Data wrangling with Python
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the P...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, California :
O'Reilly
2016.
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| Edición: | First edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630181106719 |
Tabla de Contenidos:
- Introduction to Python
- Python basics
- Data meant to be read by machines
- Working with Excel files
- PDFs and problem solving in Python
- Acquiring and storing data
- Data cleanup: investigation, matching, and formatting
- Data cleanup: standardizing and scripting
- Data exploration and analysis
- Presenting your data
- Web scraping: acquiring and storing data from the web
- Advanced web scraping: screen scrapers and spiders
- APIs
- Automation and scaling
- Conclusion.
