On the PySpark API documentation, explain the purpose of the `select` method for DataFrames and provide a Python code example demonstrating how to use it to choose specific columns like 'name' and 'age' from a DataFrame named `my_data`.
Navigate to 'spark.apache.org/docs/latest/api/python/index.html' Click on the 'API Reference' link. Locate and navigate to the documentation for the `DataFrame` class. Locate the 'select' method within the 'DataFrame' class documentation. Extract the description of what the `select` method does. Construct a Python code snippet demonstrating the use of `select` to choose 'name' and 'age' from a DataFrame `my_data`.
Successfully navigates to the PySpark API Reference. Successfully locates the `DataFrame` class documentation. Identifies the `select` method. Explains that `select` projects expressions or selects columns to create a new DataFrame. Provides a correct Python code snippet, such as `my_data.select('name', 'age')` or `my_data.select(my_data.name, my_data.age)`, including necessary setup for a runnable example.