Название: Руководство для программиста на Java: 75 рекомендаций по написанию надежных и защищенных программ
Автор: Фрэд Лонг, Дхрув Мохиндра и др.
Издательство: М.: Вильямс
Год: 2014
Cтраниц: 256
Формат: pdf/djvu
Размер: 17 мб
Язык: русский

В этой книге представлены 75 рекомендаций в согласованной и понятной форме. Для каждой рекомендации указаны условия соответствия, приведены примеры кода, не соответствующего принятым нормам программирования на Java, а также представлены решения, соответствующие принятым нормам. Авторы книги доходчиво поясняют, когда именно следует применять каждую рекомендацию, а также дают ссылки на дополнительные источники информации.

Название: Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API (8th Early Release)
Автор: Jeroen Janssens, Thijs Nieuwdorp
Издательство: O’Reilly Media, Inc.
Год: 2024-12-03
Страниц: 406
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient data wrangling, ETL pipelines, and so much more. This book helps you quickly learn the syntax and understand Polars' underlying concepts. You don't need to have experience with Pandas or Spark, but if you do, this book will help you make a smooth transition.

Название: Financial Data Analysis Using Python
Автор: Dmytro Zherlitsyn
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 505
Язык: английский
Формат: pdf (true), epub
Размер: 38.9 MB

This book will introduce essential concepts in financial analysis methods & models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other Data Science tools will demonstrate these rooted financial concepts in practice examples. This book will also help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data.

Название: Серия "Библиотека программиста" (270 кн. + 10 code + 5CD)
Автор: разные
Издательство: Питер
Год: 1999-2024
Страниц: 1000+
Формат: pdf, djvu
Размер: 8 Гб
Язык: русский

Серия "Библиотека программиста" предназначена как для опытных мастеров своего дела, так и для тех, кто только приступил к изучению программирования... Библиотека программиста - неотъемлемая часть его работы. Ни одному представителю других профессий не приходится столько работать со справочным материалом. Удержать в голове всю массу необходимой информации просто не в человеческих силах. И это - о профессионалах, а что уж там говорить про новичков! Им учебники нужны.

Название: Data Analysis for Business Decisions: Case Studies in Excel, R, and ChatGPT, 3rd Edition
Автор: Andres Fortino
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 441
Язык: английский
Формат: pdf (true)
Размер: 23.4 MB

In today’s data-driven world, the ability to analyze and interpret data is no longer optional―it’s a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and Generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you’ll gain the skills to make data-backed decisions that drive business success. The book introduces a comprehensive suite of analysis tools that form the backbone of modern data analysis and statistical computing. Detailed instructions on how to install and use Excel’s Analysis ToolPak, R and its interface Jamovi, and Generative AI tools like ChatGPT are provided.

Название: Large Language Models for Developers: A Prompt-based Exploration
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 1047
Язык: английский
Формат: pdf (true), epub
Размер: 12.5 MB

This book offers a thorough exploration of Large Language Models (LLMs), guiding developers through the evolving landscape of generative AI and equipping them with the skills to utilize LLMs in practical applications. Designed for developers with a foundational understanding of machine learning, this book covers essential topics such as prompt engineering techniques, fine-tuning methods, attention mechanisms, and quantization strategies to optimize and deploy LLMs. Beginning with an introduction to Generative AI, the book explains distinctions between conversational AI and generative models like GPT-4 and BERT, laying the groundwork for prompt engineering (Chapters 2 and 3). Some of the LLMs that are used for generating completions to prompts include Llama-3.1 405B, Llama 3, GPT-4o, Claude 3, Google Gemini, and Meta AI. Readers learn the art of creating effective prompts, covering advanced methods like Chain of Thought (CoT) and Tree of Thought prompts. As the book progresses, it details fine-tuning techniques (Chapters 5 and 6), demonstrating how to customize LLMs for specific tasks through methods like LoRA and QLoRA, and includes Python code samples for hands-on learning.

Название: AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning (Early Release)
Автор: Laurence Moroney
Издательство: O’Reilly Media, Inc.
Год: 2025-01-21
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Eager to learn AI and Machine Learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed. From computer vision and natural language processing (NLP) to Generative AI with Hugging Face Transformers, this book equips you with the skills most in demand for AI development today. You'll also learn how to deploy your models across the web and cloud confidently. When it comes to creating Artificial Intelligence, Machine Learning and Deep Learning are a great place to begin. When getting started, however, it’s easy to get overwhelmed by the options and all the new terminology. This book aims to demystify things for programmers, taking you through writing code to implement concepts of Machine Learning and Deep Learning, and building models that behave more as a human does, with scenarios like computer vision, natural language processing, and more.

Название: Парсинг с помощью Python. Веб-скрапинг в действии. 3-е межд. изд.
Автор: Райан Митчелл
Издательство: Спринт Бук
Год: 2025
Страниц: 353
Язык: русский
Формат: pdf
Размер: 35.0 MB

Если программирование — магия, то веб-скрапинг — настоящее колдовство. Написав простую автоматизированную программу, можно отправлять запросы веб-серверам, получать ответы с данными, а затем анализировать эти данные и извлекать необходимую информацию. Это обновленное третье издание книги не только познакомит вас с веб-скрапингом, но и послужит исчерпывающим руководством по сбору практически любых видов данных в современном Интернете. В части I основное внимание уделено механике веб-скрапинга: как с помощью Python отправлять запросы веб-серверам, обрабатывать ответы и автоматизировать взаимодействие с сайтами. В части II исследуются более конкретные инструменты и приложения, которые пригодятся при любом сценарии веб-скрапинга.

Название: Haskell Programming: Pure Functional Language with Strong Typing for Advanced Data Manipulation and Concurrency
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: September 15, 2024
Страниц: 718
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Haskell Programming: Pure Functional Language with Strong Typing for Advanced Data Manipulation and Concurrency is your essential guide to mastering Haskell, a language celebrated for its purity, strong typing, and powerful capabilities. Whether you're new to functional programming or an experienced developer, this book will help you unlock the full potential of Haskell for sophisticated data manipulation and concurrent programming. At the heart of Haskell is the concept of purity. In functional programming, purity refers to the idea that functions should behave like mathematical functions: they always produce the same output given the same input and cause no side effects. This property simplifies reasoning about code, leading to more predictable and testable software. Throughout this book, you will see how Haskell’s commitment to purity leads to elegant solutions for complex problems, fostering code that is more modular, easier to debug, and naturally parallelizable. By embracing pure functions, Haskell enforces a discipline that drastically reduces bugs related to shared state, mutable data, or unintended side effects.

Название: Emerging Trends in Computer Science and Its Application
Автор: Anurag Tiwari, Manuj Darbari
Издательство: CRC Press
Год: 2024
Страниц: 663
Язык: английский
Формат: pdf (true)
Размер: 51.6 MB

The conference brought together a diverse group of scholars, researchers, and industry professionals to engage in meaningful discussions and share insights on cutting-edge trends in Artificial Intelligence (AI), Machine Learning, Data Science, and their multifaceted applications. This collaboration and knowledge exchange fostered an environment of innovation, making the conference a successful and impactful event for all participants. It aimed to highlight these significant advancements and serve as a valuable resource for researchers, academicians, and practitioners who wish to stay informed about the recent innovations and methodologies shaping the landscape of Computational Intelligence. By showcasing a wide range of research topics and practical implementations, it not only addressed the current challenges but also inspired new ideas and approaches for future research.