Course Content
Intermediate Python Techniques
Intermediate Python Techniques
1. Mastering Packing and Unpacking in Python
2. Mastering Function Arguments in Python
Python Function Arguments: Overview of Parameters and ArgumentsUsing *args in Python: Handling Variable-Length Positional ArgumentsChallenge: Calculating the Average Mark with *argsUsing **kwargs in Python: Flexible Keyword Arguments for Dynamic FunctionsChallenge: Mastering **kwargs in Python Functions
4. Understanding Variable Scope in Python
Global Variables in Python: Accessing and Modifying Global DataLocal Variables in Python: Understanding Function-Level ScopeChallenge: Modifying a Global Variable in PythonNested Functions in Python: Scope and AccessibilityNonlocal Variables in Python: Working with Enclosed ScopesPython Closures: Retaining State in Nested FunctionsChallenge: Implementing a Threshold Checker with Closures
5. Mastering Python Decorators
Introduction to Python DecoratorsPython Decorator Syntax: Writing and Applying DecoratorsChallenge: Create Your First Python DecoratorUsing Decorators with Parameters in PythonChaining Multiple Decorators: Advanced Function ModificationsChallenge: Basic Smores RecipePractical Examples of Python Decorator Usage in Real Applications
Packing in Python: Grouping Multiple Values into a Single Variable
To pack multiple variables, you need to use the *
iterable unpacking operator. Simply place an asterisk *
before the variable, and it will pack any number of variables. Packing a variable is only possible within a tuple or a list.
But the SyntaxError will occur if to use more than one unpacking operator.
*a, *b = 1, 2, 3, 4
*a, *b, *c = 1, 2, 3
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Section 1. Chapter 2