Foundations for analytics with Python
If you’re like many of Excel’s 750 million users, you want to do more with your data—like repeating similar analyses over hundreds of files, or combining data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale the processing and ana...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing, China :
O'Reilly
2016.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629899406719 |
Tabla de Contenidos:
- Python basics
- Comma-separated values (CSV) files
- Excel files
- Databases
- Applications
- Figures and plots
- Descriptive statistics and modeling
- Scheduling scripts to run automatically
- Where to go from here.
