R to Python
I Thoughts of an R programmer Learning Python
1 Front Material
- 1.1 Colophon
- 1.2 Preface
2 Introduction
II R and Python, Side by Side
3 A Comparative Look
- 3.1 Functional Programming Commonalities.
- 3.2 Building Blocks of Functions as Procedures
4 Set-up for R and Python Exercises
5 Basic Mathematics in R and Python
- 5.1 Add, Subtract, Multiply and Divide
  - 5.1.1 R Scripting
  - 5.1.2 Python Scripting
- 5.2 Other basic algebraic operators in R and Python
6 Functional Programming with R and Python
7 Object-Oriented Programming with R and Python
- 7.1 Defining Classes in R and Python
- 7.2 Using Objects and Classes
  - 7.2.1 R Scripting
  - 7.2.2 Python Scripting
III Data Science Topics in Python Compared to R
8 Clean and Tidy Data
9 Using Probability Distributions with R and Python
10 Descriptive Statistics and Data Exploration
11 Statistical Analysis and Modeling
- 11.1 Defining the Available Functions
  - 11.1.1 R Scripting
  - 11.1.2 Python Scripting
- 11.2 Calling and Using Functions
  - 11.2.1 R Scripting
  - 11.2.2 Python Scripting
12 Non-Stochastic Models
13 Reproducible Research
14 References
15 Bibliography
IV Appendices
16 Appendix 1 -Comparative Syntax for Programming Constructs of R and Python
- 16.1 Extended Structures
17 Appendix 2 - Mixed R and Python
- 17.1 Examples with rMarkdown and Jupyter-SOS Notebooks
  - 17.1.1 Using rmarkdown as a Mixed Language Environment
  - 17.1.2 Using Jupyter with SOS as a Mixed Language Environment
18 Appendix 3 - R and Python Packages
19 Appendix 4 - Selected Tutorials and Learning Resources
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13 Reproducible Research