Python for data analysis data wrangling with pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the l...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing :
O'Reilly
[2018]
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| Edición: | Second edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009623423706719 |
Tabla de Contenidos:
- Preliminaries
- Python language basics, IPython, and Jupyter notebooks
- Built-in data structures, functions, and files
- NumPy basics: arrays and vectorized computation
- Getting started with pandas
- Data loading, storage, and file formats
- Data cleaning and preparation
- Data wrangling: join, combine, and reshape
- Plotting and visualization
- Data aggregation and group operations
- Time series
- Advanced pandas
- Introduction to modeling libraies in Python
- Data analysis examples
- Advanced NumPy
- More on the IPython system.
