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Название: Principles of Data Structures Using C and C++
Автор: Julio Martell
Издательство: Independently published
Год: 2024
Страниц: 977
Язык: английский
Формат: epub
Размер: 10.1 MB

"Principles of Data Structures Using C and C++" provides a comprehensive exploration of essential data structures and algorithms, tailored for both beginners and experienced programmers. This book bridges theory and practical application, offering clear explanations and hands-on examples in both C and C++. Readers will learn to: •Understand fundamental data structures, including arrays, linked lists, stacks, queues, trees, and graphs; •Implement various algorithms for sorting, searching, and manipulating data efficiently; •Analyze the time and space complexity of algorithms to optimize performance; •Utilize object-oriented programming principles in C++ to create robust data structures; •Gain practical experience through coding exercises and real-world applications. Whether you're a student seeking to master the principles of data structures or a professional looking to enhance your programming skills, this book serves as an invaluable resource for understanding how to effectively organize and manage data in software development.

Название: Fundamentals of Software Engineering: From Coder to Engineer (Fourth Early Release)
Автор: Nathaniel Schutta, Dan Vega
Издательство: O’Reilly Media, Inc.
Год: 2024-09-19
Язык: английский
Формат: epub
Размер: 10.1 MB

What do you need to know to move from developer to senior engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your success as a software engineer. With this practical book, you'll learn the skills you need to succeed and thrive. Authors Nathaniel Schutta and Jakub Pilimon guide your journey with pointers to deep dives into specific topic areas. To understand the skills that really matter as a software engineer, this is the guide you'll want to read the first week at your first job. It also serves as a handy reminder when you move to a new organization or to a new position in your current organization. Ultimately, this book is targeted at new developers, and we wrote it with them foremost in our minds. We hope this book will show you the full picture of what it means to be more than a “coder”, to evolve into a software engineer and, more importantly, to help your career advancement. But it isn’t just newly minted developers who benefit from mastering the fundamentals. This book will also help more seasoned developers advance beyond their first job and grow their career to a senior role.

Название: Homomorphic Encryption for Data Science (HE4DS)
Автор: Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Издательство: Springer
Год: 2024
Страниц: 311
Язык: английский
Формат: pdf (true), epub
Размер: 34.0 MB

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The authors present various techniques to leverage the unique features of FHE and to overcome its characteristic limitations. Homomorphic encryption (HE) is a cryptographic primitive that provides unique security guarantees in the privacy enhancing technologies (PETs) ecosystem. HE is a special type of encryption that allows computations to be performed on encrypted data. For example, it enables additions, multiplications, or both on ciphertexts, where the resulting ciphertext can be decrypted to have the same value as if the mathematical operations were performed directly on the encrypted data. This property is called homomorphism, hence the name of the HE primitive. This book aims to simplify the FHE world for those who are interested in privacy preserving Data Science tasks, and for an audience that does not necessarily have a deep cryptographic background, including undergraduate and graduate-level students in Computer Science, and data scientists who plan to work on private data and models.

Название: AI Literacy Fundamentals
Автор: Ben Jones
Издательство: Data Literacy Press
Год: 2024
Страниц: 240
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Feeling overwhelmed by AI? It's not you—it's the breakneck speed of technological progress. To quickly get into the AI conversation, you need a clear and simple foundation of knowledge to build on. This book is a friendly primer on the basic concepts of AI, how it's already snuck into our daily lives, and what we need to know to prepare for the future. Machine Learning (ML) is an umbrella term describing the study and use of different types of statistical algorithms that we can apply to data sets in order to learn from the patterns in those data sets how to accomplish specific tasks. When we apply a Machine Learning algorithm to a data set to learn its patterns, we say that we are training a model. Deep Learning is a special branch of Machine Learning that involves a specific family of artificial neural networks: deep neural networks (DNN). DNNs have changed the world of AI, and in so doing they have changed the world we live in. Any neural network that contains two or more hidden layers is considered a deep neural network. Unsurprisingly, then, a neural network with a single hidden layer is sometimes referred to as a shallow neural network. Furthermore, the number of hidden layers corresponds to the depth of the deep neural network. To wrap up our own study of Deep Learning and neural networks, I’d like to instead consider a few different types of deep neural networks that have led to breakthrough capabilities in the fields of computer vision and natural language processing. The first type is the convolutional neural network (CNN), sometimes called the ConvNet.

Название: Just Enough Data Science and Machine Learning: Essential Tools and Techniques
Автор: Mark Levene, Martyn Harris
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2025
Страниц: 224
Язык: английский
Формат: epub
Размер: 10.1 MB

An accessible introduction to applied Data Science and Machine Learning, with minimal math and code required to master the foundational and technical aspects of Data Science. In Just Enough Data Science and Machine Learning, authors Mark Levene and Martyn Harris present a comprehensive and accessible introduction to Data Science. It allows the readers to develop an intuition behind the methods adopted in both Data Science and Machine Learning, which is the algorithmic component of Data Science involving the discovery of patterns from input data. This book looks at Data Science from an applied perspective, where emphasis is placed on the algorithmic aspects of Data Science and on the fundamental statistical concepts necessary to understand the subject. The book begins by exploring the nature of Data Science and its origins in basic statistics. The authors then guide readers through the essential steps of Data Science, starting with exploratory data analysis using visualisation tools. The book is packed with practical examples and real-world data sets throughout to reinforce the concepts. All examples are supported by Python code external to the reading material to keep the book timeless.

Название: Building a Debugger (Early Access)
Автор: Sy Brand
Издательство: No Starch Press
Год: 2025
Страниц: 738
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

Master the inner workings of your x64 Linux system and expand your OS expertise by writing your very own debugger using C++. If debuggers seem like magic to you, there is no better way to demystify them than to write your own. This book will show you exactly how to do it, walking you through the entire process of building a debugger for x64 Linux systems using C++. As go from an empty filesystem folder to a fully fledged debugger capable of setting breakpoints, stepping through code, manipulating variables, and more. As you add features to your debugger, you’ll also pick up a wealth of knowledge about operating systems, compilers, software testing, and low-level programming that you can use in your day-to-day development. In this book, we’re particularly concerned with debuggers for compiled code that runs directly on your central processing unit (CPU), written in a language like C, C++, Rust, or FORTRAN. Debuggers for these programs need to interface directly with the operating system and the underlying hardware, which can lead us to some deep insights into how computers actually work. What Will We Build? Over the course of this book, we’ll build a command line debugger for native code. I’ll call the debugger sdb, for Sy’s Debugger, but you can call yours whatever you like.

Название: Data Structures and Algorithms in jаvascript (Early Access)
Автор: Federico Kereki
Издательство: No Starch Press
Год: 07/25/24
Страниц: 562
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Think you know jаvascript? Think again. This isn’t your typical coding book—it’s a deep dive into the powerful world of data structures and algorithms that will transform the way you approach problem solving in jаvascript. Whether you’re a frontend developer tackling complex applications, a backend engineer building scalable systems, or a programmer preparing for technical interviews, this book will revolutionize the way you code. Each chapter is carefully crafted with clear, no-nonsense explanations of complex concepts, real-world coding examples, and challenging questions (with answers at the end) to reinforce your understanding. This book is geared toward three groups of readers. The first and main group is JS frontend (web) and backend (Node.js) developers, as it explores how we can apply data structures and algorithms to solve and optimize complex problems. The second group of readers is computer science (CS) students, as the book covers topics that appear in most CS courses. These students should be familiar with several programming languages, so the JS focus shouldn’t be a hindrance. The algorithms don’t heavily depend on aspects of the language and can be translated into other languages with little difficulty. Finally, the third group of readers includes programmers who are preparing for coding interviews or are interested in competitive programming.

Название: PHP Crash Course: The Complete, Modern, Hands-On Guide (Early Access)
Автор: Matt Smith
Издательство: No Starch Press
Год: 08/19/24
Страниц: 692
Язык: английский
Формат: pdf (true)
Размер: 17.9 MB

This book will take you from beginner-level to professional PHP programming, through hundreds of in-depth examples and hands-on exercises. You’ll explore best practices for developing fast, secure, and easy-to-maintain websites, while establishing a broad foundation of programming knowledge and experience. PHP is one of the engines that drive the internet: it plays a role both in what the user sees on web pages and in what happens behind the scenes, such as processing form submissions, talking to other websites, and interacting with databases. PHP is currently in its eighth major version, so as well as being tried and tested, it’s faster and more secure than ever before. It’s a free, open source, and well-maintained language. While other popular web programming languages are available, about 70 percent of the web is run by PHP programs, including Etsy, Facebook (using its dialect of PHP, called Hack), Spotify, Wikipedia, and WordPress. PHP also has a relatively shallow learning curve. We’ll start off with just a few lines of code, and once you’re comfortable with the basics, we’ll move on to larger, more structured web application systems.

Название: Applications of Deep Machine Learning in Future Energy Systems
Автор: Mohammad-Hassan Khooban
Издательство: Elsevier
Год: 2024
Страниц: 336
Язык: английский
Формат: pdf (true), epub
Размер: 35.8 MB

Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artificial Intelligence (AI) techniques to present deep machine learning suitable for the complexity of sustainable energy systems. The first two chapters take the reader through the latest trends in power engineering and system design and operation, before laying out the current AI approaches and our outstanding limitations. Later chapters provide in-depth accounts of specific challenges and the use of innovative third-generation machine learning, including neuromorphic computing, to resolve issues from security to power supply. An essential tool for the management, control, and modelling of future energy systems, Applications of Deep Machine Learning maps a practical path towards AI capable of supporting sustainable energy.

Название: Math for Programming (Early Access)
Автор: Ronald T. Kneusel
Издательство: No Starch Press
Год: 2025
Страниц: 498
Язык: английский
Формат: pdf (true)
Размер: 16.1 MB

A one-stop-shop for all the math you should have learned for your programming career.Math for Programming summarizes all the core math topics a typical professional software engineer needs to know. The book condenses the various mathematics concepts covered in an undergraduate computer science program into a single volume, providing a starting point for independent study or a refresher for those who are some years removed from the classroom. The book first covers preliminary subjects like number representation systems, set theory, and Boolean algebra. Then it dives into the field of discrete mathematics, including functions, induction proofs, number theory, combinatorics, graphs, and trees. The book also examines essential topics in probability, statistics, linear algebra, and calculus. Rather than confine itself to abstract theory, the book focuses on practical application and numerical methods at the level typically encountered by working developers. Hands-on code examples in Python and C also make the topics concrete. Brush up on all the math you should have learned and level-up your career today.