Intermediate Python Techniques
Course
1378 Learners Already enrolled- Master the utilization of function arguments to enhance flexibility and efficiency in code.
- Develop proficiency in managing variable scopes to maintain well-structured and error-free code.
- Acquire the capability to utilize decorators for extending and modifying the behavior of functions or classes.
- Explore the intricacies of iterators, generators, and closures to facilitate more effective code execution.
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There are 6 modules in this course
In this course, you will learn advanced topics such as function arguments, iterators, generators, closures, and decorators. Dozens of practice exercises will help you grasp these topics.- Python Function Arguments: Overview of Parameters and ArgumentsPreview
- Using *args in Python: Handling Variable-Length Positional ArgumentsPreview
- Challenge: Calculating the Average Mark with *argsPreview
- Using **kwargs in Python: Flexible Keyword Arguments for Dynamic FunctionsPreview
- Challenge: Mastering **kwargs in Python FunctionsPreview
- Global Variables in Python: Accessing and Modifying Global DataPreview
- Local Variables in Python: Understanding Function-Level ScopePreview
- Challenge: Modifying a Global Variable in PythonPreview
- Nested Functions in Python: Scope and AccessibilityPreview
- Nonlocal Variables in Python: Working with Enclosed ScopesPreview
- Python Closures: Retaining State in Nested FunctionsPreview
- Challenge: Implementing a Threshold Checker with ClosuresPreview
- Introduction to Python DecoratorsPreview
- Python Decorator Syntax: Writing and Applying DecoratorsPreview
- Challenge: Create Your First Python DecoratorPreview
- Using Decorators with Parameters in PythonPreview
- Chaining Multiple Decorators: Advanced Function ModificationsPreview
- Challenge: Basic Smores RecipePreview
- Practical Examples of Python Decorator Usage in Real ApplicationsPreview
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Showing 3 of 28 reviews
Alessio Fuoco
5
Reviewed on Mar 4, 2025
Genesis Rios
5
Reviewed on Mar 4, 2025
Abdalla Ahmed
5
Reviewed on Feb 24, 2025
good topics i really enjoyed it
Recommended if you're interested in learning Python
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