Beginning data analysis with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insight from your existing data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2018
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Description based on online resource; title from cover (Safari, viewed July 18, 2018). - Includes index |
| Beschreibung: | 1 online resource (1 volume) illustrations |
| ISBN: | 9781789534658 1789534658 |
Internformat
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Datensatz im Suchindex
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| author | Galea, Alex |
| author_facet | Galea, Alex |
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| building | Verbundindex |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045144510 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:09:54Z |
| institution | BVB |
| isbn | 9781789534658 1789534658 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030534291 |
| oclc_num | 1045429050 |
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| physical | 1 online resource (1 volume) illustrations |
| psigel | ZDB-32-STB ZDB-5-WPSE |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Galea, Alex Verfasser aut Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data by Alex Galea Birmingham, UK Packt Publishing 2018 1 online resource (1 volume) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from cover (Safari, viewed July 18, 2018). - Includes index Python (Computer program language) Information visualization Electronic data processing Data mining Erscheint auch als Druck-Ausgabe 9781789532029 http://proquest.tech.safaribooksonline.de/9781789532029 Aggregator URL des Erstveröffentlichers Volltext |
| spellingShingle | Galea, Alex Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data Python (Computer program language) Information visualization Electronic data processing Data mining |
| title | Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data |
| title_auth | Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data |
| title_exact_search | Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data |
| title_full | Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data by Alex Galea |
| title_fullStr | Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data by Alex Galea |
| title_full_unstemmed | Beginning data analysis with Python and Jupyter use powerful industry-standard tools to unlock new, actionable insight from your existing data by Alex Galea |
| title_short | Beginning data analysis with Python and Jupyter |
| title_sort | beginning data analysis with python and jupyter use powerful industry standard tools to unlock new actionable insight from your existing data |
| title_sub | use powerful industry-standard tools to unlock new, actionable insight from your existing data |
| topic | Python (Computer program language) Information visualization Electronic data processing Data mining |
| topic_facet | Python (Computer program language) Information visualization Electronic data processing Data mining |
| url | http://proquest.tech.safaribooksonline.de/9781789532029 |
| work_keys_str_mv | AT galeaalex beginningdataanalysiswithpythonandjupyterusepowerfulindustrystandardtoolstounlocknewactionableinsightfromyourexistingdata |