Pandas Basics /

Pandas Basics / / Oswald Campesato.

This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistic...

Full description

Saved in:
Bibliographic Details
VerfasserIn:
Campesato, Oswald,
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2022]
©2022
Year of Publication:2022
Language:English
Online Access:
Physical Description:1 online resource (200 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 9781683928256
ctrlnum (DE-B1597)654033
collection bib_alma
record_format marc
spelling Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut
Pandas Basics / Oswald Campesato.
Dulles, VA : Mercury Learning and Information, [2022]
©2022
1 online resource (200 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Python -- Chapter 2: Working with Data -- Chapter 3: Introduction to Probability and Statistics -- Chapter 4: Introduction to Pandas (1) -- Chapter 5: Introduction to Pandas (2) -- Chapter 6: Introduction to Pandas (3) -- Chapter 7: Data Visualization -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualizationIncludes an introductory chapter on PythonCompanion files with code
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023)
Data.
Programming.
COMPUTERS / Programming Languages / Python. bisacsh
Computer Science.
Data Science.
Developers.
Matplotlib.
NumPy.
Python.
Seaborn.
data mining.
EPUB 9781683928249
print 9781683928263
https://www.degruyter.com/isbn/9781683928256
Cover https://www.degruyter.com/document/cover/isbn/9781683928256/original
language English
format eBook
author Campesato, Oswald,
Campesato, Oswald,
spellingShingle Campesato, Oswald,
Campesato, Oswald,
Pandas Basics /
Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python --
Chapter 2: Working with Data --
Chapter 3: Introduction to Probability and Statistics --
Chapter 4: Introduction to Pandas (1) --
Chapter 5: Introduction to Pandas (2) --
Chapter 6: Introduction to Pandas (3) --
Chapter 7: Data Visualization --
Index
author_facet Campesato, Oswald,
Campesato, Oswald,
author_variant o c oc
o c oc
author_role VerfasserIn
VerfasserIn
author_sort Campesato, Oswald,
title Pandas Basics /
title_full Pandas Basics / Oswald Campesato.
title_fullStr Pandas Basics / Oswald Campesato.
title_full_unstemmed Pandas Basics / Oswald Campesato.
title_auth Pandas Basics /
title_alt Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python --
Chapter 2: Working with Data --
Chapter 3: Introduction to Probability and Statistics --
Chapter 4: Introduction to Pandas (1) --
Chapter 5: Introduction to Pandas (2) --
Chapter 6: Introduction to Pandas (3) --
Chapter 7: Data Visualization --
Index
title_new Pandas Basics /
title_sort pandas basics /
publisher Mercury Learning and Information,
publishDate 2022
physical 1 online resource (200 p.)
Issued also in print.
contents Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python --
Chapter 2: Working with Data --
Chapter 3: Introduction to Probability and Statistics --
Chapter 4: Introduction to Pandas (1) --
Chapter 5: Introduction to Pandas (2) --
Chapter 6: Introduction to Pandas (3) --
Chapter 7: Data Visualization --
Index
isbn 9781683928256
9781683928249
9781683928263
url https://www.degruyter.com/isbn/9781683928256
https://www.degruyter.com/document/cover/isbn/9781683928256/original
illustrated Illustrated
work_keys_str_mv AT campesatooswald pandasbasics
status_str n
ids_txt_mv (DE-B1597)654033
carrierType_str_mv cr
is_hierarchy_title Pandas Basics /
_version_ 1775793046632267776
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03219nam a22006975i 4500</leader><controlfield tag="001">9781683928256</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20230808014301.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">230808t20222022 fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781683928256</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)654033</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">vau</subfield><subfield code="c">US-VA</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM051360</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Campesato, Oswald, </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Pandas Basics /</subfield><subfield code="c">Oswald Campesato.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Dulles, VA : </subfield><subfield code="b">Mercury Learning and Information, </subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (200 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Chapter 1: Introduction to Python -- </subfield><subfield code="t">Chapter 2: Working with Data -- </subfield><subfield code="t">Chapter 3: Introduction to Probability and Statistics -- </subfield><subfield code="t">Chapter 4: Introduction to Pandas (1) -- </subfield><subfield code="t">Chapter 5: Introduction to Pandas (2) -- </subfield><subfield code="t">Chapter 6: Introduction to Pandas (3) -- </subfield><subfield code="t">Chapter 7: Data Visualization -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with numerous code samples for Pandas and NumPy programming concepts, and an introduction to statistical concepts and data visualizationIncludes an introductory chapter on PythonCompanion files with code</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Programming.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming Languages / Python.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computer Science.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data Science.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Developers.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Matplotlib.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NumPy.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Programming.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Python.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Seaborn.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data mining.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9781683928249</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9781683928263</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9781683928256</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9781683928256/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_CL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ECL_CHCOMSGSEN</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA13ENGE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA18STMEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield></record></collection>

Similar Items