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Python Data Science Handbook: Essential Tools for Working with Data
Добавил: bhaer / 20-03-2017, 01:08 /

Название: Python Data Science Handbook: Essential Tools for Working with Data
Автор: Jake VanderPlas
Издательство: O'Reilly Media
Год: 2016
Страниц: 672
Формат: PDF, EPUB
Размер: 24 Mb
Язык: English

The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?

This book is a reference for day-to-day Python-enabled data science, covering both the computational and statistical skills necessary to effectively work with . The discussion is augmented with frequent example applications, showing how the wide breadth of open source Python tools can be used together to analyze, manipulate, visualize, and learn from data.


ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШИМ СЮДА!





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