Data Wrangling Using Pandas, SQL, and Java /

Data Wrangling Using Pandas, SQL, and Java / / Oswald Campesato.

This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scri...

Full description

Saved in:
Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter MLI AI COLLECTION
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 (300 p.)
Tags: Add Tag
No Tags, Be the first to tag this record!
id 9781683929031
ctrlnum (DE-B1597)653562
(OCoLC)1348378999
collection bib_alma
record_format marc
spelling Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut
Data Wrangling Using Pandas, SQL, and Java / Oswald Campesato.
Dulles, VA : Mercury Learning and Information, [2022]
©2022
1 online resource (300 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 Pandas -- Chapter 4: RDBMS and SQL -- Chapter 5: Java, JSON, and XML -- Chapter 6: Data Cleaning Tasks -- Chapter 7: Data Wrangling -- Appendix A: Working with awk -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available for downloading from the publisher. Features:Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awkIncludes a chapter on RDBMs and SQLCompanion 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 02. Jun 2024)
Data mining.
Java (Computer program language).
Programming languages (Electronic computers).
Python (Computer program language).
SQL (Computer program language).
Data.
Programming.
COMPUTERS / Programming Languages / Python. bisacsh
Java.
MySQL.
NumPy.
Pandas.
Python.
RDBMs.
awk.
computer science.
data cleaning.
data science.
programming.
Title is part of eBook package: De Gruyter MLI AI COLLECTION 9783111573533
Title is part of eBook package: De Gruyter MLI ASEE STEM eBook-Package 2024 9783111564340
Title is part of eBook package: De Gruyter MLI and ITGP STEM IT PACKAGE 9783111574073
Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024 9783111502496
EPUB 9781683929024
print 9781683929048
https://doi.org/10.1515/9781683929031
https://www.degruyter.com/isbn/9781683929031
Cover https://www.degruyter.com/document/cover/isbn/9781683929031/original
language English
format eBook
author Campesato, Oswald,
Campesato, Oswald,
spellingShingle Campesato, Oswald,
Campesato, Oswald,
Data Wrangling Using Pandas, SQL, and Java /
Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python --
Chapter 2: Working with Data --
Chapter 3: Introduction to Pandas --
Chapter 4: RDBMS and SQL --
Chapter 5: Java, JSON, and XML --
Chapter 6: Data Cleaning Tasks --
Chapter 7: Data Wrangling --
Appendix A: Working with awk --
Index
author_facet Campesato, Oswald,
Campesato, Oswald,
author_variant o c oc
o c oc
author_role VerfasserIn
VerfasserIn
author_sort Campesato, Oswald,
title Data Wrangling Using Pandas, SQL, and Java /
title_full Data Wrangling Using Pandas, SQL, and Java / Oswald Campesato.
title_fullStr Data Wrangling Using Pandas, SQL, and Java / Oswald Campesato.
title_full_unstemmed Data Wrangling Using Pandas, SQL, and Java / Oswald Campesato.
title_auth Data Wrangling Using Pandas, SQL, and Java /
title_alt Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python --
Chapter 2: Working with Data --
Chapter 3: Introduction to Pandas --
Chapter 4: RDBMS and SQL --
Chapter 5: Java, JSON, and XML --
Chapter 6: Data Cleaning Tasks --
Chapter 7: Data Wrangling --
Appendix A: Working with awk --
Index
title_new Data Wrangling Using Pandas, SQL, and Java /
title_sort data wrangling using pandas, sql, and java /
publisher Mercury Learning and Information,
publishDate 2022
physical 1 online resource (300 p.)
Issued also in print.
contents Frontmatter --
Contents --
Preface --
Chapter 1: Introduction to Python --
Chapter 2: Working with Data --
Chapter 3: Introduction to Pandas --
Chapter 4: RDBMS and SQL --
Chapter 5: Java, JSON, and XML --
Chapter 6: Data Cleaning Tasks --
Chapter 7: Data Wrangling --
Appendix A: Working with awk --
Index
isbn 9781683929031
9783111573533
9783111564340
9783111574073
9783111502496
9781683929024
9781683929048
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.73 P98 C36 42023
url https://doi.org/10.1515/9781683929031
https://www.degruyter.com/isbn/9781683929031
https://www.degruyter.com/document/cover/isbn/9781683929031/original
illustrated Not Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 005 - Computer programming, programs & data
dewey-full 005.13
dewey-sort 15.13
dewey-raw 005.13
dewey-search 005.13
doi_str_mv 10.1515/9781683929031
oclc_num 1348378999
work_keys_str_mv AT campesatooswald datawranglingusingpandassqlandjava
status_str n
ids_txt_mv (DE-B1597)653562
(OCoLC)1348378999
carrierType_str_mv cr
hierarchy_parent_title Title is part of eBook package: De Gruyter MLI AI COLLECTION
Title is part of eBook package: De Gruyter MLI ASEE STEM eBook-Package 2024
Title is part of eBook package: De Gruyter MLI and ITGP STEM IT PACKAGE
Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024
is_hierarchy_title Data Wrangling Using Pandas, SQL, and Java /
container_title Title is part of eBook package: De Gruyter MLI AI COLLECTION
_version_ 1806144019449774080
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04206nam a2200889Ia 4500</leader><controlfield tag="001">9781683929031</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20240602123719.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">240602t20222022xxu fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781683929031</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781683929031</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)653562</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1348378999</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">xxu</subfield><subfield code="c">US</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.P98</subfield><subfield code="b">C36 2023</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM051360</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">005.13</subfield><subfield code="2">23/eng/20230928</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">Data Wrangling Using Pandas, SQL, and Java /</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 (300 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 Pandas -- </subfield><subfield code="t">Chapter 4: RDBMS and SQL -- </subfield><subfield code="t">Chapter 5: Java, JSON, and XML -- </subfield><subfield code="t">Chapter 6: Data Cleaning Tasks -- </subfield><subfield code="t">Chapter 7: Data Wrangling -- </subfield><subfield code="t">Appendix A: Working with awk -- </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 primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available for downloading from the publisher. Features:Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awkIncludes a chapter on RDBMs and SQLCompanion 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 02. Jun 2024)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Java (Computer program language).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Programming languages (Electronic computers).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">SQL (Computer program language).</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">Java.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">MySQL.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NumPy.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Pandas.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Python.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RDBMs.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">awk.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">computer science.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data cleaning.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data science.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">programming.</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">MLI AI COLLECTION</subfield><subfield code="z">9783111573533</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">MLI ASEE STEM eBook-Package 2024</subfield><subfield code="z">9783111564340</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">MLI and ITGP STEM IT PACKAGE</subfield><subfield code="z">9783111574073</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">Sciendo All Ebooks Trial Collection 2024</subfield><subfield code="z">9783111502496</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">EPUB</subfield><subfield code="z">9781683929024</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9781683929048</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781683929031</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9781683929031</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9781683929031/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-150249-6 Sciendo All Ebooks Trial Collection 2024</subfield><subfield code="b">2024</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-156434-0 MLI ASEE STEM eBook-Package 2024</subfield><subfield code="b">2024</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-157353-3 MLI AI COLLECTION</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">978-3-11-157407-3 MLI and ITGP STEM IT PACKAGE</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></record></collection>

Similar Items