Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1711Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Fuentes, Alvaro | - |
| dc.date.accessioned | 2026-07-31T09:40:24Z | - |
| dc.date.available | 2026-07-31T09:40:24Z | - |
| dc.date.issued | 2018-08 | - |
| dc.identifier.isbn | 978-1-78953-170-1 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1711 | - |
| dc.description.abstract | Python is one of the most common and popular languages used by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python's most essential tools and libraries that you need to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1310818; | - |
| dc.subject | Become a Python Data Analyst | en_US |
| dc.title | Become a Python Data Analyst | en_US |
| dc.title.alternative | Perform exploratory data analysis and gain insight into scientific computing using Python | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Become a Python Data Analyst.pdf | 6.57 MB | Adobe PDF | View/Open |
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