Programowanie
Manoj Hans
This book is intended for automation testers and developers who want to enhance their skills from web-based automation to mobile application automation using Appium. Basic knowledge of mobile application testing, Selenium WebDriver, and programming is assumed.
Steven F. Daniel
With the increasing amount of new wearable devices hitting the market, wearables are the next wave of mobile technology. With the release of Apple's WatchKit SDK, a whole new world of exciting development possibilities hasopened up.Apple Watch App Development introduces you to the architecture and limitations of the Apple Watch platform, followed by an in-depth look at how to work with Xcode playgrounds. Here, we'll introduce you to the Swift programming language so you can quickly begin developing apps for the Apple Watch platform with the WatchKit framework and the Xcode Development IDE. We then discuss more advanced topics such as Notifiations, Glances, Closures, Tuples, Protocols, Apple pay, and using Swift playgrounds, with each concept backed up with example code that demonstrates how to properly execute it. We also show you how to package and deploy your Watch application to the Apple AppStore.By the end of this book, you will have a good understanding of how to develop apps for Apple Watch platform using the WatchKit framework and Swift 2.0.
Lee Zhi Eng
Qt is a powerful development framework that serves as a complete toolset for building cross-platform applications, helping you reduce development time and improve productivity. Completely revised and updated to cover C++17 and the latest developments in Qt 5.12, this comprehensive guide is the third edition of Application Development with Qt Creator.You'll start by designing a user interface using Qt Designer and learn how to instantiate custom messages, forms, and dialogues. You'll then understand Qt's support for multithreading, a key tool for making applications responsive, and the use of Qt's Model-View-Controller (MVC) to display data and content. As you advance, you'll learn to draw images on screen using Graphics View Framework and create custom widgets that interoperate with Qt Widgets. This Qt programming book takes you through Qt Creator's latest features, such as Qt Quick Controls 2, enhanced CMake support, a new graphical editor for SCXML, and a model editor. You'll even work with multimedia and sensors using Qt Quick, and finally develop applications for mobile, IoT, and embedded devices using Qt Creator.By the end of this Qt book, you'll be able to create your own cross-platform applications from scratch using Qt Creator and the C++ programming language.
This book is great for developers who are new to Qt and Qt Creator and who are interested in harnessing the power of Qt for cross-platform development. If you have basic experience programming in C++, you have what it takes to create engaging cross-platform applications using Qt and Qt Creator!
Andre Dovgal, Gregor Noriskin, Dmitri Olechko
Presented in a scenario-driven tutorial way, we lead you through fictitious example problems and present you with the best solutions. This book is intended for architects, developers, and managers who need to improve their knowledge of the Microsoft application platform. This book will appeal to anyone, especially consultants, who want to get up to speed on selecting the most appropriate platform for a particular problem. A good understanding of the general Windows platform and development technologies would be helpful.
Andre Dovgal, Gregor Noriskin, Dmitri Olechko
Presented in a scenario-driven tutorial way, we lead you through fictitious example problems and present you with the best solutions. This book is intended for architects, developers, and managers who need to improve their knowledge of the Microsoft application platform. This book will appeal to anyone, especially consultants, who want to get up to speed on selecting the most appropriate platform for a particular problem. A good understanding of the general Windows platform and development technologies would be helpful.
Sofía De Jesús, Dayrene Martinez
Computational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence.This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You’ll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. Toward the end, you will discover how to identify pitfalls in the solution design process and how to choose the right functionalities to create the best possible algorithmic solutions.By the end of this algorithm book, you will have gained the confidence to successfully apply computational thinking techniques to software development.
Balu Nair, Sumit Ranjan, Dr. S. Senthamilarasu
Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving.By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries.
Alex Galea, Luis Capelo
Taking an approach that uses the latest developments in the Python ecosystem, you’ll first be guided through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before you train your first predictive model. You’ll then explore a variety of approaches to classification such as support vector networks, random decision forests and k-nearest neighbors to build on your knowledge before moving on to advanced topics.After covering classification, you’ll go on to discover ethical web scraping and interactive visualizations, which will help you professionally gather and present your analysis. Next, you’ll start building your keystone deep learning application, one that aims to predict the future price of Bitcoin based on historical public data. You’ll then be guided through a trained neural network, which will help you explore common deep learning network architectures (convolutional, recurrent, and generative adversarial networks) and deep reinforcement learning. Later, you’ll delve into model optimization and evaluation. You’ll do all this while working on a production-ready web application that combines TensorFlow and Keras to produce meaningful user-friendly results.By the end of this book, you’ll be equipped with the skills you need to tackle and develop your own real-world deep learning projects confidently and effectively.
Mani Khanuja, Farooq Sabir , Shreyas Subramanian,...
Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.
Sergey Popov
Applied SOA Patterns on the Oracle Platform is aimed at architects practicing SOA or traditional integration, and also at technical team leaders implementing Oracle Fusion under SCRUM or WF methodology.
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!
Benjamin Johnston, Aaron Jones , Christopher Kruger
Unsupervised learning is a useful and practical solution in situations where labeled data is not available.Applied Unsupervised Learning with Python guides you in learning the best practices for using unsupervised learning techniques in tandem with Python libraries and extracting meaningful information from unstructured data. The book begins by explaining how basic clustering works to find similar data points in a set. Once you are well-versed with the k-means algorithm and how it operates, you’ll learn what dimensionality reduction is and where to apply it. As you progress, you’ll learn various neural network techniques and how they can improve your model. While studying the applications of unsupervised learning, you will also understand how to mine topics that are trending on Twitter and Facebook and build a news recommendation engine for users. Finally, you will be able to put your knowledge to work through interesting activities such as performing a Market Basket Analysis and identifying relationships between different products.By the end of this book, you will have the skills you need to confidently build your own models using Python.
Sam Morley
Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain.The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python’s scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.
Mark J. Price
Apps and Services with .NET 7 is for .NET 6 and .NET 7 developers who want to kick their C# and .NET understanding up a gear by learning the practical skills and knowledge they need to build real-world applications and services. It covers specialized libraries that will help you monitor and improve performance, secure your data and applications, and internationalize your code and apps.With chapters that put a variety of technologies into practice, including Web API, OData, gRPC, GraphQL, SignalR, and Azure Functions, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. It covers the latest developments, libraries, and technologies that will help keep you up to date.You’ll also leverage .NET MAUI to develop mobile apps for iOS and Android as well as desktop apps for Windows and macOS.
Mark J. Price
Elevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8.With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps.This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services.By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.*Email sign-up and proof of purchase required
Mark J. Price
Elevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8.With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps.This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services.By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.*Email sign-up and proof of purchase required
Hussein Nasser
ArcGIS is a geographic information system (GIS) for working with maps and geographic information. It is considered the turnkey solution to creating and sharing interactive maps. ArcGIS is designed to work the way you work. With nothing to install and set up, ArcGIS helps you make your work productive from day one.The book covers the design and development of three ArcGIS applications to guide the readers in crafting their own GIS solution as per their requirements. The book begins by giving you a refresher on the concepts of ArcGIS. Without wasting any time, you’ll begin with developing your first ArcGIS application. You will be developing a cell tower analysis tool. Following this, you will be guided through mapping signal strength and real - time manoeuvring in your GIS system. You will then move on to the second application of the book: a restaurant mapping system. The application will allow tourists to browse restaurants on a map, according to their preferences. Next, you will learn how to work with reviews and ratings and also cover some of the advanced searching options offered by ArcGIS. You will then make use of advanced ArcObjects to develop your third application: an excavation planning manager. The book will conclude by teaching you how work out excavation cost calculations and also saving and retrieving your excavation designs.
Daniela C Docan
This book is a good companion to get you quickly acquainted with everything you need to increase your productivity with the ArcGIS Desktop.It would be helpful to have a bit of familiarity with basic GIS concepts.If you have no previous experience with ArcGIS, this book will still be helpful for you because it will help you catch up to the acquainted users from a practical point of view.
Tripp Corbin, GISP
ArcGIS is Esri's catalog of GIS applications with powerful tools for visualizing, maintaining, and analyzing data. ArcGIS makes use of the modern ribbon interface and 64-bit processing to increase the speed and efficiency of using GIS. It allows users to create amazing maps in both 2D and 3D quickly and easily. If you want to gain a thorough understanding of the various data formats that can be used in ArcGIS Pro and shared via ArcGIS Online, then this book is for you. Beginning with a refresher on ArcGIS Pro and how to work with projects, this book will quickly take you through recipes about using various data formats supported by the tool. You will learn the limits of each format, such as Shapefiles, Geodatabase, and CAD files, and learn how to link tables from outside sources to existing GIS data to expand the amount of data that can be used in ArcGIS. You'll learn methods for editing 2D and 3D data using ArcGIS Pro and how topology can be used to ensure data integrity. Lastly the book will show you how data and maps can be shared via ArcGIS Online and used with web and mobile applications.
Tripp Corbin, GISP
ArcGIS is Esri's catalog of GIS applications with powerful tools for visualizing, maintaining, and analyzing data. ArcGIS makes use of the modern ribbon interface and 64-bit processing to increase the speed and efficiency of using GIS. It allows users to create amazing maps in both 2D and 3D quickly and easily. If you want to gain a thorough understanding of the various data formats that can be used in ArcGIS Pro and shared via ArcGIS Online, then this book is for you. Beginning with a refresher on ArcGIS Pro and how to work with projects, this book will quickly take you through recipes about using various data formats supported by the tool. You will learn the limits of each format, such as Shapefiles, Geodatabase, and CAD files, and learn how to link tables from outside sources to existing GIS data to expand the amount of data that can be used in ArcGIS. You'll learn methods for editing 2D and 3D data using ArcGIS Pro and how topology can be used to ensure data integrity. Lastly the book will show you how data and maps can be shared via ArcGIS Online and used with web and mobile applications.
Tripp Corbin, GISP, Kirk Larson
ArcGIS Pro, Esri's newest desktop GIS application, offers powerful tools for visualizing, maintaining, and analyzing data. This cookbook will help existing ArcMap users transition to ArcGIS Pro and teach new users how to utilize its GIS tools effectively. You’ll learn how to create geodatabases, convert data formats, link tables from outside sources, edit 2D and 3D data, ensure data integrity with topology, and enable advanced geodatabase behavior. By the end, you'll be able to effectively use ArcGIS Pro as your primary desktop GIS application, maintaining, analyzing, and displaying data using common methods and tools.
Marcotte, Nick Cosentino
This unique ASP.NET Core book will fill in the gaps in your REST API and backend designs. Learn how to build robust, maintainable, and flexible apps using Gang of Four (GoF) design patterns and modern architectural principles. This new edition is updated for .NET 8 and focuses exclusively on the backend, with new content on REST APIs, the REPR pattern, and building modular monoliths.You’ll start by covering foundational concepts like REST, the SOLID principles, Minimal APIs, dependency injection in .NET, and other ASP.NET Core 8 mechanisms. Then, you’ll learn to develop components using design patterns, including many from the GoF. Finally, you’ll explore organizing your application code with patterns that vary from layers to feature-oriented vertical slice designs, covering CQS and a deep dive into microservices along the way. A brand-new e-commerce project at the end of the book will tie it all together.This how-to guide will teach you how to assemble your own APIs from building blocks, to suit whatever real-world requirements you may have.
Marcotte, Nick Cosentino
This unique ASP.NET Core book will fill in the gaps in your REST API and backend designs. Learn how to build robust, maintainable, and flexible apps using Gang of Four (GoF) design patterns and modern architectural principles. This new edition is updated for .NET 8 and focuses exclusively on the backend, with new content on REST APIs, the REPR pattern, and building modular monoliths.You’ll start by covering foundational concepts like REST, the SOLID principles, Minimal APIs, dependency injection in .NET, and other ASP.NET Core 8 mechanisms. Then, you’ll learn to develop components using design patterns, including many from the GoF. Finally, you’ll explore organizing your application code with patterns that vary from layers to feature-oriented vertical slice designs, covering CQS and a deep dive into microservices along the way. A brand-new e-commerce project at the end of the book will tie it all together.This how-to guide will teach you how to assemble your own APIs from building blocks, to suit whatever real-world requirements you may have.
Erol Kavas
Infrastructure as code (IaC) and Terraform have become essential tools for managing cloud infrastructure and automating deployment processes. Mastering Terraform on AWS presents a step-by-step approach on how to master these tools and build a secure and scalable AWS infrastructure. The book starts with an introduction to patterns and anti-patterns of IaC and Terraform, explaining the common mistakes and pitfalls you must avoid. You’ll then learn about the importance of planning and designing infrastructure projects in AWS and making informed decisions for projects in AWS Terraform. You’ll find out how to implement Terraform in your projects and deploy serverless projects. Next, you’ll be able to deploy containers in AWS with Terraform, exploring the best practices for Terraform IaC projects. You’ll understand how you can leverage Terraform for enterprises, build Git workflows for IaC and Terraform projects, and automate deployment of Terraform projects. The last set of chapters will teach you how to govern AWS with Terraform and build a secure infrastructure. Finally, you’ll discover how to achieve a perfect AWS infrastructure with Terraform. By the end of this book, you’ll have gained a comprehensive understanding of the various aspects of Terraform and IaC, along with the knowledge required to build, manage, and deploy complex infrastructures on AWS.
Kevin L. Jackson, Scott Goessling
Cloud adoption is a core component of digitaltransformation. Scaling the IT environment,making it resilient, and reducing costs arewhat organizations want. Architecting CloudComputing Solutions presents and explainscritical cloud solution design considerationsand technology decisions required tobe made for deploying the right cloudservice and deployment models,based on your business andtechnology service requirements.This book starts with the fundamentalsof cloud computing and its architecturalconcepts. It then walks you throughcloud service models (IaaS, PaaS, andSaaS), deployment models (public,private, community, and hybrid)and implementation options(enterprise, MSP, and CSP) to explainand describe the key considerations andchallenges organizations face during cloudmigration. Later, this book delves into how toleverage DevOps, Cloud-Native, and serverlessarchitectures in your cloud environmentand presents industry best practices forscaling your cloud environment. Finally,this book addresses in depth how tomanage essential cloud technologyservice components, such as data storage,security controls, and disaster recovery.By the end of this book, you will havemastered all the design considerations andoperational trades required to adopt cloudservices, no matter which cloud serviceprovider you choose.
Safeer CM
Serverless computing has emerged as a mainstream paradigm in both cloud and on-premises computing, with AWS Lambda playing a pivotal role in shaping the Function-as-a-Service (FaaS) landscape. However, with the explosion of serverless technologies and vendors, it has become increasingly challenging to comprehend the foundational services and their offerings.Architecting Cloud Native Serverless Solutions lays a strong foundation for understanding the serverless landscape and technologies in a vendor-agnostic manner. You'll learn how to select the appropriate cloud vendors and technologies based on your specific needs. In addition, you'll dive deep into the serverless services across AWS, GCP, Azure, and Cloudflare followed by open source serverless tools such as Knative, OpenFaaS, and OpenWhisk, along with examples. You'll explore serverless solutions on Kubernetes that can be deployed on both cloud-hosted clusters and on-premises environments, with real-world use cases. Furthermore, you'll explore development frameworks, DevOps approaches, best practices, security considerations, and design principles associated with serverless computing.By the end of this serverless book, you'll be well equipped to solve your business problems by using the appropriate serverless vendors and technologies to build efficient and cost-effective serverless systems independently.
Victor Dantas
Google has been one of the top players in the public cloud domain thanks to its agility and performance capabilities. This book will help you design, develop, and manage robust, secure, and dynamic solutions to successfully meet your business needs.You'll learn how to plan and design network, compute, storage, and big data systems that incorporate security and compliance from the ground up. The chapters will cover simple to complex use cases for devising solutions to business problems, before focusing on how to leverage Google Cloud's Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) capabilities for designing modern no-operations platforms. Throughout this book, you'll discover how to design for scalability, resiliency, and high availability. Later, you'll find out how to use Google Cloud to design modern applications using microservices architecture, automation, and Infrastructure-as-Code (IaC) practices. The concluding chapters then demonstrate how to apply machine learning and artificial intelligence (AI) to derive insights from your data. Finally, you will discover best practices for operating and monitoring your cloud solutions, as well as performing troubleshooting and quality assurance.By the end of this Google Cloud book, you'll be able to design robust enterprise-grade solutions using Google Cloud Platform.