Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1533Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Taieb, David | - |
| dc.date.accessioned | 2026-07-28T11:13:23Z | - |
| dc.date.available | 2026-07-28T11:13:23Z | - |
| dc.date.issued | 2018-12 | - |
| dc.identifier.isbn | 978-1-78995-006-9 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1533 | - |
| dc.description.abstract | First, let me thank you and congratulate you, the reader, for the decision to invest some of your valuable time to read this book. Throughout the chapters to come, I will take you on a journey of discovering or even re-discovering data science from the perspective of a developer and will develop the theme of this book which is that data science is a team sport and that if it is to be successful, developers will have to play a bigger role in the near future and better collaborate with data scientists. However, to make data science more inclusive to people of all backgrounds and trades, we first need to democratize it by making data simple and accessible—this is in essence what this book is about. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Pact Publication | en_US |
| dc.relation.ispartofseries | 1241218; | - |
| dc.subject | Data Analysis with Python | en_US |
| dc.title | Data Analysis with Python | en_US |
| dc.title.alternative | A Modern Approach | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Data Analysis with Python.pdf | 12.24 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
