Python for R users a data science approach /
Short on theory and long on actionable analytics, this definitive guide provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations of R to Python and Python to R. --
| Main Author: | Ohri, A. |
|---|---|
| Other Authors: | ProQuest (Firm) |
| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2018.
|
| Physical Description: |
1 online resource (xxiii, 343 pages) : illustrations. |
| Series: |
Ebook Central (EBC)
ITpro Collection. |
| Subjects: |
Table of Contents:
- Introduction to Python R and data science
- Data input
- Data inspection and manipulation
- Exploratory data analysis
- Statistical modeling
- Data visualization
- Machine learning and data mining.