Programowanie
jQuery Design Patterns. Write Elegant, Structured and Efficient jQuery
Thodoris Greasidis
jQuery is a feature-rich JavaScript library that makes HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a variety of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.jQuery solves the problems of DOM manipulation, event detection, AJAX calls, element selection and document queries, element attribute and data management, as well as object management utilities. This book addresses these problems and shows you how to make the best of jQuery through the various design patterns available.The book starts off with a refresher to jQuery and will then take you through the different design patterns such as facade, observer, publisher/subscriber, and so on. We will also go into client-side templating techniques and libraries, as well as some plugin development patterns. Finally, we will look into some best practices that you can use to make the best of jQuery.
Dan Wellman
jQuery is used by millions of people to write JavaScript more easily and more quickly. It has become the standard tool for web developers and designers to add dynamic, interactive elements to their sites, smoothing out browser inconsistencies and reducing costly development time.jQuery Hotshot walks you step by step through 10 projects designed to familiarise you with the jQuery library and related technologies. Each project focuses on a particular subject or section of the API, but also looks at something related, like jQuery's official templates, or an HTML5 feature like localStorage. Build your knowledge of jQuery and related technologies.Learn a large swathe of the API, up to and including jQuery 1.9, by completing the ten individual projects covered in the book.Some of the projects that we'll work through over the course of this book include a drag-and-drop puzzle game, a browser extension, a multi-file drag-and-drop uploader, an infinite scroller, a sortable table, and a heat map.Learn which jQuery methods and techniques to use in which situations with jQuery Hotshots.
Raymond Camden, Andy Matthews
jQuery Mobile is a HTML5-based touch-optimized web framework. jQuery Mobile can be used to build responsive cross-platform websites and apps for a wide range of smartphones, tablets, and desktop devices. The jQuery Mobile framework can be integrated with other mobile app frameworks such as PhoneGap, IBM Worklight, and more.Introduction to jQuery Mobile explains how to add the framework to your HTML pages to create rich, mobile-optimized web pages with minimal effort. You’ll learn how to use jQuery Mobile’s automatic enhancements and configure the framework for customized, powerful mobile-friendly websites. We then dig into forms, events, and styling. You'll see how jQuery Mobile automatically enhances content, and will find out how to use the JavaScript API to build complex sites. We’ll introduce you to how jQuery Mobile can be themed as well looking into how JavaScript can be used for deep sets of customizations. The examples are ready to run and can be used to help kick-start your own site. Along the way, you will leverage all the concepts you learn to build three sample mobile applications.
Alex Libby, Dan Wellman
jQuery UI, the official UI widget library for jQuery, gives you a solid platform on which to build rich and engaging interfaces quickly, with maximum compatibility, stability, and effort. jQuery UI's ready-made widgets help to reduce the amount of code that you need to write to take a project from conception to completion. jQuery UI 1.10: The User Interface Library for jQuery has been specially revised for Version 1.10 of jQuery UI. It is written to maximize your experience with the library by breaking down each component and walking you through examples that progressively build up your knowledge, taking you from beginner to advanced user in a series of easy-to-follow steps. Throughout the book, you'll learn how to create a basic implementation of each component, then customize and configure the components to tailor them to your application.Each chapter will also show you the custom events fired by the components covered and how these events can be intercepted and acted upon to bring out the best of the library.We will then go on to cover the use of visually engaging, highly configurable user interface widgets. At the end of this book, we'll look at the functioning of all of the UI effects available in the jQuery UI library.
Bear Bibeault, Yehuda Katz, Aurelio De Rosa
Lekka biblioteka jQuery znacząco ułatwia kodowanie w JavaScripcie. Dzięki niej programiści nie muszą już ręcznie zarządzać obsługą selektorów CSS czy nawigacją w modelu DOM, a praca nad animacjami stała się o wiele łatwiejsza. Co ważne, projekt ten wciąż się rozwija: w bibliotece jQuery 3 dodano kolejne funkcje, które sprawiły, że praca projektanta aplikacji internetowych stała się bezproblemowa i efektywna. Okazuje się, że wobec rosnącego znaczenia JavaScriptu w tworzeniu aplikacji internetowych umiejętność posługiwania się jQuery staje się bardzo ważnym atutem na rynku pracy. Jeśli znasz choćby podstawy JavaScriptu i chciałbyś możliwie szybko nabrać biegłości w posługiwaniu się jQuery, trzymasz w dłoni książkę dla siebie. Dzięki temu zwięzłemu przewodnikowi nauczysz się płynnie realizować zadania, które pojawiają się niemal zawsze podczas tworzenia aplikacji internetowych. Dowiesz się, jak nawigować w obrębie modelu DOM, obsługiwać zdarzenia, tworzyć dodatki do jQuery i żądania Ajax, a nawet przeprowadzać testy jednostkowe kodu. Oczywiście, nie zabrakło tu rzeczywistych przykładów kodu, ilustrujących każde omawiane zagadnienie. Ponadto niniejsze wydanie rozbudowano o rozdziały, w których omówiono współdziałanie jQuery z innymi narzędziami i środowiskami, a także budowę nowoczesnych aplikacji z jedną stroną w środowisku Backbone.js. Dzięki tej książce poznasz: budowę, przeznaczenie i zasady funkcjonowania biblioteki jQuery nowe praktyczne możliwości biblioteki jQuery 3 model DOM i obsługę zdarzeń sposoby tworzenia animacji i inne efekty związane z szatą graficzną aplikacji technologię Ajax i podstawy jej obsługi sposoby na testy jednostkowe i poprawę wydajności kodu Poznaj jQuery, korzystaj z tej biblioteki i ciesz się nią! Bear Bibeault — programuje od ponad trzydziestu lat. Uzyskał dwa stopnie naukowe z dziedziny elektrotechniki, jest też współautorem licznych książek dotyczących programowania. Yehuda Katz — od wielu lat angażuje się w projekty związane z oprogramowaniem open source. Jest jednym z pierwszych twórców biblioteki jQuery oraz współtwórcą środowiska Ember.js. Aurelio De Rosa — jest doświadczonym projektantem aplikacji internetowych i członkiem zespołu rozwijającego bibliotekę jQuery. Tworzy oprogramowanie internetowe z wykorzystaniem stosu WAMP oraz języków HTML5, CSS3, Sass, JavaScript i PHP.
JSF 2.0 Cookbook: LITE. Converters, Validators, and Security
Anghel Leonard
Practical, hands-on “Cookbook” approach. Full of clear, step-by-step instructions that you can apply straight away. Written for people who want to get maximum results without lots of background and theory reading. JSF developers who want to work with validators, converters and security features of JSF. You don’t need any prior knowledge of JSF to use these recipes.
Ivo Balbaert, Adrian Salceanu
Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI).You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs.Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system.By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications.This Learning Path includes content from the following Packt products:• Julia 1.0 Programming - Second Edition by Ivo Balbaert• Julia Programming Projects by Adrian Salceanu
Bogumił Kamiński, Przemysław Szufel
Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia.By the end of the book, you will have acquired the skills to work more effectively with your data
Ivo Balbaert
The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Ivo Balbaert
The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.
Julia Cookbook. Over 40 recipes to get you up and running with programming using Julia
Jalem Raj Rohit
Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation.Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform.This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.
Julia High Performance. Design and develop high performing programs with Julia
Avik Sengupta
Julia is a high performance, high-level dynamic language designed to address the requirements of high-level numerical and scientific computing. Julia brings solutions to the complexities faced by developers while developing elegant and high performing code. Julia High Performance will take you on a journey to understand the performance characteristics of your Julia programs, and enables you to utilize the promise of near C levels of performance in Julia.You will learn to analyze and measure the performance of Julia code, understand how to avoid bottlenecks, and design your program for the highest possible performance. In this book, you will also see how Julia uses type information to achieve its performance goals, and how to use multuple dispatch to help the compiler to emit high performance machine code. Numbers and their arrays are obviously the key structures in scientific computing – you will see how Julia’s design makes them fast. The last chapter will give you a taste of Julia’s distributed computing capabilities.
Julia: High Performance Programming. Build powerful and fast systems with Julia
Ivo Balbaert, M E Sherrington, Avik Sengupta
In this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You’ll begin the journey by setting up a running Julia platform before exploring its various built-in types. We’ll then move on to the various functions and constructs in Julia. We’ll walk through the two important collection types—arrays and matrices in Julia.You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia’s design makes code fast, and you’ll see its distributed computing capabilities.By the end of this learning path, you will see how data works using simple statistics and analytics, and you’ll discover its high and dynamic performance—its real strength, which makes it particularly useful in highly intensive computing tasks. This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Julia by Ivo Balvaert? Julia High Performance by Avik Sengupta? Mastering Julia by Malcolm Sherrington
Christopher Pecoraro , Vincenzo Gambino
Jamstack (JavaScript, API, and Markup) enables web developers to create and publish modern and maintainable websites and web apps focused on speed, security, and accessibility by using tools such as Gatsby, Sanity, and Netlify. Developers working with Jamstack will be able to put their knowledge to good use with this practical guide to static site generation and content management. This Jamstack book takes a hands-on approach to implementation and related methodologies that will have you up and running with modern web development in no time.Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you'll begin by building an event and venue schema structure, and then expand the functionality, exploring all that the Jamstack has to offer. You’ll learn how an example Jamstack is built, build structured content using Sanity to create a schema, use GraphQL to expose the content, and employ Gatsby to build an event website using page and template components and Tailwind CSS Framework. Lastly, you’ll deploy the website to both, a Netlify server and the Microsoft Static Web Apps Service, and interact with it using Amazon Alexa.By the end of this book, you'll have gained the knowledge and skills you need to install, configure, build, extend, and deploy a simple events website using Jamstack.
Kafka w praktyce. Przetwarzanie strumieniowe i potoki danych o dużej skali. Wydanie II
Gwen Shapira, Todd Palino, Rajini Sivaram, Krit...
Każda aplikacja korporacyjna tworzy dane. Ich przenoszenie i przetwarzanie jest równie ważne jak same dane. Platforma Apache Kafka została zbudowana właśnie w tym celu: aby umożliwić płynną obsługę strumieni zdarzeń czasu rzeczywistego. Umożliwia to architektom nie tylko łączenie aplikacji z systemami danych, ale również budowanie niestandardowych aplikacji, które same w sobie wyzwalają strumienie danych. Okazuje się, że architektura skupiona wokół strumieni zdarzeń otwiera zupełnie nowy rozdział projektowania dużych systemów. Dzięki temu praktycznemu przewodnikowi komfortowo rozpoczniesz pracę z platformą streamingową Apache Kafka. Poznasz najlepsze praktyki w zakresie jej wdrażania i konfiguracji, aby zapewnić sobie możliwość strumieniowego przetwarzania dużych ilości danych. Zaznajomisz się z AdminClient API Kafki, mechanizmem transakcji i z nowymi funkcjonalnościami zabezpieczeń. W książce znajdziesz szczegółowe instrukcje, w jaki sposób wdrażać klastry produkcyjne Kafki, pisać niezawodne mikrousługi oparte na zdarzeniach i budować skalowalne aplikacje przetwarzania strumieniowego. Opisano w niej też gwarancje niezawodności, kluczowe interfejsy API i szczegóły architektury, w tym protokół replikacji, kontroler i warstwę pamięci masowej. Najciekawsze zagadnienia: wdrażanie i konfigurowanie Kafki w praktyce niezawodne dostarczanie danych budowanie potoków danych i aplikacji monitorowanie, dostrajanie i utrzymywanie działania Kafki w środowisku produkcyjnym wskaźniki pomiarów operacyjnych Kafki Kafka w systemach przetwarzania strumieniowego Kafka: gwarancja niezawodności korporacyjnych aplikacji!
Kanban Development in 30 days. Modern and efficient organization that delivers results
Tomas & Jannika Bjorkholm
Kanban is a simple and elegant Agile framework that helps to control and improve development processes. Originating in traditional 20th century manufacturing in Japan, Kanban has a renewed relevance today, being a crucial methodology in the world of software development. This book explores the key features of Kanban, and demonstrates how to put it into practice through exercises that will help you make the most of this unique approach to managing collaboration and production.Designed as a 30 day action plan, this book will help you understand and implement Kanban – and start seeing results – in a month. Analyze your current situation and define your goals and wider strategic aims, and begin developing a plan to help you and your team confidently work towards achieving them. Involve your team to drive cultural change, learn how to prioritize and organize tasks and projects to efficiently use your time and resources.Create your own value stream map to better understand your processes and identify improvement areas, and adapt and use the features tips and examples to overcome challenges you may face when implementing Kanban.Pick up this book and experience the full results of this vital Agile methodology – fast.
Keras 3. Comprehensive Insights into Keras for Deep Learning and AI Solutions
Rheinwerk Publishing, Inc, Mohammad Nauman
This book provides a comprehensive guide to mastering deep learning with Keras 3, starting from the fundamentals of machine learning and neural networks to advanced techniques in reinforcement learning, transformers, and generative AI. Readers will begin with understanding the core principles of machine learning, including supervised, unsupervised, and reinforcement learning. The book explains how neural networks function and how to build them using Keras, TensorFlow, and Python. You'll dive into critical topics such as convolutional neural networks (CNNs), dropout regularization, and gradient descent optimization. As you progress, you’ll learn advanced deep learning concepts like transfer learning, transformers, and the powerful Keras Functional API for building complex models. There’s a focus on practical applications, such as building and evaluating deep learning models for real-world tasks, and enhancing models using GPU acceleration. You'll also explore generative models, including autoencoders and GANs, and apply them to tasks like image generation and data augmentation. By the end of the book, you’ll be able to implement state-of-the-art AI models and deploy them in production environments.