Pandas Basics:
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Herndon
Mercury Learning and Information
[2022]
|
| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-1043 DE-858 DE-859 DE-860 DE-739 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Beschreibung: | 1 Online-Ressource (200 Seiten) |
| ISBN: | 9781683928256 |
| DOI: | 10.1515/9781683928256 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049580753 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240222s2022 xx o|||| 00||| eng d | ||
| 020 | |a 9781683928256 |9 978-1-68392-825-6 | ||
| 024 | 7 | |a 10.1515/9781683928256 |2 doi | |
| 035 | |a (ZDB-23-DGG)9781683928256 | ||
| 035 | |a (OCoLC)1394872424 | ||
| 035 | |a (DE-599)BVBBV049580753 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1043 |a DE-1046 |a DE-858 |a DE-859 |a DE-860 |a DE-739 | ||
| 082 | 0 | |a 006.3/12 |2 23 | |
| 100 | 1 | |a Campesato, Oswald |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Pandas Basics |c Oswald Campesato |
| 264 | 1 | |a Herndon |b Mercury Learning and Information |c [2022] | |
| 264 | 4 | |c © 2022 | |
| 300 | |a 1 Online-Ressource (200 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) | ||
| 520 | |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 | ||
| 546 | |a In English | ||
| 650 | 4 | |a Data | |
| 650 | 4 | |a Programming | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Python |2 bisacsh | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Python (Computer program language) | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781683928263 |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-23-DGG | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034925684 | |
| 966 | e | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |l DE-1046 |p ZDB-23-DGG |q FAW_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |l DE-1043 |p ZDB-23-DGG |q FAB_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |l DE-858 |p ZDB-23-DGG |q FCO_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |l DE-859 |p ZDB-23-DGG |q FKE_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |l DE-860 |p ZDB-23-DGG |q FLA_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683928256?locatt=mode:legacy |l DE-739 |p ZDB-23-DGG |q UPA_PDA_DGG |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1824508242942754816 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Campesato, Oswald |
| author_facet | Campesato, Oswald |
| author_role | aut |
| author_sort | Campesato, Oswald |
| author_variant | o c oc |
| building | Verbundindex |
| bvnumber | BV049580753 |
| collection | ZDB-23-DGG |
| ctrlnum | (ZDB-23-DGG)9781683928256 (OCoLC)1394872424 (DE-599)BVBBV049580753 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1515/9781683928256 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zc 4500</leader><controlfield tag="001">BV049580753</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">240222s2022 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781683928256</subfield><subfield code="9">978-1-68392-825-6</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781683928256</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-23-DGG)9781683928256</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1394872424</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049580753</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1043</subfield><subfield code="a">DE-1046</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-739</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3/12</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Campesato, Oswald</subfield><subfield code="e">Verfasser</subfield><subfield code="4">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">Herndon</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-Ressource (200 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023)</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="546" ind1=" " ind2=" "><subfield code="a">In English</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="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781683928263</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-DGG</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034925684</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAW_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="l">DE-1043</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FAB_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="l">DE-858</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FCO_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="l">DE-859</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FKE_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="l">DE-860</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">FLA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683928256?locatt=mode:legacy</subfield><subfield code="l">DE-739</subfield><subfield code="p">ZDB-23-DGG</subfield><subfield code="q">UPA_PDA_DGG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV049580753 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:32:02Z |
| indexdate | 2025-02-19T17:37:31Z |
| institution | BVB |
| isbn | 9781683928256 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034925684 |
| oclc_num | 1394872424 |
| open_access_boolean | |
| owner | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 |
| owner_facet | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 |
| physical | 1 Online-Ressource (200 Seiten) |
| psigel | ZDB-23-DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FAB_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DGG UPA_PDA_DGG |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Mercury Learning and Information |
| record_format | marc |
| spelling | Campesato, Oswald Verfasser aut Pandas Basics Oswald Campesato Herndon Mercury Learning and Information [2022] © 2022 1 Online-Ressource (200 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) 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 In English Data Programming COMPUTERS / Programming Languages / Python bisacsh Data mining Python (Computer program language) Erscheint auch als Druck-Ausgabe 9781683928263 https://doi.org/10.1515/9781683928256?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald Pandas Basics Data Programming COMPUTERS / Programming Languages / Python bisacsh Data mining Python (Computer program language) |
| title | Pandas Basics |
| title_auth | Pandas Basics |
| title_exact_search | Pandas Basics |
| title_exact_search_txtP | Pandas Basics |
| title_full | Pandas Basics Oswald Campesato |
| title_fullStr | Pandas Basics Oswald Campesato |
| title_full_unstemmed | Pandas Basics Oswald Campesato |
| title_short | Pandas Basics |
| title_sort | pandas basics |
| topic | Data Programming COMPUTERS / Programming Languages / Python bisacsh Data mining Python (Computer program language) |
| topic_facet | Data Programming COMPUTERS / Programming Languages / Python Data mining Python (Computer program language) |
| url | https://doi.org/10.1515/9781683928256?locatt=mode:legacy |
| work_keys_str_mv | AT campesatooswald pandasbasics |