Название: BDD in Action, 2nd Edition (Final Release)
Автор: John Ferguson Smart, Jan Molak
Издательство: Manning Publications
Год: 2023
Страниц: 490
Язык: английский
Формат: pdf (true)
Размер: 22.0 MB

Deliver software that does what it’s supposed to do! Behavior-Driven Development guides your software projects to success with collaboration, communication techniques, and concrete requirements you can turn into automated tests. Around half of all software projects fail to deliver on requirements. Behavior-Driven Development (BDD) helps make sure that yours isn’t one of them. Behavior-Driven Development in Action, Second Edition teaches you how to ensure that everyone involved in a software project—from developers to non-technical stakeholders—are in agreement on goals and objectives. It lays out the communication skills, collaborative practices, and useful automation tools that will let you seamlessly succeed with BDD. For all development teams. No experience with BDD required. Examples in Java, jаvascript, and TypeScript can be easily expressed in your chosen language.

Название: Усовершенствованные структуры данных
Автор: Петер Брасс
Издательство: ДМК Пресс
Год: 2023
Страниц: 428
Язык: русский
Формат: pdf
Размер: 11.9 MB

Структура данных (англ. data structure) — программная единица, позволяющая хранить и обрабатывать однотипные и/или логически связанные данные. Для добавления, поиска, изменения и удаления данных структура данных предоставляет некоторый набор функций, составляющих её интерфейс. В книге приводится всесторонний анализ идей и деталей реализации структур данных как важнейшей составляющей прикладных алгоритмов. Обсуждаются не только эффективные способы реализации операций над множествами чисел, интервалов или строк, представленных в виде различных поисковых структур данных – деревьев, множеств интервалов, кусочно-постоянных функций, прямоугольных областей, непересекающихся подмножеств, куч, хеш-таблиц, но и динамизация и персистентность (сохраняемость) структур. Структуры данных впервые рассматриваются не просто как вспомогательный материал для иллюстрации методологии объектно ориентированного программирования, а как ключевой вопрос разработки алгоритмов. Многочисленные примеры кода на языке C и более 500 ссылок на первоисточники делают книгу исключительно ценной.

Название: Conceptualizing Python in Google COLAB: Hands-on Practical Sessions
Автор: Poornima G. Naik, Girish R. Naik, M.B. Patil
Издательство: Shashwat Publication
Год: 2021
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 12.9 MB

This book can serve as textbook for post graduates and reference for any computer graduate. It will also provide easy reference for Computer Professionals who wants to begin their career in Machine Learning using Python. Colaboratory, or ‘Colab’ for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to Machine Learning (ML), data analysis and education. If you are exploring Machine Learning but struggling to conduct simulations on enormous datasets, or an expert playing with ML desperate for extra computational power, Google Colab is the perfect solution for you. Google Colab or ‘the Colaboratory’ is a free cloud service hosted by Google to encourage Machine Learning and Artificial Intelligence research, where often the barrier to learning and success is the requirement of tremendous computational power.

Название: CompTIA ITF+ CertMike: Prepare. Practice. Pass the Test! Get Certified!: Exam FC0-U61
Автор: Mike Chapple
Издательство: Sybex
Год: 2023
Страниц: 371
Язык: английский
Формат: pdf (true)
Размер: 50.4 MB

The leading, no-nonsense guide to get you up to speed on the fundamentals of IT. In CompTIA ITF+ CertMike: Prepare. Practice. Pass the Exam! Get Certified! Exam FC0-U61, experienced tech education guru Mike Chapple delivers an essential and efficient guide to acing the ITF+ (IT Fundamentals+) exam administered by CompTIA. In the book, you’ll get access to every objective tested by the foundational exam, including IT concepts and terminology, infrastructure, applications and software, software development, database fundamentals, and security. IT Concepts and Terminology is the first domain of CompTIA’s ITF+ exam. It provides the foundational knowledge that anyone in information technology needs to understand as they begin their careers. Interpreted languages are executed from source code using an interpreter. Interpreted languages may be either scripting languages (such as Perl, R, Python, Ruby, jаvascript, and VBScript) or markup languages (such as HTML and XML). Compiled languages use a compiler to convert source code into executable machine language. Compiled languages include C, C++, Java, Go, Julia, and FORTRAN. Structured Query Language (SQL) is used to interact with relational databases. Assembly language is written to work on a specific hardware processor.

Название: Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them
Автор: Ram Shankar Siva Kumar, Hyrum Anderson
Издательство: Wiley
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true), epub
Размер: 17.2 MB

A robust and engaging account of the single greatest threat faced by AI and ML systems. In Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them, a team of distinguished adversarial Machine Learning researchers deliver a riveting account of the most significant risk to currently deployed Artificial Intelligence systems: cybersecurity threats. The authors take you on a sweeping tour – from inside secretive government organizations to academic workshops at ski chalets to Google’s cafeteria – recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes. Based on hundreds of interviews of academic researchers, policy makers, business leaders and national security experts, the authors compile the complex science of attacking AI systems with color and flourish and provide a front row seat to those who championed this change. Grounded in real world examples of previous attacks, you will learn how adversaries can upend the reliability of otherwise robust AI systems with straightforward exploits.

Название: Beginning Azure DevOps: Planning, Building, Testing, and Releasing Software Applications on Azure
Автор: Adora Nwodo
Издательство: Wiley
Год: 2023
Страниц: 252
Язык: английский
Формат: pdf (true)
Размер: 19.3 MB

The perfect DevOps guide for beginning Azure users. In Beginning Azure DevOps: Planning, Building, Testing and Releasing Software Applications on Azure, award-winning software engineer Adora Nwodo delivers a beginner's guide to DevOps on the Microsoft-powered Azure cloud platform. In the book, you'll learn to deploy Azure's built-in DevOps tools required to plan, build, test, and ship applications. The author explains how to use Azure's functionality for project management, version control, code testing, and continuous integration and continuous delivery (CI/CD). She discusses how to plan software development projects from start to finish using Agile and Scrum techniques.

Название: jаvascript All-in-One For Dummies
Автор: Chris Minnick
Издательство: For Dummies
Год: 2023
Страниц: 819
Язык: английский
Формат: pdf (true)
Размер: 23.5 MB

A developer's resource to learning one of the most-used scripting languages. jаvascript All-in-One For Dummies saves you shelf space by offering a complete introduction to jаvascript and how it's used in the real world. This book serves up jаvascript coding basics before diving into the libraries, frameworks, and runtime environments new and experienced coders need to know. Start by learning the basics of jаvascript—anyone can do it, even if you've never written code before. Then go into the details of today's hottest frameworks—React.js, Vue.js, Svelte, and Node.js. Cozy up and learn some jаvascript! This is the go-to Dummies guide for future and current coders who need an all-inclusive guide jаvascript.

Название: Blue Fox: ARM Assembly Internals and Reverse Engineering
Автор: Maria Markstedter
Издательство: Wiley
Год: 2023
Страниц: 476
Язык: английский
Формат: pdf (true)
Размер: 14.4 MB

Provides readers with a solid foundation in Arm assembly internals and reverse-engineering fundamentals as the basis for analyzing and securing billions of ARM devices. Finding and mitigating security vulnerabilities in ARM devices is the next critical internet security frontier—Arm processors are already in use by more than 90% of all mobile devices, billions of Internet of Things (IoT) devices, and a growing number of current laptops from companies including Microsoft, Lenovo, and Apple. Written by a leading expert on Arm security, Blue Fox: Arm Assembly Internals and Reverse Engineering introduces readers to modern Armv8-A instruction sets and the process of reverse-engineering ARM binaries for security research and defensive purposes. Divided into two sections, the book first provides an overview of the ELF file format and OS internals, followed by Arm architecture fundamentals, and a deep-dive into the A32 and A64 instruction sets. Section Two delves into the process of reverse-engineering itself: setting up an Arm environment, an introduction to static and dynamic analysis tools, and the process of extracting and emulating firmware for analysis. The last chapter provides the reader a glimpse into macOS malware analysis of binaries compiled for the Arm-based M1 SoC. Throughout the book, the reader is given an extensive understanding of Arm instructions and control-flow patterns essential for reverse engineering software compiled for the ARM architecture. Providing an in-depth introduction into reverse-engineering for engineers and security researchers alike, this book: Blue Fox: ARM Assembly Internals and Reverse Engineering is a vital resource for security researchers and reverse engineers who analyze software applications for ARM-based devices at the assembly level.

Название: Responsible Graph Neural Networks
Автор: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash
Издательство: CRC Press
Год: 2023
Страниц: 324
Язык: английский
Формат: pdf (true)
Размер: 10.29 MB

More frequent and complex cyber threats require robust, automated, and rapid responses from cyber-security specialists. This book offers a complete study in the area of graph learning in cyber, emphasizing graph neural networks (GNNs) and their cyber-security applications. Three parts examine the basics, methods and practices, and advanced topics. The first part presents a grounding in graph data structures and graph embedding and gives a taxonomic view of GNNs and cyber-security applications. The second part explains three different categories of graph learning, including deterministic, generative, and reinforcement learning and how they can be used for developing cyber defense models. The discussion of each category covers the applicability of simple and complex graphs, scalability, representative algorithms, and technical details. To get you up and running for the hands-on learning experience, we need to set you up with an environment for running Python, Jupyter notebooks, the relevant libraries, and the code needed to run the book itself. The simplest way to get going will be to install Anaconda Framework. The Python 3.x version is required.

Название: From Data to Trade: A Machine Learning Approach to Quantitative Trading
Автор: Gautier Marti
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf (true)
Размер: 14.2 MB

Machine Learning has revolutionized the field of quantitative trading, enabling traders to develop and implement sophisticated trading strategies that leverage large amounts of data and advanced modeling techniques. In this book, we provide a comprehensive overview of Machine Learning for quantitative trading, covering the fundamental concepts, techniques, and applications of Machine Learning in the financial industry. We start by introducing the key concepts and challenges of Machine Learning for quantitative trading, including feature engineering, model selection, and backtesting. We then delve into the various Machine Learning approaches that are commonly used in quantitative trading, including supervised learning, unsupervised learning, and reinforcement learning.