Computer Science

The intention is to guide the reader through the R landscape of 2020 and beyond. Features R as it is currently used Few prescriptive rules--mostly the author's preferences together with alternatives Explanation of the R grammar emphasizing the "R way of doing things" Tutoring for "programming in the small" using scripts The grammar of graphics and the grammar of data described as grammars Examples of data exchange between R and the foreign world using common file formats Coaching for becoming an independent R user, capable of both writing original code and solving future challenges What makes this book different from others: Tries to break the ice and help readers from all disciplines feel at home with R.

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code.

It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.

This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.

Reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code. It is designed to provide readers with an understanding of the reasoning behind machine learning algorithms as well as how to program them. Written for novice programmers, the book progresses step-by-step, providing the coding skills needed to implement machine learning algorithms in R.

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types.

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use.

Discover everything you need to know to get up-to-speed with JavaScript development and add dynamic enhancements to web pages. This completely updated third edition reveals how the code works and when to use closures, constants, and execution content. 

JavaScript is a complicated language with a lot of misinformation surrounding how it works. This book provides a comprehensive introduction to JavaScript, from how it works at a technical level to how it is used to create websites and applications. Everything you need to know to start a career in JavaScript development is covered here.

This book aims to cover the fundamentals of the language by providing a strong start for people who wish to start their journey to the JavaScript programming language. It provides the mandatory theoretical background, which is much needed for implementation of the exhaustive hands-on exercises and includes over 4000 lines of code for grasping a maximum understanding of the material.

Gain a deeper understanding of JavaScript and apply it to build small applications in backend, frontend, and mobile frameworks.

With this hands-on guide, youâ??ll learn how test and refactor your existing code to help reduce complexity, improve readability, and gain confidence in the codebase.

Get a grounding in polymorphism and other fundamental aspects of object-oriented program design and implementation, and learn a subset of design patterns that any practicing Java professional simply must know in today's job climate.  Java Program Design presents program design principles to help practicing programmers up their game and remain relevant in the face of changing trends and an evolving language. 

Embrace the future of software development! ChatGPT for Java is the perfect starting point for Java developers to learn how to build intelligent applications using ChatGPT and Open AI APIs. This book takes you from the ground up to demonstrate how to use ChatGPT programmatically. You will learn the basics of ChatGPT and OpenAI APIs, including how to authenticate, send prompts, generate responses, test in the Playground, and handle errors. Each chapter includes practical exercises which demonstrate different API functionalities and bring your concepts to life. You will learn how to AI-enable your own applications using models such as GPT-4, GPT-3.5, Whisper, DALL-E, and many more. 

Expand your knowledge of Java with this entertaining learning guide, which features 100+ exercises and programming challenges. Java Challenges will prepare you for your next exam or job interview, and covers many practical topics, such as strings, arrays, data structures, recursion, and date and time. The APIs and other material included in this book are Java 17 compatible.

With this practical book, Java software engineers looking to add data science skills will take a logical journey through the data science pipeline.

The second edition of Foundational Java: Key Elements and Practical Programming presents a detailed guide to the core features of Java - and some more recent innovations - enabling the reader to build their skills and confidence though tried-and-trusted stages, supported by exercises that reinforce the key learning points.

This book is designed to provide a thorough introduction to Java development for people who are relatively new to the Java programming language. It is intended to be a fast-paced introduction to the coreconcepts of Java and Java APIs, illustrated with code samples using primarily Java 8. Companion files with source code are available.

Functional Programming in Java teaches Java developers how to incorporate the most powerful benefits of functional programming into new and existing Java code. Written to meet the needs of professional Java developers who want to introduce functional programming principles into new and legacy projects, this book uses examples, exercises, and illustrations to teach core FP principles such as referential transparency, immutability, persistence, and laziness.

This book is an introduction to programming concepts that uses Python 3 as the target language.

Discover how to make the best use of decorator and generator functions Enhance speed and improve concurrency by conjuring tricks from the PyPy project Book Description This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries. You'll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You'll understand the implementation of collections, decimals, and fraction modules.

NLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. The book takes you from the basics of NLP to building text processing applications.

Written as an illustrated, step-by-step guide, this book will introduce you to Python with examples using the latest version of the language. 

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.