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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"--
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
San Francisco :
No Starch Press,
[2022]
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| Subjects: | |
| Online Access: | Texto completo (Requiere registro previo con correo institucional) |
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.