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Python data science handbook: essential tools for working with data

Vanderplas, Jacob T. - Personal Name;

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.


Availability
#
INFORMATIKA (Rak Koleksi) 006.312 VAN p
TIF.2020.001
Available
Detail Information
Series Title
-
Call Number
006.312 VAN p
Publisher
cau : O\'Reilly Media, Inc.., 2016
Collation
xvi, 529 pages : illustrations, maps ; 24 cm
Language
English
ISBN/ISSN
9781491912058
Classification
006.312
Content Type
-
Media Type
-
Carrier Type
-
Edition
1st.ed
Subject(s)
Data mining
Python (Computer program language)
Datenanalyse
Datenmanagement
Python
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

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