Python's function is a powerful tool for accessing documentation. It provides information on modules, functions, and keywords, making it easier to understand and use Python's features effectively.
The help() function offers interactive assistance and code examples. By exploring documentation through help(), you can gain practical insights into Python's modules and functions, enhancing your programming skills and knowledge.
The help() Function in Python
Help function for documentation
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Built-in Python function provides interactive help and documentation for modules, functions, classes, and keywords
Access documentation for a specific module by passing the module name as an argument to help() ()
Access documentation for a specific function by passing the function name as an argument to help() ()
Call help() without arguments to start an interactive help session ()
Enter the name of a module, function, or keyword to view its documentation
Type "quit" to exit the interactive help session
Interpreting code in documentation
Function documentation often includes code examples demonstrating usage and syntax
Examples provide practical understanding of function's usage and syntax
Pay attention to input arguments, return values, and additional notes or warnings in examples
Run code examples in your Python environment to see how they work and experiment with different inputs
Key components of modules
Modules in Python are files containing Python definitions and statements
Key components of a module include:
Docstrings: String literals that appear as the first statement in a module, function, class, or method definition
Provide a brief description of the module, function, or class and its purpose
Accessed using the
[__doc__](https://www.fiveableKeyTerm:__doc__)
attribute or the help() function
Variables: Names that are bound to objects within the module
Hold values of various data types (numbers, strings, lists, dictionaries)
Accessed using dot notation (
module.variable_name
)
Functions: Reusable blocks of code that perform specific tasks
Defined using the
def
keyword followed by the function name and parentheses containing function's parameters
Accept input arguments, perform operations, and return values
Accessed within a module using dot notation (
module.function_name()
)
Classes: Blueprint for creating objects in
Python Environment
: Executes Python code and provides access to
: Allows users to interact with the Python interpreter directly
Built-in functions: Pre-defined functions available in Python without importing additional modules