Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1765Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Galea, Alex | - |
| dc.date.accessioned | 2026-08-04T05:50:16Z | - |
| dc.date.available | 2026-08-04T05:50:16Z | - |
| dc.date.issued | 2018-10 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1765 | - |
| dc.description.abstract | About This section briefly introduces the author, the coverage of this book, the technical skills you'll need to get started, and the hardware and software requirements required to complete all of the included activities and exercises. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 2051218; | - |
| dc.subject | Applied Data Science with Python and Jupyter | en_US |
| dc.title | Applied Data Science with Python and Jupyter | en_US |
| dc.title.alternative | Use powerful industry-standard tools to unlock new, actionable insights from your data | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Applied Data Science with Python and Jupyter.pdf | 4.71 MB | Adobe PDF | View/Open |
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