Informatyka
Brian Fitzpatrick, Damodar Chetty
While Tomcat is one of the most popular servlet containers, its inner workings still remain a mystery to many developers. If you only have a superficial familiarity of how this container actually functions, much of its power remains untapped and underutilized. This book will provide you with all that you need to undertand how to effectively use Apache Tomcat. This book begins by providing detailed instructions on building a Tomcat distribution. The next few chapters introduce you to the conceptual underpinnings of web servers, the Java EE and servlet specifications, and the Tomcat container. Subsequent chapters address the key Tomcat components, taking care to provide you with the information needed to understand the internal workings of each component. Detailed examples let you walk through a Tomcat installation, stepping into key Tomcat components, as well as into your own custom servlets.During the course of the book you will encounter various structural components such as the Server and Service; containers such as the Engine, Host, Context, and Wrapper; and helpers such as the Loader, Manager, and Valve. You will also see how Tomcat implements the JNDI API to provide both a directory service for storage agnostic access to its resources, as well as a naming service that implements the Java EE Environment Naming Context.Along the way you will learn how various elements of the servlet 2.5 specification, as well as the HTTP RFCs are implemented by a servlet container. By the end of your journey, you will be able to count yourself as part of the elite minority of Java EE web developers who truly understand what goes on under the covers of a servlet container.
Tomcat. Przewodnik encyklopedyczny. Wydanie II
Jason Brittain, Ian Darwin
Poznaj możliwości serwera Tomcat! Jak dostroić Tomcat w celu pomiaru i poprawy wydajności? Jak wdrażać aplikacje WWW z serwletami i stronami JSP? Jak diagnozować problemy z serwerem? Tomcat jest kontenerem serwletów Java i serwerem WWW stworzonym przez organizację Apache Software Foundation. Może pełnić rolę serwera produkcyjnego o dużej wydajności, sprawdza się również jako darmowy kontener serwletów i stron JSP z udostępnionym kodem źródłowym. Tomcat może być zastosowany niezależnie lub w połączeniu z innymi serwerami WWW (np. httpd Apache). Doskonale radzi sobie w każdego rodzaju środowisku, zapewniając fundament wymagany do praktycznego wykorzystania w Internecie umiejętności z zakresu technologii Java. W książce "Tomcat. Przewodnik encyklopedyczny" znajdziesz szczegółowe wyjaśnienia, jak korzystać z tego serwera. Czytając ją, poznasz wszelkie procedury instalacyjne oraz możliwości konfigurowania obszarów, ról, użytkowników i zasobów JNDI. Nauczysz się, jak uaktywniać i wyłączać funkcję automatycznego przeładowywania serwletów, a także wdrażać aplikacje WWW. Niezbędne informacje dotyczące serwera Tomcat znajdą tu nie tylko programiści, ale także administratorzy, webmasterzy i wszyscy, którzy chcą się dowiedzieć czegoś o tym kontenerze serwletów. Instalowanie i konfigurowanie Tomcata Zarządzanie obszarami, rolami i użytkownikami Uruchamianie i zatrzymywanie serwera Kontrolowanie i utrwalanie sesji Optymalizowanie wydajności serwera Integracja z serwerem WWW Apache Wdrażanie rozpakowanego katalogu aplikacji WWW Praca z plikami WAR Zabezpieczenia serwera Tomcat Przewodnik dla wszystkich, którzy chcą ułatwić sobie pracę z serwerem Tomcat.
Mark J. Price
.NET is more powerful—and more complex—than ever. As the ecosystem evolves, so do the expectations from developers. Mastering the tools and patterns of professional .NET development can be the difference between simply shipping code and delivering resilient, scalable software. Tools and Skills for .NET 10 is a practical guide to leveling up in today’s .NET world, offering both hard technical skills and career strategies to help you thrive.Inside, you’ll learn how to manage codebases with Git and implement debugging and memory analysis techniques that save hours of guesswork. The book also covers best practices for writing and maintaining documentation for your code, services, and APIs, which is crucial for team collaboration. You’ll explore cryptography for securing data and concurrency for building responsive apps. Further chapters explore dependency injection, testing for performance and reliability, and packaging your apps in Docker containers.By the end of this book, you’ll be equipped not only with technical skills but also with the confidence to apply them in real environments. Whether you're aiming for a promotion, switching jobs, or preparing for technical interviews, you'll have the skills and the language to present yourself as a capable, well-rounded .NET developer ready for anything the industry throws at you.
Domenico D'Errico
With AI revolutionizing financial markets, every trader will soon get easy access to AI models through free Python libraries and datasets, with all of them making the same trades! This behavior will modify prices and trading volumes, potentially altering future datasets, leading to major corporations investing heavily in technology, big data, and expert teams.However, individual traders need not be intimidated because this dynamic has been seen before whenever new technologies have entered the trading market. Written by a quantitative algorithmic trading developer with over 15 years of experience in the finance industry, this book will ground you by taking a rational approach to algorithmic trading, where EasyLanguage, datasets, charts, and AI are tools for your journey toward mastering the markets. Your unique human intelligence remains invaluable in navigating and understanding market complexities as you explore the realm of institutional insights, satisfying your hunger to learn real-world algorithmic trading applications from the institutional perspective.By the end of this book, you’ll be able to confidently apply TradeStation EasyLanguage to algorithmic trading, integrate machine learning to refine your strategies, and craft a personalized approach to confidently navigate the financial markets.
Train Your Own GPT. How to Train ChatGPT to Think Like You
MrExcel's Holy Macro! Books, Bill Jelen
This book offers a hands-on guide to building GPTs that learn, adapt, and respond in your unique style. It begins by breaking down how ChatGPT understands instructions, then guides readers through training personalized GPTs that automate tasks, create structured outputs, and integrate across business applications.Readers gain practical experience in linking GPTs with Excel, Power Automate, and APIs while exploring advanced memory, context, and action features. With clear guidance, examples, and exercises, the book bridges theory and application to make AI personalization achievable for any professional.By the end, readers can confidently design custom AI agents that extend beyond ChatGPT’s limits—capable of mirroring workflows, preferences, and communication style for real-world automation and creativity.
Mercury Learning and Information, Oswald Campesato
This book offers an in-depth exploration of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Beginning with foundational concepts like the attention mechanism and tokenization techniques, it delves into the intricacies of Transformer and BERT architectures. Advanced topics cover the latest developments in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the nuances of Transformer architecture, a detailed exploration of the BERT family, and hands-on guidance on working with GPT-3.The journey continues with a comprehensive overview of ChatGPT, GPT-4, and visualization using generative AI. The book also discusses influential AI organizations such as DeepMind, OpenAI, Cohere, and Hugging Face. Readers will gain a thorough understanding of the current landscape of NLP models, their underlying architectures, and practical applications.Companion files with numerous code samples and figures from the book enhance the learning experience, providing practical tools and resources. This book is an essential guide for those seeking to master the latest advancements in natural language processing and generative AI.
Mercury Learning and Information, Oswald Campesato
This book offers an in-depth exploration of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Beginning with foundational concepts like the attention mechanism and tokenization techniques, it delves into the intricacies of Transformer and BERT architectures. Advanced topics cover the latest developments in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the nuances of Transformer architecture, a detailed exploration of the BERT family, and hands-on guidance on working with GPT-3.The journey continues with a comprehensive overview of ChatGPT, GPT-4, and visualization using generative AI. The book also discusses influential AI organizations such as DeepMind, OpenAI, Cohere, and Hugging Face. Readers will gain a thorough understanding of the current landscape of NLP models, their underlying architectures, and practical applications.Companion files with numerous code samples and figures from the book enhance the learning experience, providing practical tools and resources. This book is an essential guide for those seeking to master the latest advancements in natural language processing and generative AI.
Denis Rothman
The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers.The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face.The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification.By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets.
Denis Rothman
Transformery zrewolucjonizowały przetwarzanie języka naturalnego, analizę obrazów i komputerowe widzenie. Oparte na transformerach duże modele generatywne dostępne za pośrednictwem systemu ChatGPT z GPT-4V w zadaniach przetwarzania tekstu i obrazów przewyższają wydajność człowieka. Aby uczestniczyć w tej nowej erze technologicznej, musisz zrozumieć, jak działają transformery. Tę książkę docenią praktycy: analitycy danych i inżynierowie uczenia maszynowego. Opisano w niej różne architektury transformerów - od pierwszych modeli podstawowych po najnowsze osiągnięcia w generatywnej sztucznej inteligencji. Dzięki lekturze nauczysz się wstępnego szkolenia i dostrajania modeli LLM, a także pracy nad różnymi przypadkami użycia. Poznasz takie problemy jak halucynacje i zagrożenia prywatności, a następnie dowiesz się, jak je łagodzić. W książce pokazano ponadto, jak poprawiać dokładność modeli LLM i uzyskiwać większą kontrolę nad generowanymi przez nie wynikami. Nie zabrakło ciekawych szczegółów dotyczących modeli generatywnych opartych na transformerach, modeli wizyjnych i architektur multimodalnych, jak również opisu najlepszych praktyk. Najciekawsze tematy: wstępne szkolenie i dostrajanie modeli LLM platformy: Hugging Face, OpenAI i Google Vertex AI tokenizery i najlepsze praktyki wstępnego przetwarzania danych językowych techniki łagodzenia halucynacji wizualizacja aktywności modeli transformerów z użyciem systemów BertViz, LIME i SHAP modele wizyjne i multimodalne oparte na transformerach: CLIP, DALL-E 2, DALL-E 3 i GPT-4V Sztuczna inteligencja, która widzi i mówi - przekonaj się, jak to działa!