Programowanie
Niezależnie czy dopiero rozpoczynacie swoją przygodę z programowaniem, czy jesteście już uznanymi na rynku profesjonalistami, to w kategorii Programowanie na pewno znajdziecie podręczniki, które pomogą Wam w przebiegu pracy, czy też w nauce podstaw programowania.
W książkach z tego działu zawarta jest wiedza zarówno związana z czysto technicznymi sprawami typu składnia języków, ale także z umiejętnościami bardziej "miękkimi" jak obsługa i wykorzystanie pełnych możliwości środowisk programistycznych, czy też projektowanie oprogramowania lub metody numeryczne czy oraz struktury danych.
Nauka robotyki z językiem Python
Lentin Joseph
Roboty wkraczają do różnych dziedzin naszego życia, więc robotyka nabiera coraz większego znaczenia. Nauka o robotach, ich budowaniu i programowaniu jest dość złożoną, ale fascynującą dziedziną. Jej opanowanie wymaga wysiłku, jednak aby zaprojektować łatwy do wykorzystania interfejs, wystarczy posłużyć się kilkoma programami narzędziowymi oraz językiem Python. W ten sposób można zaprojektować zachowania robota, określić, w jaki sposób będzie zmierzał do celu, reagował na sygnały otaczającego świata, czy sprawić, by oczekiwał na instrukcje. Dzięki tej książce można się nauczyć, jak z wykorzystaniem języka Python oraz kilku popularnych frameworków stosowanych w robotyce, takich jak system ROS, budować autonomiczne roboty mobilne. Omówiono w niej również inne frameworki programistyczne, w tym również te dla Pythona. Aby równocześnie pokazać praktyczne wykorzystanie przedstawianego materiału, omówiono krok po kroku proces budowania robota-służącego ChefBot, który na przykład może podawać posiłki w domu, hotelu czy restauracji. W tej książce przedstawiono: zwięzłe podstawy robotyki i zasady projektowania oprogramowania robotów, aspekty projektowania CAD 2D i 3D z wykorzystaniem programów LibreCAD i Blender, budowanie modeli 3D z wykorzystaniem API Blender dla Pythona, zagadnienia sprzętowej warstwy projektowania robota, zasady obsługi sensorów robotów, w tym programowanie sensorów wizji, obsługę rozpoznawania mowy i syntezę mowy z wykorzystaniem Pythona i ROS, implementację sztucznej inteligencji za pomocą Pythona, zagadnienie testowania i kalibrowania robota. Przekonaj się, jak fascynujące jest programowanie robotów! Lentin Joseph — inżynier elektroniki, entuzjasta robotyki i ekspert w dziedzinie systemów wbudowanych. Szczególnie interesuje się robotyką, przetwarzaniem obrazu i zastosowaniem języka Python w programowaniu robotów. Jest również znawcą wielu platform oprogramowania robotów, takich jak system ROS (ang. Robot Operating system), V-REP i Actin. Biegle posługuje się bibliotekami przetwarzania obrazu, w tym OpenCV, OpenNI i PCL. Specjalizuje się również w dziedzinie projektowania 3D i programowania systemów wbudowanych na platformach Arduino i Launchpad Stellaris. Jest właścicielem firmy Qbotics Labs zajmującej się rozwijaniem robotyki i jej zastosowaniami w wielu dziedzinach.
Neha Shrivastava, Rishabh Verma
With the rise in the number of tools and technologies available today, developers and architects are always exploring ways to create better and smarter solutions. Before, the differences between target platforms was a major roadblock, but that's not the case now. .NET Core 2.0 By Example will take you on an exciting journey to building better software.This book provides fresh and relevant content to .NET Core 2.0 in a succinct format that’s enjoyable to read. It also delivers concepts, along with the implications, design decisions, and potential pitfalls you might face when targeting Linux and Windows systems, in a logical and simple way.With the .NET framework at its center, the book comprises of five varied projects: a multiplayer Tic-tac-toe game; a real-time chat application, Let'sChat; a chatbot; a microservice-based buying-selling application; and a movie booking application. You will start each chapter with a high-level overview of the content, followed by the above example applications described in detail. By the end of each chapter, you will not only be proficient with the concepts, but you’ll also have created a tangible component in the application.By the end of the book, you will have built five solid projects using all the tools and support provided by the .NET Core 2.0 framework.
Arun Narayanan, Praseed Pai, Shine Xavier
Knowing about design patterns enables developers to improve their code base, promoting code reuse and making their design more robust.This book focuses on the practical aspects of programming in .NET. You will learn about some of the relevant design patterns (and their application) that are most widely used. We start with classic object-oriented programming (OOP) techniques, evaluate parallel programming and concurrency models, enhance implementations by mixing OOP and functional programming, and finally to the reactive programming model where functional programming and OOP are used in synergy to write better code. Throughout this book, we’ll show you how to deal with architecture/design techniques, GoF patterns, relevant patterns from other catalogs, functional programming, and reactive programming techniques. After reading this book, you will be able to convincingly leverage these design patterns (factory pattern, builder pattern, prototype pattern, adapter pattern, facade pattern, decorator pattern, observer pattern and so on) for your programs. You will also be able to write fluid functional code in .NET that would leverage concurrency and parallelism!
Arun Narayanan, Praseed Pai, Shine Xavier
Knowing about design patterns enables developers to improve their code base, promoting code reuse and making their design more robust.This book focuses on the practical aspects of programming in .NET. You will learn about some of the relevant design patterns (and their application) that are most widely used. We start with classic object-oriented programming (OOP) techniques, evaluate parallel programming and concurrency models, enhance implementations by mixing OOP and functional programming, and finally to the reactive programming model where functional programming and OOP are used in synergy to write better code. Throughout this book, we’ll show you how to deal with architecture/design techniques, GoF patterns, relevant patterns from other catalogs, functional programming, and reactive programming techniques. After reading this book, you will be able to convincingly leverage these design patterns (factory pattern, builder pattern, prototype pattern, adapter pattern, facade pattern, decorator pattern, observer pattern and so on) for your programs. You will also be able to write fluid functional code in .NET that would leverage concurrency and parallelism!
Alexander Russkov
Think about how much time you usually spend building an app in a technology you're still mastering—grasping new concepts, navigating roadblocks, and even rewriting entire modules as you learn. This book saves you that time, helping you create a modern .NET MAUI application like a pro.The chapters address a wide range of tasks and concepts essential for real-world apps, including UI best practices and advanced tips, MVVM, dependency injection, performance, and memory profiling. Since real-world applications often go beyond frontend development, this book also explores integration with backend services for authentication, data processing, synchronization, and real-time updates. Additionally, you’ll learn to implement multiple AI integration strategies, all without any prior machine learning experience.Mastery comes with practice, so the book is organized with step-by-step recipes, each tackling a specific task. Each recipe includes detailed explanations to help you apply what you're learning to your own unique projects.By the end of this book, you'll have developed the skills to build high-performance, interactive cross-platform applications with .NET MAUI, saving valuable time on your future projects.
Roger Ye
An evolution of Xamarin.Forms, .NET MAUI is a cross-platform framework for creating native mobile and desktop apps with C# and XAML. Using .NET MAUI, you can develop apps that’ll run on Android, iOS, macOS, and Windows from a single shared codebase. In this revised edition of .NET MAUI Cross-Platform Application Development you will be introduced to .NET 8 and get up to speed with app development in no time.The book begins by showing you how to develop a cross-platform application using .NET MAUI, including guidance for migrating from Xamarin.Forms. You’ll gain all the knowledge needed to create a cross-platform application for Android, iOS, macOS, and Windows following an example project step by step.As you advance, you’ll integrate the latest frontend technology into your app using Blazor components, including the new Blazor Bindings feature. After this, you’ll learn how to test and deploy your apps. With new coverage on creating mock .NET MAUI components, you can develop unit tests for your application. You will additionally learn how to perform Razor component testing using bUnit.By the end of this book, you’ll have learned how to develop your own cross-platform applications using .NET MAUI.
Roger Ye
An evolution of Xamarin.Forms, .NET Multi-platform App UI (.NET MAUI) is a cross-platform framework for creating native mobile and desktop apps with C# and XAML. Using .NET MAUI, you can develop apps that’ll run on Android, iOS, macOS, and Windows from a single shared code-base. This step-by-step guide provides a comprehensive introduction to those who are new to .NET MAUI that will have you up to speed with app development using .NET MAUI in no time.The book begins by showing you how to develop a cross-platform application using .NET MAUI and then helps you build an app throughout the chapters. You’ll gain all the knowledge needed to create a cross-platform application for Android, iOS, the mac OS, and Windows from a single shared code-base using .NET MAUI. As you advance, you’ll get to grips with the entire application development lifecycle, from design and implementation through to deployment to the app store through the development of a password manager app using KeePassLib. The concluding chapters will teach you how to integrate the latest frontend technology into your app through .NET MAUI Blazor.By the end of this book, you’ll have learned how to develop your own cross-platform applications using .NET MAUI.
Fiqri Ismail
The .NET Standard is a standard that represents a set of APIs that all .NET platforms have to implement, making it easy for developers to access and use one common library for their development needs. This book begins with a quick refresher, helping you understand the mechanics of the new standard and offering insight into how it works. You’ll explore the core library concepts, such as working with collections, configurations, I/O, security, and multithreading. You’ll explore the iOS and Android libraries of Xamarin and we’ll guide you through creating a .NET Standard 2.0 library, which you’ll use with both Android and iOS applications. In the final chapters, you’ll learn the various debugging and diagnostics tools to deliver quality libraries and create a NuGet package of the .NET Standard 2.0 library. By the end of this book, you’ll be able to expand your current workflow to various .NET flavors and have the essential skills to create a .NET Standard 2.0 library from scratch to package and deliver it to the world.
Fiqri Ismail
The .NET Standard is a standard that represents a set of APIs that all .NET platforms have to implement, making it easy for developers to access and use one common library for their development needs. This book begins with a quick refresher, helping you understand the mechanics of the new standard and offering insight into how it works. You’ll explore the core library concepts, such as working with collections, configurations, I/O, security, and multithreading. You’ll explore the iOS and Android libraries of Xamarin and we’ll guide you through creating a .NET Standard 2.0 library, which you’ll use with both Android and iOS applications. In the final chapters, you’ll learn the various debugging and diagnostics tools to deliver quality libraries and create a NuGet package of the .NET Standard 2.0 library. By the end of this book, you’ll be able to expand your current workflow to various .NET flavors and have the essential skills to create a .NET Standard 2.0 library from scratch to package and deliver it to the world.
Fiqri Ismail
The .NET Standard is a standard that represents a set of APIs that all .NET platforms have to implement, making it easy for developers to access and use one common library for their development needs. This book begins with a quick refresher, helping you understand the mechanics of the new standard and offering insight into how it works. You’ll explore the core library concepts, such as working with collections, configurations, I/O, security, and multithreading. You’ll explore the iOS and Android libraries of Xamarin and we’ll guide you through creating a .NET Standard 2.0 library, which you’ll use with both Android and iOS applications. In the final chapters, you’ll learn the various debugging and diagnostics tools to deliver quality libraries and create a NuGet package of the .NET Standard 2.0 library. By the end of this book, you’ll be able to expand your current workflow to various .NET flavors and have the essential skills to create a .NET Standard 2.0 library from scratch to package and deliver it to the world.
Peter Ries
NetSuite consultants face increasingly complex challenges in multi-currency configurations, financial automation, and third-party integrations that become maintenance nightmares. Add evolving client expectations and rapidly advancing platform capabilities, and many consultants find themselves struggling to deliver the transformative results their clients demand.This comprehensive guide provides the up-to-date roadmap you need to master NetSuite implementation and customization, turning these persistent challenges into competitive advantages.In this updated edition, author Peter Ries, an Oracle NetSuite Consulting Technical Director, expands on the latest advancements, including AI-enabled features, SuiteAnalytics, mobile apps, and new integration options. You'll gain access to proven consulting strategies, ERP optimization best practices, and practical guidance for configuring NetSuite to meet complex business requirements. Through real-world scenarios and actionable case studies, you’ll learn how to navigate common pitfalls and implement scalable solutions that drive long-term success.By the end of this book, you’ll be fully prepared to streamline NetSuite implementations and deliver high-impact consulting services confidently. It’s designed to maximize your career potential, no matter your level of experience.
Christian Adell, Jeffrey Kala, Karim Okasha
Network Automation Cookbook, now in its second edition, is your essential guide to building robust network automation workflows across modern hybrid infrastructures. Building on the foundation laid in the first edition, this version dives deeper into Ansible’s role in automating network infrastructure, expanding coverage to include modern use cases across enterprise and cloud networks.The book introduces Ansible’s core concepts, such as playbooks, inventories, variables, loops, and templates, and progresses to advanced topics such as parallelism, fact caching, custom filters, and modular design. You will automate real-world scenarios using Nokia SR, Cisco IOS, Juniper, and Arista devices in a fully reproducible virtual lab. The chapters also help you explore cloud automation for AWS, Azure, and Google Cloud, and integrate validation tools such as PyATS, Batfish, and Nautobot. New chapters cover event-driven automation, AWX for workflow execution, and Terraform integration. By using hands-on labs and fully reproducible recipes, you can practice real-world scenarios and reinforce your skills.By the end of this book, you’ll be well-equipped with the tools and workflows to automate infrastructure efficiently with Ansible.
Karim Okasha
Network Automation Cookbook is designed to help system administrators, network engineers, and infrastructure automation engineers to centrally manage switches, routers, and other devices in their organization's network. This book will help you gain hands-on experience in automating enterprise networks and take you through core network automation techniques using the latest version of Ansible and Python. With the help of practical recipes, you'll learn how to build a network infrastructure that can be easily managed and updated as it scales through a large number of devices. You'll also cover topics related to security automation and get to grips with essential techniques to maintain network robustness. As you make progress, the book will show you how to automate networks on public cloud providers such as AWS, Google Cloud Platform, and Azure. Finally, you will get up and running with Ansible 2.9 and discover troubleshooting techniques and network automation best practices. By the end of this book, you'll be able to use Ansible to automate modern network devices and integrate third-party tools such as NAPALM, NetBox, and Batfish easily to build robust network automation solutions.
Nicolas Leiva, Michael Kashin
Go’s built-in first-class concurrency mechanisms make it an ideal choice for long-lived low-bandwidth I/O operations, which are typical requirements of network automation and network operations applications.This book provides a quick overview of Go and hands-on examples within it to help you become proficient with Go for network automation. It’s a practical guide that will teach you how to automate common network operations and build systems using Go.The first part takes you through a general overview, use cases, strengths, and inherent weaknesses of Go to prepare you for a deeper dive into network automation, which is heavily reliant on understanding this programming language. You’ll explore the common network automation areas and challenges, what language features you can use in each of those areas, and the common software tools and packages. To help deepen your understanding, you’ll also work through real-world network automation problems and apply hands-on solutions to them.By the end of this book, you’ll be well-versed with Go and have a solid grasp on network automation.
Claus Töpke
Network programming and automation, unlike traditional networking, is a modern-day skill that helps in configuring, managing, and operating networks and network devices. This book will guide you with important information, helping you set up and start working with network programming and automation.With Network Programming and Automation Essentials, you’ll learn the basics of networking in brief. You’ll explore the network programming and automation ecosystem, learn about the leading programmable interfaces, and go through the protocols, tools, techniques, and technologies associated with network programming. You’ll also master network automation using Python and Go with hands-on labs and real network emulation in this comprehensive guide.By the end of this book, you’ll be well equipped to program and automate networks efficiently.
Yoram Orzach, Deepanshu Khanna
With the increased demand for computer systems and the ever-evolving internet, network security now plays an even bigger role in securing IT infrastructures against attacks. Equipped with the knowledge of how to find vulnerabilities and infiltrate organizations through their networks, you’ll be able to think like a hacker and safeguard your organization’s network and networking devices. Network Protocols for Security Professionals will show you how.This comprehensive guide gradually increases in complexity, taking you from the basics to advanced concepts. Starting with the structure of data network protocols, devices, and breaches, you’ll become familiar with attacking tools and scripts that take advantage of these breaches. Once you’ve covered the basics, you’ll learn about attacks that target networks and network devices. Your learning journey will get more exciting as you perform eavesdropping, learn data analysis, and use behavior analysis for network forensics. As you progress, you’ll develop a thorough understanding of network protocols and how to use methods and tools you learned in the previous parts to attack and protect these protocols.By the end of this network security book, you’ll be well versed in network protocol security and security countermeasures to protect network protocols.
Edward L. Platt
NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use.If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts.By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems.
Manpreet Singh Ghotra, Rajdeep Dua
If you're aware of the buzz surrounding the terms such as machine learning, artificial intelligence, or deep learning, you might know what neural networks are. Ever wondered how they help in solving complex computational problem efficiently, or how to train efficient neural networks? This book will teach you just that.You will start by getting a quick overview of the popular TensorFlow library and how it is used to train different neural networks. You will get a thorough understanding of the fundamentals and basic math for neural networks and why TensorFlow is a popular choice Then, you will proceed to implement a simple feed forward neural network. Next you will master optimization techniques and algorithms for neural networks using TensorFlow. Further, you will learn to implement some more complex types of neural networks such as convolutional neural networks, recurrent neural networks, and Deep Belief Networks. In the course of the book, you will be working on real-world datasets to get a hands-on understanding of neural network programming. You will also get to train generative models and will learn the applications of autoencoders.By the end of this book, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle. While you are learning about various neural network implementations you will learn the underlying mathematics and linear algebra and how they map to the appropriate TensorFlow constructs.
V Kishore Ayyadevara
This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach.We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data.Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks.We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems.Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game.By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter.