Python data science handbook : essential tools for working with data

"For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, Nu...

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Bibliographic Details
Main Author: Vanderplas, Jacob T., (Author)
Format: eBook
Language: English
Published: Sebastopol, CA : O'Reilly Media, Inc., [2016]
Edition: First edition.
Subjects:
dolování dat
Python (programovací jazyk)
data mining
Python (programming language)
elektronické knihy
příručky
electronic books
handbooks and manuals
ISBN: 9781491912140
9781491912133
9781491912041
9781491912058
Physical Description: 1 online zdroj (xvi, 529 stran) : ilustrace, mapy

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Table of contents

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072 7 |a 004.4/.6  |x Programování. Software  |9 Konspekt  |2 23 
080 |a 004.659  |2 MRF 
080 |a 004.438Python  |2 MRF 
080 |a (0.034.2:08)   |2 MRF 
080 |a (035)  |2 MRF 
100 1 |a Vanderplas, Jacob T.,  |e author. 
245 1 0 |a Python data science handbook :  |b essential tools for working with data /  |c Jake VanderPlas. 
246 3 |a Essential tools for working with data 
250 |a First edition. 
264 1 |a Sebastopol, CA :  |b O'Reilly Media, Inc.,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online zdroj (xvi, 529 stran) :  |b ilustrace, mapy 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
500 |a Includes index. 
500 |a "Powered by Jupyter"--Cover. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all--IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python."- Resumé vydavatel 
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650 0 7 |a Python (programovací jazyk)  |2 czenas  |7 ph170668 
650 0 9 |a data mining  |2 eczenas 
650 0 9 |a Python (programming language)  |2 eczenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 7 |a příručky  |7 fd133209  |2 czenas 
655 9 |a electronic books  |2 eczenas 
655 9 |a handbooks and manuals  |2 eczenas 
776 0 8 |i Print version:  |a Vanderplas, Jacob T.  |t Python data science handbook.  |b First edition.  |d Sebastopol, CA : O'Reilly Media, Inc., 2016  |z 9781491912058  |w (OCoLC)915498936 
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942 |2 udc 
992 |c EBOOK-TN  |c EBSCO 
993 |x NEPOSILAT  |y EIZ 

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