Product Description
Title: Python Data Science Handbook. Essential Tools for Working with Data Volume:
Author(s): Jake VanderPlas
Year: 2016
Language: English Pages (biblio/tech): \548
Molting RESULT SPECIFICATION
Reproduction
Black WHITE
Paper B5 BOOKPAPER (STRONG CUIDER), LIGHT MATERIALS
Clear PRINTING (NICE)
Hardcover VolULUME
The Python data science Handbook provides a reference to the breadth of computational and statictical methods that are central to data-intensive science, research, and inventy. People with a programming background who wants to use Python effectively for science tasks will learn how to face a variety of problems:, how can I read this data 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 statictical 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.
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Product Specifications
Language | English |
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Cover Type | Hard Cover |