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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"--
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Francisco :
No Starch Press,
[2022]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.