Scientific data: a 50 steps guide using Python:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2024]
|
| Ausgabe: | 1. Auflage |
| Schriftenreihe: | De Gruyter graduate
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext |
| Beschreibung: | XVI, 217 Seiten Illustrationen, Diagramme 24 cm x 17 cm |
| ISBN: | 3111334570 9783111334578 |
Internformat
MARC
| LEADER | 00000nam a22000008c 4500 | ||
|---|---|---|---|
| 001 | BV049868725 | ||
| 003 | DE-604 | ||
| 005 | 20241015 | ||
| 007 | t | ||
| 008 | 240916s2024 gw a||| |||| 00||| eng d | ||
| 015 | |a 24,N19 |2 dnb | ||
| 016 | 7 | |a 1328325555 |2 DE-101 | |
| 020 | |a 3111334570 |9 3-11-133457-0 | ||
| 020 | |a 9783111334578 |c pbk: EUR 69.95 (DE) (freier Preis), EUR 69.95 (AT) (freier Preis) |9 978-3-11-133457-8 | ||
| 024 | 3 | |a 9783111334578 | |
| 035 | |a (DE-599)DNB1328325555 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE-BE | ||
| 049 | |a DE-29T |a DE-1050 |a DE-11 | ||
| 084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
| 084 | |8 1\p |a 540 |2 23sdnb | ||
| 100 | 1 | |a Hofmann, Matthias |e Verfasser |0 (DE-588)1059788675 |4 aut | |
| 245 | 1 | 0 | |a Scientific data: a 50 steps guide using Python |c Matthias Hofmann |
| 264 | 1 | |a Berlin ; Boston |b De Gruyter |c [2024] | |
| 300 | |a XVI, 217 Seiten |b Illustrationen, Diagramme |c 24 cm x 17 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a De Gruyter graduate | |
| 653 | |a Auswertung Experimente | ||
| 653 | |a Data analysis | ||
| 653 | |a Datenanalyse | ||
| 653 | |a Experiments evaluation | ||
| 653 | |a Modeling experiments | ||
| 653 | |a Modellierung Experimente | ||
| 653 | |a Programmiersprache Python | ||
| 653 | |a Programming language Python | ||
| 653 | |a Scientific experiments | ||
| 653 | |a TB: Textbook | ||
| 653 | |a Wissenschaftliche Experimente | ||
| 710 | 2 | |a Walter de Gruyter GmbH & Co. KG |0 (DE-588)10095502-2 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-3-11-133460-8 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, EPUB |z 978-3-11-133470-7 |
| 856 | 4 | 2 | |m X:MVB |q text/html |u https://www.degruyter.com/isbn/9783111334578 |3 Inhaltstext |
| 883 | 1 | |8 1\p |a vlb |d 20240504 |q DE-101 |u https://d-nb.info/provenance/plan#vlb | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035208250 | |
Datensatz im Suchindex
| _version_ | 1814804493931380736 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Hofmann, Matthias |
| author_GND | (DE-588)1059788675 |
| author_facet | Hofmann, Matthias |
| author_role | aut |
| author_sort | Hofmann, Matthias |
| author_variant | m h mh |
| building | Verbundindex |
| bvnumber | BV049868725 |
| classification_rvk | ST 250 |
| ctrlnum | (DE-599)DNB1328325555 |
| discipline | Informatik |
| edition | 1. Auflage |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a22000008c 4500</leader><controlfield tag="001">BV049868725</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20241015</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">240916s2024 gw a||| |||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">24,N19</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">1328325555</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3111334570</subfield><subfield code="9">3-11-133457-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783111334578</subfield><subfield code="c">pbk: EUR 69.95 (DE) (freier Preis), EUR 69.95 (AT) (freier Preis)</subfield><subfield code="9">978-3-11-133457-8</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783111334578</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DNB1328325555</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="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 250</subfield><subfield code="0">(DE-625)143626:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">540</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Hofmann, Matthias</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1059788675</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scientific data: a 50 steps guide using Python</subfield><subfield code="c">Matthias Hofmann</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ; Boston</subfield><subfield code="b">De Gruyter</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVI, 217 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield><subfield code="c">24 cm x 17 cm</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">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">De Gruyter graduate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Auswertung Experimente</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Datenanalyse</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Experiments evaluation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Modeling experiments</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Modellierung Experimente</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Programmiersprache Python</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Programming language Python</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Scientific experiments</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TB: Textbook</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Wissenschaftliche Experimente</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Walter de Gruyter GmbH & Co. KG</subfield><subfield code="0">(DE-588)10095502-2</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, PDF</subfield><subfield code="z">978-3-11-133460-8</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, EPUB</subfield><subfield code="z">978-3-11-133470-7</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">X:MVB</subfield><subfield code="q">text/html</subfield><subfield code="u">https://www.degruyter.com/isbn/9783111334578</subfield><subfield code="3">Inhaltstext</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">vlb</subfield><subfield code="d">20240504</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#vlb</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035208250</subfield></datafield></record></collection> |
| id | DE-604.BV049868725 |
| illustrated | Illustrated |
| indexdate | 2024-11-04T15:00:34Z |
| institution | BVB |
| institution_GND | (DE-588)10095502-2 |
| isbn | 3111334570 9783111334578 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035208250 |
| open_access_boolean | |
| owner | DE-29T DE-1050 DE-11 |
| owner_facet | DE-29T DE-1050 DE-11 |
| physical | XVI, 217 Seiten Illustrationen, Diagramme 24 cm x 17 cm |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | De Gruyter |
| record_format | marc |
| series2 | De Gruyter graduate |
| spelling | Hofmann, Matthias Verfasser (DE-588)1059788675 aut Scientific data: a 50 steps guide using Python Matthias Hofmann Berlin ; Boston De Gruyter [2024] XVI, 217 Seiten Illustrationen, Diagramme 24 cm x 17 cm txt rdacontent n rdamedia nc rdacarrier De Gruyter graduate Auswertung Experimente Data analysis Datenanalyse Experiments evaluation Modeling experiments Modellierung Experimente Programmiersprache Python Programming language Python Scientific experiments TB: Textbook Wissenschaftliche Experimente Walter de Gruyter GmbH & Co. KG (DE-588)10095502-2 pbl Erscheint auch als Online-Ausgabe, PDF 978-3-11-133460-8 Erscheint auch als Online-Ausgabe, EPUB 978-3-11-133470-7 X:MVB text/html https://www.degruyter.com/isbn/9783111334578 Inhaltstext 1\p vlb 20240504 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Hofmann, Matthias Scientific data: a 50 steps guide using Python |
| title | Scientific data: a 50 steps guide using Python |
| title_auth | Scientific data: a 50 steps guide using Python |
| title_exact_search | Scientific data: a 50 steps guide using Python |
| title_full | Scientific data: a 50 steps guide using Python Matthias Hofmann |
| title_fullStr | Scientific data: a 50 steps guide using Python Matthias Hofmann |
| title_full_unstemmed | Scientific data: a 50 steps guide using Python Matthias Hofmann |
| title_short | Scientific data: a 50 steps guide using Python |
| title_sort | scientific data a 50 steps guide using python |
| url | https://www.degruyter.com/isbn/9783111334578 |
| work_keys_str_mv | AT hofmannmatthias scientificdataa50stepsguideusingpython AT walterdegruytergmbhcokg scientificdataa50stepsguideusingpython |