Название: Python GPT Cookbook: 75+ practical recipes for building NLP solutions for the real world
Автор: Neil Williams
Издательство: BPB Publications
Год: 2025
Страниц: 512
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

GPT has redefined the landscape of AI, enabling the creation of powerful language models capable of diverse applications. The objective of the Python GPT Cookbook is to equip readers with practical recipes and foundational knowledge to build business solutions using GPT and Python. The book is divided into four parts. The first covers the basics, the second teaches the fundamentals of NLP, the third delves into applying GPT in various fields, and the fourth provides a conclusion. Each chapter includes recipes and practical insights to help readers deepen their understanding and apply the concepts presented. This cookbook approach delivers 78 practical recipes, including creating OpenAI accounts, utilizing playgrounds and API keys. You will learn text preprocessing, embeddings, fine-tuning, and GPT integration with Hugging Face. Learn to implement GPT using PyTorch and TensorFlow, convert models, and build authenticated actions. Applications include chatbots, email summarization, DBA copilots, and use cases in marketing, sales, IP, and manufacturing. The Python GPT Cookbook is for IT professionals and business innovators who already have basic Python skills.

Название: Cracking jаvascript Interview: The Most Popular Questions And Answers
Автор: Armen Melkumyan
Издательство: Independently published
Год: Dec 30, 2024
Страниц: 552
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

This book seeks to demystify jаvascript and guide you through the foundations, deep dives, and advanced concepts that are critical in today’s job market. While many resources cover frameworks and libraries, we’ve chosen a language-centric approach. By prioritizing core and advanced jаvascript topics, we aim to give you a thorough understanding of the language that forms the backbone of countless applications. Our goal is not just to teach you jаvascript concepts, but to prepare you for real-world interviews and coding challenges. Each chapter concludes with practical questions and coding puzzles so you can apply what you’ve learned and think on your feet vital skills for interviews that require both analytical problem-solving and clear communication of your thought process.

Название: Практическая криптография: алгоритмы и их программирование
Автор: Аграновский А.В., Хади Р.А.
Издательство: СОЛОН-Пресс
Год: 2016
Cтраниц: 255
Формат: pdf
Размер: 34 мб
Язык: русский

Эта книга предназначена прежде всего для тех, кто интересуется не только теоретическими аспектами криптологии, но и практическими реализациями алгоритмов криптографии и криптоанализа. В книге уделено очень много внимания вопросам компьютерного криптоанализа и логике программирования защищенных криптосистем. Книга изложена таким образом, что она будет полезной как для неподготовленного читателя, так и для высококвалифицированного специалиста, желающего расширить свой кругозор и по-новому взглянуть на криптографический аспект систем информационной защиты.

Название: Ansible by Examples: 200+ Automation Examples For Linux and Windows System Administrator and DevOps
Автор: Luca Berton
Издательство: Leanpub
Год: 2024-01-29
Страниц: 1665
Язык: английский
Формат: epub (true)
Размер: 23.8 MB

Ansible is an Open Source IT automation tool. This book contains all of the obvious and not-so-obvious best practices of Ansible automation. Every successful IT department needs automation nowadays for bare metal servers, virtual machines, could, containers, and edge computing. Automate your IT journey with Ansible automation technology. You are going to start with the installation of Ansible in Enterprise Linux, Community Linux, Windows, and macOS using the most command package manager and archives. Each of the 200+ lessons summarizes a module: from the most important parameter to some Ansible code and real-life usage. Each code is battle proved in the real life. Simplifying mundane activities like creating a text file, extracting and archiving, fetching a repository using HTTPS or SSH connections could be automated with some lines of code and these are only some of the long lists included in the course. There are some Ansible codes usable in all the Linux systems, some specific for RedHat-like, Debian-like, and Windows systems. The 20+ Ansible troubleshooting lesson teaches you how to read the error message, how to reproduce, and the process of troubleshooting and resolution.

Название: Boosting Software Development Using Machine Learning
Автор: Tirimula Rao Benala, Satchidananda Dehuri, Rajib Mall, Margarita N. Favorskaya
Издательство: Springer
Серия: Artificial Intelligence-Enhanced Software and Systems Engineering
Год: 2025
Страниц: 333
Язык: английский
Формат: pdf (true), epub
Размер: 25.2 MB

This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications. This book incorporates data-driven strategies across the entire software development life cycle, from requirements elicitation and design to coding, testing, and deployment. It illustrates the evolution from traditional frameworks to agile and DevOps methodologies. The potential of Generative AI for automating repetitive tasks and enhancing code quality is highlighted, along with ML applications in optimizing testing, effort estimation, design pattern recognition, fault prediction, debugging, and security through anomaly detection. These techniques have significantly improved software development efficiency, predictability, and project management effectiveness. While remarkable progress has been made, much remains to be done in this evolving area. This volume aims to serve as a valuable resource for academics, industry professionals, and students eager to deepen their understanding of AI-ML-enhanced software development practices by showcasing a broad range of theoretical foundations, practical applications, and empirical findings.

Название: Healthcare Recommender Systems: Techniques and Recent Developments
Автор: Simar Preet Singh, Deepak Kumar Jain, Johan Debayle
Издательство: Springer
Год: 2025
Страниц: 379
Язык: английский
Формат: pdf (true)
Размер: 20.5 MB

The book explores the complete system perspective, underlying theories, modelling, and the applications of pattern recognition in Healthcare Recommender System. Considering the interest of researchers and academicians, editors here aim to present this book in a multidimensional perspective that will be covering Healthcare Recommender Systems in depth, considering pattern recognition techniques using amalgamation of emerging technologies. Among these cutting-edge advancements, Healthcare Recommender Systems have emerged as powerful tools, poised to transform the healthcare landscape by providing personalized and evidence-based recommendations to patients, clinicians, and healthcare providers. Leveraging the competences of Machine Learning (ML) procedures, Big Data analytics, and patient-specific information, these systems hold the promise of improving patient outcomes, enhancing clinical decision-making, and optimizing healthcare resource allocation. The suggested system is constructed using IPFS for off-chain storage, permissioned Hyperledger Fabric, Blockchain, and Hyperledger Composer. A web user interface built using Python, HTML, CSS, Node JS, Kafka Ordering Service, Keras, and TensorFlow Backend has been used for the entire implementation process.

Название: The Complete Guide To Data Science And Analytics With Python: Mastering Data Processing, Modeling, Analysis, Visualization, Manipulation, And Decision-Making
Автор: Joseph G. Derek
Издательство: Independently published
Серия: Python programming languages: How to learn Python programming language
Год: 2025
Страниц: 660
Язык: английский
Формат: epub
Размер: 10.1 MB

Elevate your data skills with The Complete Guide to Data Science and Analytics with Python! This essential resource empowers you to master every facet of Data Science—from processing and modeling to analysis, visualization, and decision-making. In today’s data-driven world, businesses are inundated with vast amounts of information. Yet, many professionals struggle to turn this data into actionable insights. The gap between data collection and effective analysis often leads to missed opportunities and stagnant growth. Without the right skills, navigating this complex landscape can be overwhelming. Enter Python—a powerful, versatile programming language that has become the go-to tool for data scientists. This book provides a comprehensive guide to mastering Python specifically for Data Science, equipping you with the knowledge and skills to transform raw data into meaningful decisions.

Название: Modeling Complex Processes Through Nature-Analogous Methods: Artificial Intelligence and Artificial Life
Автор: Christina Klüver, Jürgen Klüver, Jörn Schmidt
Издательство: Springer
Год: 2025
Страниц: 374
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

This book is an introduction to nature-analogous techniques and related formal methods. For each technique, application examples are provided. It covers cellular automata and Boolean networks, evolutionary algorithms, as well as simulated annealing, fuzzy methods, neural networks, and finally hybrid systems, i.e., combinations of various techniques. Based on the theory of complex dynamic systems, theoretical foundations are also presented, and the similarities of these seemingly very heterogeneous techniques are pointed out. The edition has been revised and expanded with current trends such as ChatGPT. The current developments under the umbrella term “Artificial Intelligence” are rapid and hardly manageable. While the (hybrid) models we described were a rarity a few years ago, they are now a matter of course. The coupling of methods from Artificial Intelligence (AI), Artificial Life (AL), and Machine Learning (ML) as well as Deep Learning (DL) is currently too diverse to capture the increasing complexity or to process the large amounts of data.

Название: Python for Financial Modeling: Practical Techniques from Data Analysis to Deep Learning
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1956
Язык: английский
Формат: epub (true)
Размер: 18.3 MB

This comprehensive guide bridges the worlds of finance and Data Science, providing financial professionals with practical Python techniques for modern quantitative analysis. From data acquisition and preprocessing to advanced Machine Learning models, readers will learn how to implement powerful financial modeling tools using Python's robust ecosystem. The book covers essential topics including time series analysis, portfolio optimization, risk assessment, algorithmic trading strategies, and Deep Learning applications in finance. With a hands-on approach, readers will master libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow while building real-world financial models. Whether you're a financial analyst, quantitative researcher, or aspiring data scientist, this book provides the practical skills needed to leverage Python's capabilities for data-driven financial decision-making. Each chapter includes executable code examples, case studies, and best practices to help readers immediately apply these techniques to their own financial projects.

Название: Mastering Asynchronous C++: Modern Techniques for High-Performance Concurrent Programming
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 2150
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Mastering Asynchronous C++: Modern Techniques for High-Performance Concurrent Programming is the definitive guide for C++ developers seeking to harness the full power of modern asynchronous programming. This comprehensive resource covers cutting-edge C++20, C++23, and emerging C++26 features including coroutines, std::execution framework, and structured concurrency patterns. The book progresses from fundamental concepts like memory models and atomic operations to advanced topics such as custom executors, sender/receiver patterns, and production deployment strategies. You'll master essential libraries including Boost.Asio for network programming, explore real-world applications from high-frequency trading to game engines, and learn performance optimization techniques for multi-core systems. Each chapter combines theoretical foundations with practical implementations, featuring detailed code examples and performance analysis. The book emphasizes modern C++ best practices, RAII principles, and exception safety in concurrent contexts.