Informatyka
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Avi Tsadok
Embark on a comprehensive iOS 18 development journey with Avi Tsadok, a veteran iOS developer and author of 4 books and over 40 tutorials and articles. A recognized public speaker, Avi has a knack for demystifying complex concepts and brings unparalleled expertise to the forefront of iOS 18 development education. This guide focuses on iOS 18 advancements, equipping developers with tools to maximize its potential.This book covers essential topics for seasoned developers, including Swift, SwiftUI, Xcode foundations, and the latest iOS SDK updates. You’ll get to grips with optimizing performance and understanding advanced architectural paradigms. By implementing the newest iOS updates, you’ll also explore intricate animation methods and harness a new framework, SwiftData that replaces Core Data for having persistent storage. The book builds your proficiency in advanced networking with URLSession and shows you how to conjure stunning visuals and adopt sophisticated testing techniques. You'll explore the world of machine learning with Apple’s Core ML diving into built-in frameworks like NLP, vision, and sound analysis to train and integrate your own models into iOS apps.By the end of the book, you'll possess skills to build exceptional apps, excel in advanced roles, and confidently tackle iOS development challenges.
Avi Tsadok
Embark on a comprehensive iOS 18 development journey with Avi Tsadok, a veteran iOS developer and author of 4 books and over 40 tutorials and articles. A recognized public speaker, Avi has a knack for demystifying complex concepts and brings unparalleled expertise to the forefront of iOS 18 development education. This guide focuses on iOS 18 advancements, equipping developers with tools to maximize its potential.This book covers essential topics for seasoned developers, including Swift, SwiftUI, Xcode foundations, and the latest iOS SDK updates. You’ll get to grips with optimizing performance and understanding advanced architectural paradigms. By implementing the newest iOS updates, you’ll also explore intricate animation methods and harness a new framework, SwiftData that replaces Core Data for having persistent storage. The book builds your proficiency in advanced networking with URLSession and shows you how to conjure stunning visuals and adopt sophisticated testing techniques. You'll explore the world of machine learning with Apple’s Core ML diving into built-in frameworks like NLP, vision, and sound analysis to train and integrate your own models into iOS apps.By the end of the book, you'll possess skills to build exceptional apps, excel in advanced roles, and confidently tackle iOS development challenges.
Mastering IPython 4.0. Complete guide to interactive and parallel computing using IPython 4.0
Thomas Bitterman, Dipanjan Deb
IPython is an interactive computational environment in which you can combine code execution, rich text, mathematics, plots, and rich media.This book will get IPython developers up to date with the latest advancements in IPython and dive deep into interactive computing with IPython. This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail. You will quickly brush up your knowledge of IPython kernels and wrapper kernels, then we'?ll move to advanced concepts such as testing, Sphinx, JS events, interactive work, and the ZMQ cluster. The book will cover topics such as IPython Console Lexer, advanced configuration, and third-party tools.By the end of this book, you will be able to use IPython for interactive and parallel computing in a high-performance computing environment.
Mastering Java for Data Science. Analytics and more for production-ready applications
Alexey Grigorev
Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises.Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort.This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data.Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings.
Mastering Java for Data Science. Analytics and more for production-ready applications
Alexey Grigorev
Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises.Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort.This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data.Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings.
Uday Kamath, Krishna Choppella
Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science.This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today.On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain.
Ved Antani
JavaScript is a high-level, dynamic, untyped, lightweight, and interpreted programming language. Along with HTML and CSS, it is one of the three essential technologies of World Wide Web content production, and is an open source and cross-platform technology. The majority of websites employ JavaScript, and it is well supported by all modern web browsers without plugins. However, the JavaScript landscape has changed dramatically in recent years, and you need to adapt to the new world of JavaScript that people now expect. Mastering modern JavaScript techniques and the toolchain are essential to develop web-scale applications. Mastering JavaScript will be your companion as you master JavaScript and build innovative web applications. To begin with, you will get familiarized with the language constructs and how to make code easy to organize. You will gain a concrete understanding of variable scoping, loops, and best practices on using types and data structures, as well as the coding style and recommended code organization patterns in JavaScript. The book will also teach you how to use arrays and objects as data structures. You will graduate from intermediate-level skills to advanced techniques as you come to understand crucial language concepts and design principles. You will learn about modern libraries and tools so you can write better code. By the end of the book, you will understand how reactive JavaScript is going to be the new paradigm.
Federico Kereki
Functional programming is a programming paradigm for developing software using functions. Learning to use functional programming is a good way to write more concise code, with greater concurrency and performance. The JavaScript language is particularly suited to functional programming. This book provides comprehensive coverage of the major topics in functional programming with JavaScript to produce shorter, clearer, and testable programs. You’ll delve into functional programming; including writing and testing pure functions, reducing side-effects, and other features to make your applications functional in nature. Specifically, we’ll explore techniques to simplify coding, apply recursion for loopless coding, learn ways to achieve immutability, implement design patterns, and work with data types.By the end of this book, you’ll have developed the JavaScript skills you need to program functional applications with confidence.
Andrea Chiarelli, Lyubomyr Rudko
ECMAScript 6 introduces several new Object-Oriented features that drastically change the way developers structure their projects. Web developers now have some advanced OOP functionality at their disposal to build large-scale applications in JavaScript.With this book, we'll provide you with a comprehensive overview of OOP principles in JavaScript and how they can be implemented to build sophisticated web applications. Kicking off with a subtle refresher on objects, we'll show you how easy it is to define objects with the new ES6 classes. From there, we'll fly you through some essential OOP principles, forming a base for you to get hands-on with encapsulation. You'll get to work with the different methods of inheritance and we'll show you how to avoid using inheritance with Duck Typing. From there, we'll move on to some advanced patterns for object creation and you'll get a strong idea of how to use interesting patterns to present data to users and to bind data. We'll use the famous promises to work with asynchronous processes and will give you some tips on how to organize your code effectively. You'll find out how to create robust code using SOLID principles and finally, we'll show you how to clearly define the goals of your application architecture to get better, smarter, and more effective coding. This book is your one-way ticket to becoming a JavaScript Jedi who can be counted on to deliver flexible and maintainable code.
Muzzamil Hussain
This book is for all the software and web engineers wanting to apply the promises paradigm to their next project and get the best outcome from it. This book also acts as a reference for the engineers who are already using promises in their projects and want to improve their current knowledge to reach the next level. To get the most benefit from this book, you should know basic programming concepts, have a familiarity with JavaScript, and a good understanding of HTML.