NumPy beginner's guide: an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Birmingham, U.K. [u.a.]
Packt Publ.
2013
|
Ausgabe: | 2. ed. |
Schlagwörter: | |
Umfang: | VIII, 287 S. Ill., graph. Darst. |
ISBN: | 9781782166085 |
Internformat
MARC
LEADER | 00000nam a2200000zc 4500 | ||
---|---|---|---|
001 | BV041042533 | ||
003 | DE-604 | ||
005 | 20130716 | ||
007 | t| | ||
008 | 130523s2013 xx ad|| |||| 00||| eng d | ||
020 | |a 9781782166085 |9 978-1-78216-608-5 | ||
035 | |a (OCoLC)856800437 | ||
035 | |a (DE-599)BVBBV041042533 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-29T | ||
100 | 1 | |a Idris, Ivan |e Verfasser |4 aut | |
245 | 1 | 0 | |a NumPy beginner's guide |b an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library |c Ivan Idris |
246 | 1 | 3 | |a NumPy |
250 | |a 2. ed. | ||
264 | 1 | |a Birmingham, U.K. [u.a.] |b Packt Publ. |c 2013 | |
300 | |a VIII, 287 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 4 | |a Datenverarbeitung | |
650 | 4 | |a Statistik | |
650 | 4 | |a Python (Computer program language) | |
650 | 4 | |a Numerical analysis / Data processing | |
650 | 4 | |a Statistics / Data processing | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-026019914 |
Datensatz im Suchindex
_version_ | 1818977555107020800 |
---|---|
any_adam_object | |
author | Idris, Ivan |
author_facet | Idris, Ivan |
author_role | aut |
author_sort | Idris, Ivan |
author_variant | i i ii |
building | Verbundindex |
bvnumber | BV041042533 |
ctrlnum | (OCoLC)856800437 (DE-599)BVBBV041042533 |
edition | 2. ed. |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01098nam a2200337zc 4500</leader><controlfield tag="001">BV041042533</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20130716 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">130523s2013 xx ad|| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781782166085</subfield><subfield code="9">978-1-78216-608-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)856800437</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV041042533</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Idris, Ivan</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">NumPy beginner's guide</subfield><subfield code="b">an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library</subfield><subfield code="c">Ivan Idris</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">NumPy</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2. ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, U.K. [u.a.]</subfield><subfield code="b">Packt Publ.</subfield><subfield code="c">2013</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">VIII, 287 S.</subfield><subfield code="b">Ill., graph. Darst.</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="650" ind1=" " ind2="4"><subfield code="a">Datenverarbeitung</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistik</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">Numerical analysis / Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics / Data processing</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-026019914</subfield></datafield></record></collection> |
id | DE-604.BV041042533 |
illustrated | Illustrated |
indexdate | 2024-12-20T16:29:36Z |
institution | BVB |
isbn | 9781782166085 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026019914 |
oclc_num | 856800437 |
open_access_boolean | |
owner | DE-29T |
owner_facet | DE-29T |
physical | VIII, 287 S. Ill., graph. Darst. |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Packt Publ. |
record_format | marc |
spelling | Idris, Ivan Verfasser aut NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library Ivan Idris NumPy 2. ed. Birmingham, U.K. [u.a.] Packt Publ. 2013 VIII, 287 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Datenverarbeitung Statistik Python (Computer program language) Numerical analysis / Data processing Statistics / Data processing |
spellingShingle | Idris, Ivan NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library Datenverarbeitung Statistik Python (Computer program language) Numerical analysis / Data processing Statistics / Data processing |
title | NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library |
title_alt | NumPy |
title_auth | NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library |
title_exact_search | NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library |
title_full | NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library Ivan Idris |
title_fullStr | NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library Ivan Idris |
title_full_unstemmed | NumPy beginner's guide an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library Ivan Idris |
title_short | NumPy beginner's guide |
title_sort | numpy beginner s guide an action packed guide using real world examples of the easy to use high performance free open source numpy mathematical library |
title_sub | an action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library |
topic | Datenverarbeitung Statistik Python (Computer program language) Numerical analysis / Data processing Statistics / Data processing |
topic_facet | Datenverarbeitung Statistik Python (Computer program language) Numerical analysis / Data processing Statistics / Data processing |
work_keys_str_mv | AT idrisivan numpybeginnersguideanactionpackedguideusingrealworldexamplesoftheeasytousehighperformancefreeopensourcenumpymathematicallibrary AT idrisivan numpy |