Python 3 and Data Analytics Pocket Primer (notice n° 77982)

détails MARC
000 -LEADER
fixed length control field 01688cam a2200277zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88949082
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250108002729.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250108s2021 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781683926535
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88949082
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Campesato, Oswald
245 01 - TITLE STATEMENT
Title Python 3 and Data Analytics Pocket Primer
Statement of responsibility, etc. ['Campesato, Oswald']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Mercury Learning and Information
Date of production, publication, distribution, manufacture, or copyright notice 2021
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at info@merclearning.com.FEATURES:Includes a concise introduction to Python 3Provides a thorough introduction to data and data cleaningCovers NumPy and PandasIntroduces statistical concepts and data visualization (Matplotlib/Seaborn)Features an appendix on regular expressionsIncludes companion files with source code and figures
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Campesato, Oswald
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88949082">https://international.scholarvox.com/netsen/book/88949082</a>
Electronic format type text/html
Host name

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