Practical data science with Python 3: synthesizing actionable insights from data
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
New York
Apress
[2019]
|
Schriftenreihe: | For professionals by professionals
|
Schlagworte: | |
Beschreibung: | xvii, 462 Seiten Diagramme |
ISBN: | 9781484248584 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV047086311 | ||
003 | DE-604 | ||
005 | 20210614 | ||
007 | t | ||
008 | 210113s2019 |||| |||| 00||| eng d | ||
020 | |a 9781484248584 |9 978-1-4842-4858-4 | ||
035 | |a (OCoLC)1164488542 | ||
035 | |a (DE-599)BVBBV047086311 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-11 | ||
082 | 0 | |a 005.133 |2 23 | |
084 | |a ST 250 |0 (DE-625)143626: |2 rvk | ||
100 | 1 | |a Varga, Ervin |e Verfasser |0 (DE-588)1197732241 |4 aut | |
245 | 1 | 0 | |a Practical data science with Python 3 |b synthesizing actionable insights from data |c Ervin Varga |
264 | 1 | |a New York |b Apress |c [2019] | |
264 | 4 | |c © 2019 | |
300 | |a xvii, 462 Seiten |b Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a For professionals by professionals | |
600 | 0 | 7 | |a Python |0 (DE-588)118793772 |2 gnd |9 rswk-swf |
650 | 4 | |a Python | |
650 | 4 | |a Big Data | |
650 | 4 | |a Open Source | |
650 | 4 | |a Python (Computer program language) | |
650 | 4 | |a Big data | |
650 | 4 | |a Open source software | |
650 | 4 | |a Computer programming | |
650 | 0 | 7 | |a Software Engineering |0 (DE-588)4116521-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Programmierung |0 (DE-588)4076370-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Data Science |0 (DE-588)1140936166 |D s |
689 | 0 | 1 | |a Big Data |0 (DE-588)4802620-7 |D s |
689 | 0 | 2 | |a Software Engineering |0 (DE-588)4116521-4 |D s |
689 | 0 | 3 | |a Python |0 (DE-588)118793772 |D p |
689 | 0 | 4 | |a Programmierung |0 (DE-588)4076370-5 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4842-4859-1 |
940 | 1 | |q gbd_0 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-032492994 |
Datensatz im Suchindex
_version_ | 1804182100689027072 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Varga, Ervin |
author_GND | (DE-588)1197732241 |
author_facet | Varga, Ervin |
author_role | aut |
author_sort | Varga, Ervin |
author_variant | e v ev |
building | Verbundindex |
bvnumber | BV047086311 |
classification_rvk | ST 250 |
ctrlnum | (OCoLC)1164488542 (DE-599)BVBBV047086311 |
dewey-full | 005.133 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.133 |
dewey-search | 005.133 |
dewey-sort | 15.133 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01827nam a2200541 c 4500</leader><controlfield tag="001">BV047086311</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210614 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">210113s2019 |||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484248584</subfield><subfield code="9">978-1-4842-4858-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1164488542</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047086311</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-11</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</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="100" ind1="1" ind2=" "><subfield code="a">Varga, Ervin</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1197732241</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Practical data science with Python 3</subfield><subfield code="b">synthesizing actionable insights from data</subfield><subfield code="c">Ervin Varga</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York</subfield><subfield code="b">Apress</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xvii, 462 Seiten</subfield><subfield code="b">Diagramme</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">For professionals by professionals</subfield></datafield><datafield tag="600" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="0">(DE-588)118793772</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Open Source</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Open source software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer programming</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Software Engineering</subfield><subfield code="0">(DE-588)4116521-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Programmierung</subfield><subfield code="0">(DE-588)4076370-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Data Science</subfield><subfield code="0">(DE-588)1140936166</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Software Engineering</subfield><subfield code="0">(DE-588)4116521-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Python</subfield><subfield code="0">(DE-588)118793772</subfield><subfield code="D">p</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Programmierung</subfield><subfield code="0">(DE-588)4076370-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-4842-4859-1</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">gbd_0</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032492994</subfield></datafield></record></collection> |
id | DE-604.BV047086311 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:17:55Z |
indexdate | 2024-07-10T09:02:11Z |
institution | BVB |
isbn | 9781484248584 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032492994 |
oclc_num | 1164488542 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | xvii, 462 Seiten Diagramme |
psigel | gbd_0 |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Apress |
record_format | marc |
series2 | For professionals by professionals |
spelling | Varga, Ervin Verfasser (DE-588)1197732241 aut Practical data science with Python 3 synthesizing actionable insights from data Ervin Varga New York Apress [2019] © 2019 xvii, 462 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier For professionals by professionals Python (DE-588)118793772 gnd rswk-swf Python Big Data Open Source Python (Computer program language) Big data Open source software Computer programming Software Engineering (DE-588)4116521-4 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Data Science (DE-588)1140936166 s Big Data (DE-588)4802620-7 s Software Engineering (DE-588)4116521-4 s Python (DE-588)118793772 p Programmierung (DE-588)4076370-5 s DE-604 Erscheint auch als Online-Ausgabe 978-1-4842-4859-1 |
spellingShingle | Varga, Ervin Practical data science with Python 3 synthesizing actionable insights from data Python (DE-588)118793772 gnd Python Big Data Open Source Python (Computer program language) Big data Open source software Computer programming Software Engineering (DE-588)4116521-4 gnd Big Data (DE-588)4802620-7 gnd Programmierung (DE-588)4076370-5 gnd Data Science (DE-588)1140936166 gnd |
subject_GND | (DE-588)118793772 (DE-588)4116521-4 (DE-588)4802620-7 (DE-588)4076370-5 (DE-588)1140936166 |
title | Practical data science with Python 3 synthesizing actionable insights from data |
title_auth | Practical data science with Python 3 synthesizing actionable insights from data |
title_exact_search | Practical data science with Python 3 synthesizing actionable insights from data |
title_exact_search_txtP | Practical data science with Python 3 synthesizing actionable insights from data |
title_full | Practical data science with Python 3 synthesizing actionable insights from data Ervin Varga |
title_fullStr | Practical data science with Python 3 synthesizing actionable insights from data Ervin Varga |
title_full_unstemmed | Practical data science with Python 3 synthesizing actionable insights from data Ervin Varga |
title_short | Practical data science with Python 3 |
title_sort | practical data science with python 3 synthesizing actionable insights from data |
title_sub | synthesizing actionable insights from data |
topic | Python (DE-588)118793772 gnd Python Big Data Open Source Python (Computer program language) Big data Open source software Computer programming Software Engineering (DE-588)4116521-4 gnd Big Data (DE-588)4802620-7 gnd Programmierung (DE-588)4076370-5 gnd Data Science (DE-588)1140936166 gnd |
topic_facet | Python Big Data Open Source Python (Computer program language) Big data Open source software Computer programming Software Engineering Programmierung Data Science |
work_keys_str_mv | AT vargaervin practicaldatasciencewithpython3synthesizingactionableinsightsfromdata |