Bash for Data Scientists:
This book introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of gre...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Herndon
Mercury Learning and Information
[2022]
|
| Subjects: | |
| Online Access: | DE-1046 DE-1043 DE-858 DE-859 DE-860 DE-739 Volltext |
| Summary: | This book introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasetsContains a variety of code fragments and shell scripts for data scientists, data analysts, and those who want shell-based solutions to "clean" various types of datasetsCompanion files with code |
| Item Description: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Physical Description: | 1 Online-Ressource (276 Seiten) |
| ISBN: | 9781683929727 |
| DOI: | 10.1515/9781683929727 |
Staff View
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV049580774 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 240222s2022 xx o|||| 00||| eng d | ||
| 020 | |a 9781683929727 |9 978-1-68392-972-7 | ||
| 024 | 7 | |a 10.1515/9781683929727 |2 doi | |
| 035 | |a (ZDB-23-DGG)9781683929727 | ||
| 035 | |a (OCoLC)1355221945 | ||
| 035 | |a (DE-599)BVBBV049580774 | ||
| 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 005.43 |2 23 | |
| 100 | 1 | |a Campesato, Oswald |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Bash for Data Scientists |c Oswald Campesato |
| 264 | 1 | |a Herndon |b Mercury Learning and Information |c [2022] | |
| 264 | 4 | |c © 2022 | |
| 300 | |a 1 Online-Ressource (276 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 introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasetsContains a variety of code fragments and shell scripts for data scientists, data analysts, and those who want shell-based solutions to "clean" various types of datasetsCompanion 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 sets | |
| 650 | 4 | |a Utilities (Computer programs) | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781683929734 |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-23-DGG | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034925705 | |
| 966 | e | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |l DE-1046 |p ZDB-23-DGG |q FAW_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |l DE-1043 |p ZDB-23-DGG |q FAB_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |l DE-858 |p ZDB-23-DGG |q FCO_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |l DE-859 |p ZDB-23-DGG |q FKE_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |l DE-860 |p ZDB-23-DGG |q FLA_PDA_DGG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1515/9781683929727?locatt=mode:legacy |l DE-739 |p ZDB-23-DGG |q UPA_PDA_DGG |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1824508242997280768 |
|---|---|
| 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 | BV049580774 |
| collection | ZDB-23-DGG |
| ctrlnum | (ZDB-23-DGG)9781683929727 (OCoLC)1355221945 (DE-599)BVBBV049580774 |
| dewey-full | 005.43 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.43 |
| dewey-search | 005.43 |
| dewey-sort | 15.43 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1515/9781683929727 |
| 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">BV049580774</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">9781683929727</subfield><subfield code="9">978-1-68392-972-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9781683929727</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-23-DGG)9781683929727</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1355221945</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049580774</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">005.43</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">Bash for Data Scientists</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 (276 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 introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasetsContains a variety of code fragments and shell scripts for data scientists, data analysts, and those who want shell-based solutions to "clean" various types of datasetsCompanion 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 sets</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Utilities (Computer programs)</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">9781683929734</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9781683929727?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:BVB01-034925705</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1515/9781683929727?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/10.1515/9781683929727?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/10.1515/9781683929727?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/10.1515/9781683929727?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/10.1515/9781683929727?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/10.1515/9781683929727?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.BV049580774 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:32:02Z |
| indexdate | 2025-02-19T17:37:31Z |
| institution | BVB |
| isbn | 9781683929727 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034925705 |
| oclc_num | 1355221945 |
| 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 (276 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 Bash for Data Scientists Oswald Campesato Herndon Mercury Learning and Information [2022] © 2022 1 Online-Ressource (276 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 introduces an assortment of powerful command line utilities that can be combined to create simple, yet powerful shell scripts for processing datasets. The code samples and scripts use the bash shell, and typically involve small datasets so you can focus on understanding the features of grep, sed, and awk. Companion files with code are available for downloading from the publisher. FEATURES:Provides the reader with powerful command line utilities that can be combined to create simple yet powerful shell scripts for processing datasetsContains a variety of code fragments and shell scripts for data scientists, data analysts, and those who want shell-based solutions to "clean" various types of datasetsCompanion files with code In English Data Programming COMPUTERS / Programming Languages / Python bisacsh Data sets Utilities (Computer programs) Erscheint auch als Druck-Ausgabe 9781683929734 https://doi.org/10.1515/9781683929727?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald Bash for Data Scientists Data Programming COMPUTERS / Programming Languages / Python bisacsh Data sets Utilities (Computer programs) |
| title | Bash for Data Scientists |
| title_auth | Bash for Data Scientists |
| title_exact_search | Bash for Data Scientists |
| title_exact_search_txtP | Bash for Data Scientists |
| title_full | Bash for Data Scientists Oswald Campesato |
| title_fullStr | Bash for Data Scientists Oswald Campesato |
| title_full_unstemmed | Bash for Data Scientists Oswald Campesato |
| title_short | Bash for Data Scientists |
| title_sort | bash for data scientists |
| topic | Data Programming COMPUTERS / Programming Languages / Python bisacsh Data sets Utilities (Computer programs) |
| topic_facet | Data Programming COMPUTERS / Programming Languages / Python Data sets Utilities (Computer programs) |
| url | https://doi.org/10.1515/9781683929727?locatt=mode:legacy |
| work_keys_str_mv | AT campesatooswald bashfordatascientists |