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Session 1: Python & R 作者: Mind Map: Session 1: Python & R

1. Installation

1.1. R

1.1.1. CRAN-R

1.1.2. RStudio

1.1.2.1. Desktop Version

1.1.2.2. Cloud Version

1.1.2.3. beyond base installation

1.1.2.3.1. install (download and install)

1.1.2.3.2. activate

1.2. Python

1.2.1. Desktop version

1.2.1.1. Anaconda

1.2.1.1.1. Create Environment

1.2.1.1.2. Install Jupyter

1.2.2. Cloud version

1.2.2.1. GoogleColab

1.2.2.2. DataLore

1.2.3. beyond base installation

1.2.3.1. install (download and install)

1.2.3.1.1. from Anaconda

1.2.3.1.2. from Terminal

1.2.3.2. activate

1.2.3.2.1. **import** plotnine

2. Data Types

2.1. Numerical

2.1.1. Real

2.1.1.1. AKA **numeric** / **double** in R

2.1.1.2. AKA **float** in Python

2.1.2. Integer

2.1.3. Complex

2.2. Logical

2.2.1. TRUE / FALSE in **R**

2.2.2. True / False in **Python**

2.2.2.1. AKA **boolean** in Python

2.3. Character or String

2.3.1. R: "char"

2.3.2. Python: "string"

2.4. Categorical

2.4.1. AKA **factor** in R

2.4.2. AKA **categorical** in Python

2.5. Date

3. Data Structures

3.1. Simple

3.1.1. Common between R and Python

3.1.1.1. Vector

3.1.1.1.1. Native

3.1.1.1.2. several elements, as long as the elements are of the same data type

3.1.1.2. List

3.1.1.2.1. Native

3.1.1.2.2. several elements, the elements can be of any data type

3.1.2. Only Python

3.1.2.1. Tuple

3.1.2.1.1. several elements, the elements can be of any data type

3.1.2.2. Set

3.1.2.2.1. several elements, the elements can be of any data type

3.1.3. Operations

3.1.3.1. Create

3.1.3.1.1. Python

3.1.3.1.2. R

3.1.3.2. Access

3.1.3.2.1. List

3.1.3.2.2. Vector

3.1.3.2.3. Set

3.1.3.2.4. Tuple

3.1.3.3. Modify

3.1.3.3.1. Replace

3.1.3.3.2. Delete

3.1.3.3.3. Insert

3.1.3.4. Concatenate

3.1.3.4.1. List

3.1.3.4.2. Vector

3.1.3.4.3. Set

3.1.3.4.4. Tuple

3.2. Complex

3.2.1. Only Python

3.2.1.1. Dictionary

3.2.1.1.1. several elements, the elements can be of any data type

3.2.1.1.2. Operations

3.2.2. Common between R and Python

3.2.2.1. Data Frame

3.2.2.1.1. Native

3.2.2.1.2. Non-native

3.2.2.1.3. Operations

3.2.2.2. Spatial Data Frame

3.2.2.2.1. Non-native in R

3.2.2.2.2. Non-native in Python

3.2.2.3. Graphs

3.2.2.3.1. Non-native in R

3.2.2.3.2. Non-native in Python