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.
Adobe AIR dla programistów JavaScript. Leksykon kieszonkowy
Mike Chambers, Daniel Dura, Kevin Hoyt, Dragos...
Poznaj moc nowoczesnej technologii AIR w tworzeniu funkcjonalnych aplikacji internetowych! Jak skonfigurować środowisko programistyczne w AIR? Jak zaimplementować funkcje? Jak utworzyć aplikację AIR, wykorzystując HTML i JavaScript? Adobe AIR to nowe międzyplatformowe środowisko wykonawcze, które pozwala programistom na wykorzystanie znanych technologii, takich jak HTML i JavaScript, do tworzenia rozbudowanych aplikacji internetowych. AIR oferuje bogaty zbiór wywołań API, a także ścisłą integrację z pulpitem, co umożliwia łączenie potęgi zasobów lokalnych z dostępem do internetu. O atrakcyjności Adobe AIR świadczą więc zarówno zasięg i łatwość programowania (najlepsze cechy modelu WWW), jak i funkcjonalność oraz bogactwo modelu pulpitowego. Książka "Adobe AIR dla programistów JavaScript. Leksykon kieszonkowy" stanowi wprowadzenie do tworzenia aplikacji Adobe AIR z wykorzystaniem języków HTML i JavaScript. Leksykon zawiera przegląd mechanizmów wykonawczych HTML i JavaScript w Adobe AIR oraz wyjaśnia, jak uzyskać dostęp do funkcji i interfejsów Adobe AIR z poziomu JavaScript. Znajdziesz tu wszelkie porady i wskazówki niezbędne do tego, by skonfigurować środowisko programistyczne, stworzyć, przetestować i wdrożyć atrakcyjną oraz funkcjonalną aplikację WWW.
Joseph Labrecque
With the advent of HTML5 and CSS3, web designers can now create sophisticated animations without the need of additional plugins such as Flash. However, there hasn't been an easy way for creating animations with web standards until now. This book enables even those with little knowledge of HTML or programming web content to freely create a variety of rich compositions involving motion and interactivity.Learning Adobe Edge will quickly get you up and running with this professional authoring software to create highly engaging content which targets HTML5, CSS, and JavaScript. Content created in Adobe Edge does not rely on a plugin ñ so it can be run within any standard browserñ even on mobile.Learning Adobe Edge begins with an overview of the shifting web landscape and the Edge application. We then move on through the variety of panels and toolsets available, and explore the many options we have when creating motion and interactivity using Edge.The book presents the reasoning behind engaging, standards-based web content and how Edge fills the need for professional tooling in this area. In the book we'll examine content creation and how to achieve fluid animation and advanced transitioning through the Edge timeline. Sprinkled throughout the book are tips and references for those coming to Edge from a background in Flash Professional. Whether you are coming to Edge from Flash Professional or are totally new to motion graphics on the web, Adobe Edge Quickstart Guide provides a solid foundation of motion and interactivity concepts and techniques along with a set of demo assets to build upon.
Hammad Arif, Habib Qureshi
.NET 5 is the unification of all .NET technologies in a single framework that can run on all platforms and provide a consistent experience to developers, regardless of the device, operating system (OS), or cloud platform they choose.By updating to .NET 5, you can build software that can quickly adapt to the rapidly changing demands of modern consumers and stay up to date on the latest technology trends in .NET.This book provides a comprehensive overview of all the technologies that will form the future landscape of .NET using practical examples based on real-world scenarios, along with best practices to help you migrate from legacy platforms.You’ll start by learning about Microsoft’s vision and rationale for the unification of the platforms. Then, you’ll cover all the new language enhancements in C# 9. As you advance, you’ll find out how you can align yourself with modern technology trends, focusing on everything from microservices to orchestrated containerized deployments. Finally, you’ll learn how to effectively integrate machine learning in .NET code.By the end of this .NET book, you’ll have gained a thorough understanding of the .NET 5 platform, together with a readiness to adapt to future .NET release cycles, and you’ll be able to make architectural decisions about porting legacy systems and code bases to a newer platform.
Advanced C++. Master the technique of confidently writing robust C++ code
Gazihan Alankus , Olena Lizina , Rakesh...
C++ is one of the most widely used programming languages and is applied in a variety of domains, right from gaming to graphical user interface (GUI) programming and even operating systems. If you're looking to expand your career opportunities, mastering the advanced features of C++ is key.The book begins with advanced C++ concepts by helping you decipher the sophisticated C++ type system and understand how various stages of compilation convert source code to object code. You'll then learn how to recognize the tools that need to be used in order to control the flow of execution, capture data, and pass data around. By creating small models, you'll even discover how to use advanced lambdas and captures and express common API design patterns in C++. As you cover later chapters, you'll explore ways to optimize your code by learning about memory alignment, cache access, and the time a program takes to run. The concluding chapter will help you to maximize performance by understanding modern CPU branch prediction and how to make your code cache-friendly.By the end of this book, you'll have developed programming skills that will set you apart from other C++ programmers.
Dr. Rian Quinn
If you think you've mastered C++ and know everything it takes to write robust applications, you'll be in for a surprise. With this book, you'll gain comprehensive insights into C++, covering exclusive tips and interesting techniques to enhance your app development process.You'll kick off with the basic principles of library design and development, which will help you understand how to write reusable and maintainable code. You'll then discover the importance of exception safety, and how you can avoid unexpected errors or bugs in your code. The book will take you through the modern elements of C++, such as move semantics, type deductions, and coroutines. As you advance, you'll delve into template programming - the standard tool for most library developers looking to achieve high code reusability. You'll explore the STL and learn how to avoid common pitfalls while implementing templates. Later, you'll learn about the problems of multithreaded programming such as data races, deadlocks, and thread starvation. You'll also learn high-performance programming by using benchmarking tools and libraries. Finally, you'll discover advanced techniques for debugging and testing to ensure code reliability.By the end of this book, you'll have become an expert at C++ programming and will have gained the skills to solve complex development problems with ease.
Ivan Vasilev
In order to build robust deep learning systems, you’ll need to understand everything from how neural networks work to training CNN models. In this book, you’ll discover newly developed deep learning models, methodologies used in the domain, and their implementation based on areas of application. You’ll start by understanding the building blocks and the math behind neural networks, and then move on to CNNs and their advanced applications in computer vision. You'll also learn to apply the most popular CNN architectures in object detection and image segmentation. Further on, you’ll focus on variational autoencoders and GANs. You’ll then use neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as LSTM and GRU. You’ll even explore the attention mechanism to process sequential data without the help of recurrent neural networks (RNNs). Later, you’ll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural networks with fewer training samples. Finally, you’ll understand how to apply deep learning to autonomous vehicles.By the end of this book, you’ll have mastered key deep learning concepts and the different applications of deep learning models in the real world.
Rowel Atienza
Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanced deep learning techniques available today. Revised for TensorFlow 2.x, this edition introduces you to the practical side of deep learning with new chapters on unsupervised learning using mutual information, object detection (SSD), and semantic segmentation (FCN and PSPNet), further allowing you to create your own cutting-edge AI projects.Using Keras as an open-source deep learning library, the book features hands-on projects that show you how to create more effective AI with the most up-to-date techniques.Starting with an overview of multi-layer perceptrons (MLPs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), the book then introduces more cutting-edge techniques as you explore deep neural network architectures, including ResNet and DenseNet, and how to create autoencoders. You will then learn about GANs, and how they can unlock new levels of AI performance.Next, you’ll discover how a variational autoencoder (VAE) is implemented, and how GANs and VAEs have the generative power to synthesize data that can be extremely convincing to humans. You'll also learn to implement DRL such as Deep Q-Learning and Policy Gradient Methods, which are critical to many modern results in AI.
Advanced Distributed Scrum. A concise guide to building and leading remote and hybrid Scrum Teams
Kelley O'Connell, Darren Wilmshurst, Lindy Quick
The COVID-19 pandemic altered the way teams work, turning remote work into a common practice for Agile teams that were originally founded to be co-located, leaving teams to grapple with remote and hybrid setups. The Agile mindset, however, remains the standard for effective teamwork, and this book integrates distributed work into your Agile and Scrum Values. Advanced Distributed Scrum will guide you in harnessing the talents of global team members and overcoming the challenges of working across geographies.Renowned Agile coach and educator Kelley O’Connell distills 25+ years of experience into this concise guide. The book begins by establishing the foundational principles of distributed Scrum, highlighting the unique roles and responsibilities within hybrid and remote environments. You’ll gain insights into the challenges faced by distributed Agile teams and explore how to cultivate a strong remote team culture, improve communication, and effectively manage conflicts in a virtual space. Finally, you'll put remote Scrum practices into action to maximize the outcomes you're aiming for.By the end of this book, you’ll be equipped to lead and nurture high-performing distributed teams, facilitate remote ceremonies, implement remote-friendly CI/CD pipelines, and create team norms that drive engagement.
Wai Tak Wong
Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks.You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch.By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch.
Wai Tak Wong
Building enterprise-grade distributed applications and executing systematic search operations call for a strong understanding of Elasticsearch and expertise in using its core APIs and latest features. This book will help you master the advanced functionalities of Elasticsearch and understand how you can develop a sophisticated, real-time search engine confidently. In addition to this, you'll also learn to run machine learning jobs in Elasticsearch to speed up routine tasks.You'll get started by learning to use Elasticsearch features on Hadoop and Spark and make search results faster, thereby improving the speed of query results and enhancing the customer experience. You'll then get up to speed with performing analytics by building a metrics pipeline, defining queries, and using Kibana for intuitive visualizations that help provide decision-makers with better insights. The book will later guide you through using Logstash with examples to collect, parse, and enrich logs before indexing them in Elasticsearch.By the end of this book, you will have comprehensive knowledge of advanced topics such as Apache Spark support, machine learning using Elasticsearch and scikit-learn, and real-time analytics, along with the expertise you need to increase business productivity, perform analytics, and get the very best out of Elasticsearch.
Ashish Bansal
Recently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems.
Quan Nguyen
Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages.In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level.This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models.The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming.You'll also understand the common problems that cause undesirable behavior in concurrent programs.Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable.By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.
Dr. Gabriele Lanaro, Quan Nguyen , Sakis...
This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.This Learning Path includes content from the following Packt products:• Python High Performance - Second Edition by Gabriele Lanaro• Mastering Concurrency in Python by Quan Nguyen• Mastering Python Design Patterns by Sakis Kasampalis
Dr. Gabriele Lanaro, Quan Nguyen , Sakis...
This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.This Learning Path includes content from the following Packt products:• Python High Performance - Second Edition by Gabriele Lanaro• Mastering Concurrency in Python by Quan Nguyen• Mastering Python Design Patterns by Sakis Kasampalis
Daniel Bass
Advanced Serverless Architectures with Microsoft Azure redefines your experience of designing serverless systems. It shows you how to tackle challenges of varying levels, not just the straightforward ones. You'll be learning how to deliver features quickly by building systems, which retain the scalability and benefits of serverless.You'll begin your journey by learning how to build a simple, completely serverless application. Then, you'll build a highly scalable solution using a queue, load messages onto the queue, and read them asynchronously. To boost your knowledge further, the book also features durable functions and ways to use them to solve errors in a complex system. You'll then learn about security by building a security solution from serverless components. Next, you’ll gain an understanding of observability and ways to leverage application insights to bring you performance benefits. As you approach the concluding chapters, you’ll explore chaos engineering and the benefits of resilience, by actively switching off a few of the functions within a complex system, submitting a request, and observing the resulting behavior. By the end of this book, you will have developed the skills you need to build and maintain increasingly complex systems that match evolving platform requirements.
This advanced cookbook is designed for software testers and engineers with previous automation experience and teaches UFT (QTP) developers advanced programming approaches. Knowledge of software testing and basic coding (with VBScript in particular) and familiarity with programming concepts are prerequisites.
John Sotiropoulos
Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies. Learn how to defend AI and LLM systems against manipulation and intrusion through adversarial attacks such as poisoning, trojan horses, and model extraction, leveraging DevSecOps, MLOps, and other methods to secure systems.This is a comprehensive guide to AI security, combining structured frameworks with practical examples to help you identify and counter adversarial attacks. Part 1 introduces the foundations of AI and adversarial attacks. Parts 2, 3, and 4 cover key attack types, showing how each is performed and how to defend against them. Part 5 presents secure-by-design AI strategies, including threat modeling, MLSecOps, and guidance aligned with OWASP and NIST. The book concludes with a blueprint for maturing enterprise AI security based on NIST pillars, addressing ethics and safety under Trustworthy AI.By the end of this book, you’ll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively.*Email sign-up and proof of purchase required
Agentic Coding with Claude Code. The everyday developer's guide to agentic coding with Claude Code
Eden Marco
Most developers encounter Claude Code through chat-style prompting, but that approach breaks down as projects grow and automation must be safe, repeatable, and controlled. Agentic Coding with Claude Code shows how to move beyond ad hoc prompts and use Claude Code as an extensible, agent-driven development platform.This book focuses on building context-aware AI workflows directly in your terminal and IDE. You will learn how to control Claude Code using slash commands, manage long-term context with persistent memory files, and automate development tasks using hooks that trigger actions across Claude Code's lifecycle.The book also covers the Model Context Protocol (MCP) as an important part of the modern agentic ecosystem. You will understand why MCP exists, explore its core architecture, and configure MCP servers inside Claude Code to improve context sharing across tools, agents, and workflows. The trade-offs between MCP, skills, and subagents are discussed to help you choose the right approach.You will design and orchestrate multi-agent systems using subagents, parallel sessions, and hierarchical delegation. By the end of the book, you will be able to integrate Claude Code into real-world development workflows with confidence and control.
Agile Development. Filozofia programowania zwinnego
James Shore, Shane Warden
Zbiór praktycznych wskazówek dla producentów oprogramowania Jak wdrożyć metodologię programowania zwinnego? W jaki sposób zaangażować klientów w projekt? Jak kontrolować jakość produktów? Programowanie zwinne (Agile Development) to obecnie jedna z najpopularniejszych metodologii zarządzania projektami programistycznymi. Metodyka Agile jest szczególnie użyteczna w małych zespołach programistycznych, w których z racji ułatwionej komunikacji nie ma potrzeby tworzenia rozbudowanej dokumentacji. Programowanie zwinne opiera się na iteracyjnej realizacji kolejnych etapów projektu. Kluczem do sukcesu w tej metodzie jest efektywna współpraca między członkami zespołu projektowego. Książka "Agile Development. Filozofia programowania zwinnego" to przewodnik po programowaniu ekstremalnym, oznaczanym zwykle skrótem XP, które jest jedną z technik wchodzących w skład tej metodyki. Czytając ją, dowiesz się, jak wdrażać metodologię Agile w firmie, na czym polega programowanie ekstremalne i jaką rolę w procesie pełnią poszczególni członkowie grupy projektowej. Nauczysz się budować zespół i określać zakresy zadań osób biorących udział w pracach, planować harmogram udostępniania kolejnych wersji produktu oraz kierować procesem jego tworzenia. Poznasz metody testowania programu i usuwania z niego błędów, zasady pisania dokumentacji oraz reguły prowadzenia spotkań roboczych z klientami. Wdrażanie programowania zwinnego Techniki programowania ekstremalnego Członkowie zespołu XP Zarządzanie zespołem Angażowanie klienta w proces wytwórczy Tworzenie raportów Udostępnianie kolejnych wersji systemu Standardy pisania kodu Testowanie i usuwanie błędów Optymalizacja wydajności programu Od filozofii do mistrzostwa w zwinnym programowaniu!
Agile Kata. Wzorce i praktyki dla transformacyjnej zwinności organizacyjnej
Joe Krebs
Sztuka ciągłego doskonalenia Agile W dzisiejszym dynamicznym środowisku biznesowym zwinność nie jest już opcjonalna - jest niezbędna. Agile Kata przedstawia potężne podejście łączące zasady Agile i naukowe myślenie Kata, aby utworzyć silny wzorzec ciągłego doskonalenia i zwinności organizacyjnej. Autor książki, czerpiąc ze swojego wieloletniego doświadczenia współpracy z różnorodnymi firmami, przedstawia strategie i techniki, które tworzą solidny wzór ciągłego doskonalenia i zwinności organizacyjnej. Ten praktyczny podręcznik ma pomóc firmom wdrażać ciągłe doskonalenie i wspierać kulturę myślenia naukowego, umożliwiając zespołom adaptację i prosperowanie w obliczu niepewności. W niniejszej książce przedstawiono narzędzia i sposób myślenia, których potrzebujesz do wprowadzania znaczących zmian i osiągania swoich celów, niezależnie od tego, czy jesteś praktykiem Agile, trenerem, liderem biznesu czy agentem zmiany. Strategie dopasowania praktyk kata z zasadami Agile Techniki dzielenia złożonych wyzwań na łatwe do opanowania eksperymenty Wykorzystanie dowodów do systematycznego rozwiązywania problemów Metody mierzenia postępów i osiągania znaczących wyników Sposoby pokonywania typowych przeszkód w transformacjach Agile Skuteczne techniki zwinnego coachingu i przywództwa, które zapewniają zespołom przyjęcie i utrzymanie podejścia Agile Kata Alternatywa dla istniejących zwinnych frameworków i procesów Podejścia do stosowania Agile Kata w zespołach i działach Wnioski z praktycznych przykładów i studiów przypadków Joe Krebs jest uznanym niemiecko-amerykańskim informatykiem, konsultantem i przedsiębiorcą z ponad dwudziestoletnim doświadczeniem w zakresie frameworków i procesów Agile. Jest założycielem firmy Incrementor i współpracował zarówno z przedsiębiorstwami z listy Fortune 500, jak i startupami, wprowadzając znaczące udoskonalenia ich praktyk Agile. Jest twórcą społeczności, gospodarzem podcastów, mówcą i autorem. W witrynie agilekata.pro można znaleźć więcej zasobów i narzędzi dotyczących korzystania z Agile Kata, a z autorem można się skontaktować na stronie joekrebs.com.
Bipin Chadha, Sylvester Juwe
DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.
Agile. Metodyki zwinne w planowaniu projektów
Mike Cohn
Projekty związane z tworzeniem oprogramowania bardzo się różnią od innych, bardziej tradycyjnych przedsięwzięć. Jeśli nie weźmiesz tego pod uwagę i uznasz, że podejście konwencjonalne wystarczy, ryzykujesz, że Twój projekt programistyczny stanie się źródłem frustracji i pasmem niepowodzeń. Efektem źle zbudowanego planu będzie niedotrzymywanie terminów, niedoszacowany koszt czy słaba jakość produktu. Projekt programistyczny wymaga takiej metodyki planowania, aby częste zmiany i wysoki stopień niepewności nie obróciły wniwecz wysiłku zespołu. Dlatego właśnie należy zastosować Agile. Ta książka jest wyczerpującym przewodnikiem po planowaniu projektów programistycznych. Znajdziesz tu dokładne omówienie filozofii metodyk zwinnych i dowiesz się, w jaki sposób je zastosować, aby w efekcie otrzymać dobry plan. Poszczególne zagadnienia zostały zaprezentowane czytelnie i dokładnie, a przy tym zilustrowane za pomocą rzeczywistych przykładów i studiów przypadków. Dzięki opisanym w książce technikom łatwo zachowasz zwinność od początku do końca projektu. Jeśli Twój zespół stosuje którąś z licznych metod Agile, to książka ta stanie się nieocenionym źródłem wiedzy, niezależnie od tego, czy jesteś menedżerem, liderem, czy szeregowym programistą. Dzięki tej książce dowiesz się: co sprawia, że plan jest dobry, i czym jest zwinne podejście do planowania w jaki sposób wykonywać oceny rozmiaru i czasu trwania projektu jak ustalać priorytety właściwości funkcjonalnych produktu dlaczego warto modelować finansowy zwrot funkcjonalności produktu w jaki sposób tworzyć harmonogramy dla projektu jak monitorować postępy realizacji przyjętego planu Agile w planowaniu oznacza sukces projektu! Mike Cohn jest jednym z twórców metody Scrum. Pierwszy raz zastosował ją w praktyce w 1995 r. i od tej pory jest gorącym zwolennikiem Agile. Cohn ma ponad trzydzieści lat doświadczenia w programowaniu i w zarządzaniu projektami. Był dyrektorem technicznym w wielu firmach - począwszy od startupów, a skończywszy na firmach z listy Fortune 40. Jest członkiem założycielem stowarzyszenia Agile Alliance. Pisze książki, publikuje artykuły w magazynach branżowych i regularnie wygłasza referaty na konferencjach.
Dr. Bruce Powel Douglass
Agile MBSE can help organizations manage constant change and uncertainty while continuously ensuring system correctness and meeting customers’ needs. But deploying it isn’t easy.Agile Model-Based Systems Engineering Cookbook is a little different from other MBSE books out there. This book focuses on workflows – or recipes, as the author calls them – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise.Written by Dr. Bruce Powel Douglass, a world-renowned expert in MBSE, this book will take you through important systems engineering workflows and show you how they can be performed effectively with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering, but we won’t linger on the theory for too long. Each of the recipes will take you through initiating a project, defining stakeholder needs, defining and analyzing system requirements, designing system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering.By the end of this MBSE book, you’ll have learned how to implement critical systems engineering workflows and create verifiably correct systems engineering models.
Dr. Bruce Powel Douglass, Dr. Christian von...
Agile MBSE can help organizations manage change while ensuring system correctness and meeting customers’ needs. But deployment challenges have changed since our first edition.The Agile Model-Based Systems Engineering Cookbook’s second edition focuses on workflows – or recipes – that will help MBSE practitioners and team leaders address practical situations that are part of deploying MBSE as part of an agile development process across the enterprise. In this 2nd edition, the Cameo MagicDraw Systems Modeler tool – the most popular tool for MBSE – is used in examples (models are downloadable by readers).Written by a world-renowned expert in MBSE, this book will take you through systems engineering workflows in the Cameo Systems Modeler SysML modeling tool and show you how they can be used with an agile and model-based approach. You’ll start with the key concepts of agile methods for systems engineering. Next, each recipe will take you through initiating a project, outlining stakeholder needs, defining and analyzing system requirements, specifying system architecture, performing model-based engineering trade studies, all the way to handling systems specifications off to downstream engineering.By the end of this MBSE book, you’ll learn how to implement systems engineering workflows and create systems engineering models.
Agile. Programowanie zwinne: zasady, wzorce i praktyki zwinnego wytwarzania oprogramowania w C#
Robert C. Martin, Micah Martin
Poznaj nowoczesną metodykę wytwarzania oprogramowania w C# Jak stosować w praktyce zasady zwinnego wytwarzania oprogramowania? W jaki sposób wykorzystywać w projekcie diagramy UML? Jak korzystać z wzorców projektowych? W związku ze stale rosnącymi oczekiwaniami użytkowników oprogramowania produkcja systemów informatycznych wymaga dziś korzystania z usystematyzowanych metod zarządzania. Projekt informatyczny, przy którym nie używa się sensownej metodologii wytwarzania, jest skazany na porażkę - przekroczenie terminu, budżetu i niespełnienie wymagań funkcjonalnych. Kierowanie projektem zgodnie z określonymi zasadami również nie gwarantuje sukcesu, lecz znacznie ułatwia jego osiągnięcie. Na początku roku 2001 grupa ekspertów zawiązała zespół o nazwie Agile Alliance. Efektem prac tego zespołu jest metodologia zwinnego wytwarzania oprogramowania - Agile. Książka Agile. Programowanie zwinne: zasady, wzorce i praktyki zwinnego wytwarzania oprogramowania w C# to podręcznik metodologii Agile przeznaczony dla twórców oprogramowania korzystających z technologii .NET. Dzięki niemu poznasz podstawowe założenia i postulaty twórców Agile i nauczysz się stosować je w praktyce. Dowiesz się, jak szacować terminy i koszty, dzielić proces wytwarzania na iteracje i testować produkt. Zdobędziesz wiedzę na temat refaktoryzacji, diagramów UML, testów jednostkowych i wzorców projektowych. Przeczytasz także o publikowaniu kolejnych wersji oprogramowania. Techniki programowania ekstremalnego Planowanie projektu Testowanie i refaktoryzacja Zasady zwinnego programowania Modelowanie oprogramowania za pomocą diagramów UML Stosowanie wzorców projektowych Projektowanie pakietów i komponentów Przekonaj się, ile czasu i pracy zaoszczędzisz, stosując w projektach metodologię Agile.
Agile. Programowanie zwinne: zasady, wzorce i praktyki zwinnego wytwarzania oprogramowania w C#
Robert C. Martin, Micah Martin
Poznaj nowoczesną metodykę wytwarzania oprogramowania w C# Jak stosować w praktyce zasady zwinnego wytwarzania oprogramowania? W jaki sposób wykorzystywać w projekcie diagramy UML? Jak korzystać z wzorców projektowych? W związku ze stale rosnącymi oczekiwaniami użytkowników oprogramowania produkcja systemów informatycznych wymaga dziś korzystania z usystematyzowanych metod zarządzania. Projekt informatyczny, przy którym nie używa się sensownej metodologii wytwarzania, jest skazany na porażkę - przekroczenie terminu, budżetu i niespełnienie wymagań funkcjonalnych. Kierowanie projektem zgodnie z określonymi zasadami również nie gwarantuje sukcesu, lecz znacznie ułatwia jego osiągnięcie. Na początku roku 2001 grupa ekspertów zawiązała zespół o nazwie Agile Alliance. Efektem prac tego zespołu jest metodologia zwinnego wytwarzania oprogramowania - Agile. Książka Agile. Programowanie zwinne: zasady, wzorce i praktyki zwinnego wytwarzania oprogramowania w C# to podręcznik metodologii Agile przeznaczony dla twórców oprogramowania korzystających z technologii .NET. Dzięki niemu poznasz podstawowe założenia i postulaty twórców Agile i nauczysz się stosować je w praktyce. Dowiesz się, jak szacować terminy i koszty, dzielić proces wytwarzania na iteracje i testować produkt. Zdobędziesz wiedzę na temat refaktoryzacji, diagramów UML, testów jednostkowych i wzorców projektowych. Przeczytasz także o publikowaniu kolejnych wersji oprogramowania. Techniki programowania ekstremalnego Planowanie projektu Testowanie i refaktoryzacja Zasady zwinnego programowania Modelowanie oprogramowania za pomocą diagramów UML Stosowanie wzorców projektowych Projektowanie pakietów i komponentów Przekonaj się, ile czasu i pracy zaoszczędzisz, stosując w projektach metodologię Agile.
Jaibeer Malik
Agile methodologies like Scrum focus on customer values in an incremental way. Regular planning, tracking, reporting, and improving can become equally challenging from a project management perspective. GreenHopper is a tooling support for JIRA that offers easy adoption of agile practices through rich interfaces for effective team collaboration and project management.Agile Project Management with GreenHopper 6 Blueprints is a step-by-step guide that teaches you how to manage agile projects using the GreenHopper tooling system. With easy adoption using pre-sets for Scrum & Kanban, the rich interface focuses on the work at hand, increasing team productivity. Executing sprints, tracking sprints, and reporting on agile projects has never been so easy. The integration with different development environments helps teams to focus on collaboration, communication, and continuous improvement. This book covers agile project management concepts using GreenHopper.You will learn about backlog management for your agile team, how to create projects and boards for your agile team, and how to create new backlog items, prioritize items, estimate backlog items, create sprints, and update technical task status and report on the same.You will learn everything you need to know about managing an agile project using GreenHopper and how to achieve the best value for your team.