Python for data science a hands-on introduction
"Shows programmers the best ways to leverage Python for data-driven applications. Loaded with practical examples, the book provides a wide-ranging tour of Python's abilities to obtain, transform, and analyze data"--
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| Format: | eBook |
| Language: | Inglés |
| Published: |
San Francisco, CA :
No Starch Press
[2022].
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009668680106719 |
Table of Contents:
- The basics of data
- Python data science libraries
- Accessing data from files and APIs
- Working with databases
- Aggregating data
- Combining data sets
- Creating visualizations
- Analyzing location data
- Analyzing time series data
- Gaining insight from data
- Machine learning for data analysis.
