Data Science and Machine Learning (Theory and Projects) A to Z - Function and Module in Python: DocString

The video tutorial explains the importance of docstrings in Python functions, demonstrating how to create and access them. It covers the use of docstrings for documenting functions, accessing them without opening the function code, and using the help command to view docstrings. The tutorial also discusses docstrings in third-party and built-in functions, emphasizing their role in understanding and using functions effectively.

What is the primary purpose of a docstring in Python?

• To optimize the function's performance

• To document the function's purpose

• To execute a function

• To debug the function

How should a docstring be formatted in Python?

• With triple quotes

• With double quotes

• With parentheses

• With single quotes

Which command can be used to access a function's docstring in Python?

• help()

• sum()

• print()

• len()

What happens when you use a double '?' in front of a function name in Python?

• It shows the function's implementation only

• It shows the function's return value

• It shows both the docstring and implementation

• It shows the function's docstring only

Why might some Python functions not show their implementation when using a double '?'?

• They are too complex

• They are written in another language like C

• They are private functions

• They are deprecated

What is a key benefit of using docstrings in shared libraries?

• They increase execution speed

• They provide a user interface

• They help understand the function's purpose without seeing the code

• They reduce memory usage

What is a recommended practice when writing functions in Python?

• Avoid using docstrings

• Write docstrings for every function

• Use docstrings only for complex functions

• Write docstrings only for public functions