Книги по Big Data/DataScience

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concepts for developing simple programs and the fundamentals required for building machine learning models. The book covers basic concepts like data types, operators, and statements that enable the read...

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly use...

Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. You’ll learn by coding engaging hands-on projects that encourage you to apply what you’re learning immediately. Don’t be put off by Julia’s reputation as a scientific programming language—there’s no data science or numerical computing knowledge required. You can ge...

This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results.KEY FEATURES:How to use Python's built-in librar...

Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumP...

Are you looking to level up your data visualization skills in Python? Look no further! Introducing the ultimate guide to 101 visualizations using just one dataset. Whether you're a beginner or an experienced data scientist, this comprehensive guide will take you on a visual journey through various plotting techniques, insights, and patterns that can be explored with Python and a single dataset. In...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of these architectures to help data professionals understand the pros and cons of each.James Serra, big data and data warehousin...

Rather than presenting Python as Java or C, this textbook focuses on the essential Python programming skills for data scientists and advanced methods for big data analysts.Unlike conventional textbooks, it is based on Markdown and uses full-color printing and a code-centric approach to highlight the 3C principles in data science: creative design of data solutions, curiosity about the data lifecycl...

A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms.With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming-algorithms and data structures-remains the same.Absolute Beginner's Guide to Algorithmsis the...

Среди организаций, работающих с крупными объемами данных на регулярной основе, реляционная система управления базами данных MySQL стала популярным решением по обработке структурированных больших данных. В книге вы познакомитесь с тем, как администраторы баз данных могут использовать MySQL для обработки миллиардов записей и извлечения данных с производительностью, сравнимой или превосходящей коммер...

R – золотой стандарт, ежедневно используемый исследователями по всему миру для самых разных вычислений и статистического анализа данных. Этот свободно распространяемый язык с открытым исходным кодом включает огромное количество пакетов самой разной направленности, от расширенной визуализации данных до глубокого обучения. Чрезвычайно удобный для пользователей с математическим складом ума, R легко р...

Data Analysis with LLMs teaches you to use the new generation of AI assistants and Large Language Models (LLMs) to aid and accelerate common data science tasks.Learn how to use LLMs to:Analyze text, tables, images, and audio filesExtract information from multi-modal data lakesClassify, cluster, transform, and query multimodal dataBuild natural language query interfaces over structured data sources...

Наука о данных (Data Science, DS) на сегодняшний день формирует группу самых востребованных приложений ИТ в бизнесе.Пособие не только описывает методологии DS проекта, представляющие собою симбиоз предметных знаний разных областей и возможностей машинного обучения и искусственного интеллекта и поддерживающими их технологическими решениями, но и формирует базовое понимание научных основ этих решени...

Unlock the full potential of your programming expertise with "Mastering Data Structures and Algorithms with Python: Unlock the Secrets of Expert-Level Skills." This essential read transforms the way you approach computational problems, providing a comprehensive exploration of advanced data structures and algorithms. Designed for the seasoned programmer, this book dives deep into the intricacies of...

При работе любого корпоративного приложения образуются данные: файлы журналов, показатели, информация об активности пользователей, исходящие сообщения и другие. Правильное управление этими данными не менее важно, чем сами данные. Если вы архитектор, разработчик или инженер-технолог, но вы пока не знакомы с Apache Kafka, то из этой обновленной книги вы узнаете, как работать с потоковой платформой K...