykorzystać potencjał drzemiący w tym serwisie. Dowiedz się jak i dlaczego ludzie używają GitHuba do współpracy. Przeglądaj bieżący stan projektu — najnowsze zmiany, prace do wykonania i historię poprawek. Twórz i edytuj pliki w GitHubie bez znajomości systemu Git. Sugeruj zmiany w projektach, w których nie masz uprawnień do bezpośredniego wprowadzania poprawek. Używaj narzędzi do obsługi problemów i zgłoszeń, twórz gałęzie w celu definiowania nowych funkcji i wspólnej pracy nad zmianami. Twórz nowe repozytoria GitHuba, z uwzględnieniem praw dostępu do swojego projektu Zaawansowany system kontroli wersji dla każdego!

GitLab Quick Start Guide. Migrate to GitLab for all your repository management solutions

Adam O'Grady

Gitlab is an open source repository management and version control toolkit with an enterprise offering. This book is the ideal guide to GitLab as a version control system (VCS), issue management tool, and a continuous integration platform.The book starts with an introduction to GitLab, a walkthrough of its features, and explores concepts such as version control systems, continuous integration, and continuous deployment. It then takes you through the process of downloading and installing a local copy of the on-premise version of GitLab in Ubuntu and/or CentOS.You will look at some common work?ows associated with GitLab work?ow and learn about project management in GitLab. You will see tools and techniques for migrating your code base from various version control systems such as GitHub and SVN to GitLab.By the end of the book, you will be using Gitlab for repository management, and be able to migrate projects from other VCSs to GitLab.

Go Cookbook. Build modular, readable, and testable applications in Go

Aaron Torres

Go (a.k.a. Golang) is a statically-typed programming language first developed at Google. It is derived from C with additional features such as garbage collection, type safety, dynamic-typing capabilities, additional built-in types, and a large standard library.This book takes off where basic tutorials on the language leave off. You can immediately put into practice some of the more advanced concepts and libraries offered by the language while avoiding some of the common mistakes for new Go developers. The book covers basic type and error handling. It explores applications that interact with users, such as websites, command-line tools, or via the file system. It demonstrates how to handle advanced topics such as parallelism, distributed systems, and performance tuning. Lastly, it finishes with reactive and serverless programming in Go.

Go Design Patterns. Best practices in software development and CSP

Mario Castro Contreras

Go is a multi-paradigm programming language that has built-in facilities to create concurrent applications. Design patterns allow developers to efficiently address common problems faced during developing applications. Go Design Patterns will provide readers with a reference point to software design patterns and CSP concurrency design patterns to help them build applications in a more idiomatic, robust, and convenient way in Go. The book starts with a brief introduction to Go programming essentials and quickly moves on to explain the idea behind the creation of design patterns and how they appeared in the 90’s as a common language between developers to solve common tasks in object-oriented programming languages. You will then learn how to apply the 23 Gang of Four (GoF) design patterns in Go and also learn about CSP concurrency patterns, the killer feature in Go that has helped Google develop software to maintain thousands of servers. With all of this the book will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software.

Go. Rusz głową!

Jay McGavren

Język Go, zwany także golangiem, został opracowany w firmie Google i zaprezentowany światu w 2009 roku. Zaprojektowano go pod kątem wydajności przetwarzania sieciowego i wieloprocesorowego. Autorzy chcieli, aby łączył łatwość pisania aplikacji z wydajnością języków kompilowanych. Podobnie jak JavaScript czy Python, Go jest językiem, który można szybko zrozumieć, a dzięki temu bezzwłocznie zacząć tworzyć funkcjonalny kod. Niemniej, aby zyskać uznanie potencjalnego pracodawcy i swojego nowego zespołu, poza wiedzą o składni i instrukcjach sterujących oraz praktyczną umiejętnością kodowania trzeba poznać określone konwencje i techniki. Ta książka, podobnie jak inne pozycje serii Rusz głową!, została przygotowana zgodnie z najnowszymi odkryciami nauk poznawczych, teorii uczenia się i neurofizjologii. Oznacza to tyle, że dzięki niej będziesz się uczyć zgodnie z zasadami pracy swojego mózgu: zaangażujesz umysł, wykorzystasz wiele zmysłów i niepostrzeżenie przyswoisz język programowania Go. Innymi słowy: w naturalny sposób zaczniesz programować! Niecodzienny wygląd i struktura książki sprawiają, że zamiast klasycznego podręcznika otrzymujesz polisensoryczne doświadczenie poznawcze, zaprojektowane tak, aby uzyskać umiejętności przydatne każdemu deweloperowi! Nawet jeśli musisz posługiwać się innymi językami programowania, dzięki tej pozycji nauczysz się technik i praktyk, które będziesz stale wykorzystywać podczas kodowania! W tej książce między innymi: solidne podstawy tworzenia kodu, który będzie przejrzysty i łatwy w utrzymaniu metody, funkcje, pakiety... testowanie kodu i obsługa błędów dynamiczne aplikacje internetowe szablony HTML Go: rusz głową i programuj!

Go Standard Library Cookbook. Over 120 specific ways to make full use of the standard library components in Golang

Radomír Sohlich

Google's Golang will be the next talk of the town, with amazing features and a powerful library. This book will gear you up for using golang by taking you through recipes that will teach you how to leverage the standard library to implement a particular solution. This will enable Go developers to take advantage of using a rock-solid standard library instead of third-party frameworks. The book begins by exploring the functionalities available for interaction between the environment and the operating system. We will explore common string operations, date/time manipulations, and numerical problems. We'll then move on to working with the database, accessing the filesystem, and performing I/O operations. From a networking perspective, we will touch on client and server-side solutions. The basics of concurrency are also covered, before we wrap up with a few tips and tricks. By the end of the book, you will have a good overview of the features of the Golang standard library and what you can achieve with them. Ultimately, you will be proficient in implementing solutions with powerful standard libraries.

Google Cloud Platform Administration. Design highly available, scalable, and secure cloud solutions on GCP

Ranjit Singh Thakurratan

On-premise data centers are costly to manage. If you need a data center but don’t want to deal with a physical one, Google Cloud Platform (GCP) is the solution. With GCP, you can build, test, and deploy applications on Google’s infrastructure. Google Cloud Platform Administration begins with GCP fundamentals, with the help of which you will deploy your first app and gain an understanding of Google Cloud architecture and services. Furthermore, you will learn how to manage Compute, networking, and storage resources. As you make your way through the book, you will learn how to track and manage GCP’s usage, monitoring, and billing access control. You will also be able to manage your GCP's access and permissions. In the concluding chapters, you will explore a list of different developer tools for managing and interacting with the GCP platform. By the end of this book, you will have learned how to effectively deploy workloads on GCP.

Google Cloud Platform for Developers. Build highly scalable cloud solutions with the power of Google Cloud Platform

Ted Hunter, Steven Porter

Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications.With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems.By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications.

Hands-On Cloud Development with WildFly. Develop, deploy, and configure cloud-based, enterprise Java applications with WildFly Swarm and OpenShift

Tomasz Adamski

The book starts by introducing you to WildFly Swarm—a tool that allows you to create runnable microservices from Java EE components. You’ll learn the basics of Swarm operation—creating microservices containing only the parts of enterprise runtime needed in a specific case. Later, you’ll learn how to configure and test those services.In order to deploy our services in the cloud, we’ll use OpenShift. You’ll get to know basic information on its architecture, features, and relationship to Docker and Kubernetes. Later, you’ll learn how to deploy and configure your services to run in the OpenShift cloud.In the last part of the book, you’ll see how to make your application production-ready. You’ll find out how to configure continuous integration for your services using Jenkins, make your application resistant to network failures using Hystrix, and how to secure them using Keycloak. By the end of the book, you’ll have a functional example application and will have practical knowledge of Java EE cloud development that can be used as a reference in your other projects.

Hands-On Concurrency with Rust. Confidently build memory-safe, parallel, and efficient software in Rust

Brian L. Troutwine

Most programming languages can really complicate things, especially with regard to unsafe memory access. The burden on you, the programmer, lies across two domains: understanding the modern machine and your language's pain-points. This book will teach you to how to manage program performance on modern machines and build fast, memory-safe, and concurrent software in Rust. It starts with the fundamentals of Rust and discusses machine architecture concepts. You will be taken through ways to measure and improve the performance of Rust code systematically and how to write collections with confidence. You will learn about the Sync and Send traits applied to threads, and coordinate thread execution with locks, atomic primitives, data-parallelism, and more.The book will show you how to efficiently embed Rust in C++ code and explore the functionalities of various crates for multithreaded applications. It explores implementations in depth. You will know how a mutex works and build several yourself. You will master radically different approaches that exist in the ecosystem for structuring and managing high-scale systems. By the end of the book, you will feel comfortable with designing safe, consistent, parallel, and high-performance applications in Rust.

Hands-On Data Structures and Algorithms with Rust. Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

Claus Matzinger

Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.

Hands-On Dependency Injection in Go. Develop clean Go code that is easier to read, maintain, and test

Corey Scott

Hands-On Dependency Injection in Go takes you on a journey, teaching you about refactoring existing code to adopt dependency injection (DI) using various methods available in Go.Of the six methods introduced in this book, some are conventional, such as constructor or method injection, and some unconventional, such as just-in-time or config injection. Each method is explained in detail, focusing on their strengths and weaknesses, and is followed with a step-by-step example of how to apply it. With plenty of examples, you will learn how to leverage DI to transform code into something simple and flexible. You will also discover how to generate and leverage the dependency graph to spot and eliminate issues. Throughout the book, you will learn to leverage DI in combination with test stubs and mocks to test otherwise tricky or impossible scenarios.Hands-On Dependency Injection in Go takes a pragmatic approach and focuses heavily on the code, user experience, and how to achieve long-term benefits through incremental changes.By the end of this book, you will have produced clean code that’s easy to test.

Hands-On Design Patterns and Best Practices with Julia. Proven solutions to common problems in software design for Julia 1.x

Tom Kwong, Stefan Karpinski

Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications.Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages.By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development.

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

Primož Gabrijelčič

Design patterns have proven to be the go-to solution for many common programming scenarios. This book focuses on design patterns applied to the Delphi language. The book will provide you with insights into the language and its capabilities of a runtime library.You'll start by exploring a variety of design patterns and understanding them through real-world examples. This will entail a short explanation of the concept of design patterns and the original set of the 'Gang of Four' patterns, which will help you in structuring your designs efficiently. Next, you'll cover the most important 'anti-patterns' (essentially bad software development practices) to aid you in steering clear of problems during programming. You'll then learn about the eight most important patterns for each creational, structural, and behavioral type. After this, you'll be introduced to the concept of 'concurrency' patterns, which are design patterns specifically related to multithreading and parallel computation. These will enable you to develop and improve an interface between items and harmonize shared memories within threads. Toward the concluding chapters, you'll explore design patterns specific to program design and other categories of patterns that do not fall under the 'design' umbrella.By the end of this book, you'll be able to address common design problems encountered while developing applications and feel confident while building scalable projects.

Hands-On Design Patterns with React Native. Proven techniques and patterns for efficient native mobile development with JavaScript

Mateusz Grzesiukiewicz

React Native helps developers reuse code across different mobile platforms like iOS and Android.This book will show you effective design patterns in the React Native world and will make you ready for professional development in big teams.The book will focus only on the patterns that are relevant to JavaScript, ECMAScript, React and React Native. However, you can successfully transfer a lot of the skills and techniques to other languages. I call them “Idea patterns”.This book will start with the most standard development patterns in React like component building patterns, styling patterns in React Native and then extend these patterns to your mobile application using real world practical examples. Each chapter comes with full, separate source code of applications that you can build and run on your phone.The book is also diving into architectural patterns. Especially how to adapt MVC to React environment. You will learn Flux architecture and how Redux is implementing it. Each approach will be presented with its pros and cons. You will learn how to work with external data sources using libraries like Redux thunk and Redux Saga.The end goal is the ability to recognize the best solution for a given problem for your next mobile application.

Hands-On Embedded Programming with C++17. Create versatile and robust embedded solutions for MCUs and RTOSes with modern C++

Maya Posch

C++ is a great choice for embedded development, most notably, because it does not add any bloat, extends maintainability, and offers many advantages over different programming languages. Hands-On Embedded Programming with C++17 will show you how C++ can be used to build robust and concurrent systems that leverage the available hardware resources.Starting with a primer on embedded programming and the latest features of C++17, the book takes you through various facets of good programming. You’ll learn how to use the concurrency, memory management, and functional programming features of C++ to build embedded systems. You will understand how to integrate your systems with external peripherals and efficient ways of working with drivers. This book will also guide you in testing and optimizing code for better performance and implementing useful design patterns. As an additional benefit, you will see how to work with Qt, the popular GUI library used for building embedded systems.By the end of the book, you will have gained the confidence to use C++ for embedded programming.

Hands-On Embedded Programming with QT. Develop high performance applications for embedded systems with C++ and Qt 5

John Werner

Qt is an open source toolkit suitable for cross-platform and embedded application development. This book uses inductive teaching to help you learn how to create applications for embedded and Internet of Things (IoT) devices with Qt 5.You’ll start by learning to develop your very first application with Qt. Next, you’ll build on the first application by understanding new concepts through hands-on projects and written text. Each project will introduce new features that will help you transform your basic first project into a connected IoT application running on embedded hardware. In addition to gaining practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development and explore advanced techniques for testing, debugging, and monitoring the performance of Qt applications. The examples and projects covered throughout the book can be run both locally and on an embedded platform.By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications.

Hands-On Enterprise Automation with Python. Automate common administrative and security tasks with Python

Bassem Aly

Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks.By the end of this book, you will have mastered the skills of automating several system administration tasks with Python.

Hands-On Functional Programming in RUST. Build modular and reactive applications with functional programming techniques in Rust 2018

Andrew Johnson

Functional programming allows developers to divide programs into smaller, reusable components that ease the creation, testing, and maintenance of software as a whole. Combined with the power of Rust, you can develop robust and scalable applications that fulfill modern day software requirements. This book will help you discover all the Rust features that can be used to build software in a functional way.We begin with a brief comparison of the functional and object-oriented approach to different problems and patterns. We then quickly look at the patterns of control flow, data the abstractions of these unique to functional programming. The next part covers how to create functional apps in Rust; mutability and ownership, which are exclusive to Rust, are also discussed. Pure functions are examined next and you'll master closures, their various types, and currying. We also look at implementing concurrency through functional design principles and metaprogramming using macros. Finally, we look at best practices for debugging and optimization. By the end of the book, you will be familiar with the functional approach of programming and will be able to use these techniques on a daily basis.

Hands-On Functional Programming with TypeScript. Explore functional and reactive programming to create robust and testable TypeScript applications

Remo H. Jansen

Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language.The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you’ll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios. By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript.

Hands-On GPU Programming with Python and CUDA. Explore high-performance parallel computing with CUDA

Dr. Brian Tuomanen

Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory.As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS.With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain.By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.

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

Bhaumik Vaidya

Computer 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.

Hands-On High Performance Programming with Qt 5

Mark Krajewski

Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance.   The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains.   By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature