Algorytmy
Dr. Edward Lavieri Jr., Peter Verhas, Jason...
Java 9 and its new features add to the richness of the language; Java is one of the languages most used by developers to build robust software applications. Java 9 comes with a special emphasis on modularity with its integration with Jigsaw. This course is your one-stop guide to mastering the language.You'll be provided with an overview and explanation of the new features introduced in Java 9 and the importance of the new APIs and enhancements. Some new features of Java 9 are ground-breaking; if you are an experienced programmer, you will be able to make your enterprise applications leaner by learning these new features. You'll be provided with practical guidance in applying your newly acquired knowledge of Java 9 and further information on future developments of the Java platform. This course will improve your productivity, making your applications faster. Next, you'll go on to implement everything you've learned by building 10 cool projects. You will learn to build an email filter that separates spam messages from all your inboxes, a social media aggregator app that will help you efficiently track various feeds, and a microservice for a client/server note application, to name just a few.By the end of this course, you will be well acquainted with Java 9 features and able to build your own applications and projects.This Learning Path contains the best content from the following two recently published Packt products:• Mastering Java 9• Java 9 Programming Blueprints
Java 9 Data Structures and Algorithms. A step-by-step guide to data structures and algorithms
Debasish Ray Chawdhuri
Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9.We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we’ll take you through the basics of functional programming while making sure you get used to thinking recursively.We provide plenty of examples along the way to help you understand each concept. You will also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!
Mayur Ramgir, Nick Samoylov
Finally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications.We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase.By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java.
Java 9 Programming By Example. Your guide to software development
Peter Verhas
This book gets you started with essential software development easily and quickly, guiding you through Java’s different facets. By adopting this approach, you can bridge the gap between learning and doing immediately. You will learn the new features of Java 9 quickly and experience a simple and powerful approach to software development. You will be able to use the Java runtime tools, understand the Java environment, and create Java programs. We then cover more simple examples to build your foundation before diving to some complex data structure problems that will solidify your Java 9 skills. With a special focus on modularity and HTTP 2.0, this book will guide you to get employed as a top notch Java developer.By the end of the book, you will have a firm foundation to continue your journey towards becoming a professional Java developer.
Aristides Bouras
Begin your programming journey with a comprehensive course designed to introduce you to the world of Java and algorithmic thinking. The course starts by laying a solid foundation with an understanding of how computers work and an introduction to integrated development environments. As you advance, you'll delve into essential Java concepts, learning about variables, constants, and basic algorithmic concepts that are crucial for any aspiring programmer.Moving forward, the course offers a deep dive into more complex topics, including handling input and output, using operators, and creating trace tables. You'll get hands-on experience with Visual Studio Code and explore sequence control structures, manipulating numbers, and crafting complex mathematical expressions.In the final stages, the course covers advanced topics such as data structures, subprograms, and object-oriented programming. You'll learn to manipulate one-dimensional and two-dimensional arrays, work with HashMaps, and understand the intricacies of user-defined subprograms. The course concludes with a focus on file management and offers numerous tips and tricks to enhance your programming efficiency. By the end, you'll have a strong foundation in Java programming and algorithmic thinking, well-prepared to tackle more advanced challenges.
Komputer kwantowy. Programowanie, algorytmy, kod
Eric R. Johnston, Nicholas Harrigan, Mercedes Gimeno-Segovia
Komputery kwantowe nie są już tylko urządzeniami teoretycznymi. Nie są też futurystycznym monstrum, obcą maszyną, która zamieni całe istniejące oprogramowanie w jakąś jego niezrozumiałą alternatywę. Komputery kwantowe (QPU) staną się raczej radykalnym rozszerzeniem możliwości współczesnej informatyki, które pozwoli nam rozwiązać problemy dotychczas nierozwiązywalne. Istnieją ważne zadania, z którymi QPU potrafią sobie świetnie poradzić, a których rozwiązanie byłoby niemożliwe na jakimkolwiek standardowym urządzeniu komputerowym. Z drugiej strony z wieloma standardowymi obliczeniami QPU nie radzi sobie dużo lepiej niż najzwyklejszy laptop. Z punktu widzenia programisty zatem stanowi rodzaj koprocesora o ciekawych możliwościach. Oto przewodnik po wspaniałym, nieodkrytym jeszcze do końca świecie informatyki kwantowej. Aby ją zrozumieć, niepotrzebny jest doktorat z fizyki kwantowej i wyższej matematyki. Dzięki tej książce opanujesz zestaw pojęć niezbędnych do zrozumienia działania QPU, dowiesz się, jakie problemy mogą rozwiązać aplikacje QPU i nauczysz się korzystać z narzędzi do pisania programów dla QPU. Zaprezentowane tu koncepcje są bogato ilustrowane przykładami, które można łatwo uruchomić na darmowym symulatorze QCEngine. Istnieje też możliwość korzystania z fizycznych QPU (kilka prototypów QPU udostępniono w chmurze). Interesującą, choć nieco trudniejszą częścią przewodnika jest rozdział poświęcony zastosowaniu obliczeń kwantowych w uczeniu maszynowym. W tej książce: koncepcje programowania procesorów kwantowych kubity, superpozycja i teleportacje kwantowe prymitywy QPU wzmacnianie amplitudy, kwantowa transformacja Fouriera i szacowanie fazy przykłady aplikacji QPU QPU: zrób pierwszy krok ku technologii przyszłości!
Mercury Learning and Information, Oswald Campesato
This book provides a comprehensive overview of large language models (LLMs) and generative AI, covering foundational principles, advanced concepts, and practical applications. It begins with an introduction to the generative AI landscape, examining key features, popular techniques, and its influence on industries like art, business, and technology. The book also explores prominent models like ChatGPT and GPT-4, detailing their architectures, capabilities, and applications in text generation, code assistance, and conversational AI.Additionally, the book traces the evolution of LLMs, particularly focusing on the BERT family and its wide-ranging applications in natural language processing, translation, and multilingual tasks. Readers will also gain expertise in prompt engineering, learning practical tips and examples to interact more effectively with LLMs.In later chapters, the book tackles advanced topics such as fine-tuning LLMs, working with SVG, and concepts like few-shot learning and reinforcement learning. It concludes with discussions on ethical issues, biases in generative AI, and emerging trends like AI’s integration with IoT, quantum computing, and neuromorphic computing. This guide equips professionals and enthusiasts with a thorough understanding of generative AI's present and future.
Eric Traub
Learn Blockchain Programming with JavaScript begins by giving you a clear understanding of what blockchain technology is. You’ll then set up an environment to build your very own blockchain and you’ll add various functionalities to it. By adding functionalities to your blockchain such as the ability to mine new blocks, create transactions, and secure your blockchain through a proof-of-work you’ll gain an in-depth understanding of how blockchain technology functions.As you make your way through the chapters, you’ll learn how to build an API server to interact with your blockchain and how to host your blockchain on a decentralized network. You’ll also build a consensus algorithm and use it to verify data and keep the entire blockchain network synchronized. In the concluding chapters, you’ll finish building your blockchain prototype and gain a thorough understanding of why blockchain technology is so secure and valuable. By the end of this book, you'll understand how decentralized blockchain networks function and why decentralization is such an important feature for securing a blockchain.