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Python Data Science Handbook: Essential Tools for Working with Data

by Jake VanderPlas
RM44.00 MYR
Compare to estimated retail price: RM286.00 MYR  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook: Essential Tools for Working with Data

Practical Python toolkit for real-world data work

If you already know some Python and want to actually do data science, this book feels like having a reliable expert at your elbow. It brings together the core libraries in one place and shows how they fit into everyday tasks like cleaning data, plotting results, and building models. Readers often love it because it is hands-on, comprehensive, and incredibly useful as both a learning guide and a long-term reference.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Just Arrived

Python Data Science Handbook: Essential Tools for Working with Data

by Jake VanderPlas
RM44.00 MYR
Compare to estimated retail price: RM286.00 MYR  

The item you've got your eye on is secondhand. You probably already know that, but just in case!

The estimated retail price shown next to any listed item represents the first-hand prices we've seen elsewhere, or the estimated original retail price of a comparable item of the same quality, construction and material offered elsewhere in new condition.

Condition guide

Book Condition Guide

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This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

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*Books may be missing bundle media (e.g. CD, e-book code), if included.

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*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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ISBN: 9781491912058
Authors: Jake VanderPlas
Publisher: O'Reilly Media
Date of Publication: 2017-01-03
Format: Paperback
Related Collections: Science
Related Topics: Education, Mathematics, Computers
Goodreads rating: 4.3
(rated by 677 readers)

Description

For many researchers, Python is a first-class tool thanks to its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but the Python Data Science Handbook brings them together—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data practitioners familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day data manipulation, transformation, and cleaning, visualizing different types of data, and using data to build statistical or machine learning models. This is a must-have reference for scientific computing in Python.
 

Practical Python toolkit for real-world data work

If you already know some Python and want to actually do data science, this book feels like having a reliable expert at your elbow. It brings together the core libraries in one place and shows how they fit into everyday tasks like cleaning data, plotting results, and building models. Readers often love it because it is hands-on, comprehensive, and incredibly useful as both a learning guide and a long-term reference.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.