Intermediate Python Techniques

Kursinnehåll

Intermediate Python Techniques

Intermediate Python Techniques

1. Mastering Packing and Unpacking in Python

Unpacking in Python: Extracting Values from Lists and Tuples Packing in Python: Grouping Multiple Values into a Single Variable Using Packing and Unpacking for Efficient Code in Python Challenge: Mastering Dictionary Unpacking in Python Challenge: The Champions League

2. Mastering Function Arguments in Python

Python Function Arguments: Overview of Parameters and Arguments Using *args in Python: Handling Variable-Length Positional Arguments Challenge: Calculating the Average Mark with *args Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions Challenge: Mastering **kwargs in Python Functions

3. Function as an Argument in Python

High-Order Functions in Python: Passing Functions as Arguments Lambda Functions in Python: Writing Concise and Anonymous Functions Using Python Built-in Functions

4. Understanding Variable Scope in Python

Global Variables in Python: Accessing and Modifying Global Data Local Variables in Python: Understanding Function-Level Scope Challenge: Modifying a Global Variable in Python Nested Functions in Python: Scope and Accessibility Nonlocal Variables in Python: Working with Enclosed Scopes Python Closures: Retaining State in Nested Functions Challenge: Implementing a Threshold Checker with Closures

5. Mastering Python Decorators

Introduction to Python Decorators Python Decorator Syntax: Writing and Applying Decorators Challenge: Create Your First Python Decorator Using Decorators with Parameters in Python Chaining Multiple Decorators: Advanced Function Modifications Challenge: Basic Smores Recipe Practical Examples of Python Decorator Usage in Real Applications

Nested Functions in Python: Scope and Accessibility

This topic will not only help understand the nonlocal scope but also closures and decorators.

Functions are first-class citizens in Python. They can be:

Passed as arguments to functions;
Returned from functions;
Modified;
Assigned to variables.

Let's explore some examples:


python

In programming, a nested function is a function that is defined inside another function.


              123456
            
def count_percent(num1, num2, num3):
	def inner(num):
		return num * 30 / 100
	return (inner(num1), inner(num2), inner(num3))

print(count_percent(700, 300, 1000))

Useful if you want to perform a complex task multiple times within another function without repeating code.

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 4

Fråga AI

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

Kursinnehåll

Intermediate Python Techniques

Intermediate Python Techniques

1. Mastering Packing and Unpacking in Python

Unpacking in Python: Extracting Values from Lists and Tuples Packing in Python: Grouping Multiple Values into a Single Variable Using Packing and Unpacking for Efficient Code in Python Challenge: Mastering Dictionary Unpacking in Python Challenge: The Champions League

2. Mastering Function Arguments in Python

Python Function Arguments: Overview of Parameters and Arguments Using *args in Python: Handling Variable-Length Positional Arguments Challenge: Calculating the Average Mark with *args Using **kwargs in Python: Flexible Keyword Arguments for Dynamic Functions Challenge: Mastering **kwargs in Python Functions

3. Function as an Argument in Python

High-Order Functions in Python: Passing Functions as Arguments Lambda Functions in Python: Writing Concise and Anonymous Functions Using Python Built-in Functions

4. Understanding Variable Scope in Python

Global Variables in Python: Accessing and Modifying Global Data Local Variables in Python: Understanding Function-Level Scope Challenge: Modifying a Global Variable in Python Nested Functions in Python: Scope and Accessibility Nonlocal Variables in Python: Working with Enclosed Scopes Python Closures: Retaining State in Nested Functions Challenge: Implementing a Threshold Checker with Closures

5. Mastering Python Decorators

Introduction to Python Decorators Python Decorator Syntax: Writing and Applying Decorators Challenge: Create Your First Python Decorator Using Decorators with Parameters in Python Chaining Multiple Decorators: Advanced Function Modifications Challenge: Basic Smores Recipe Practical Examples of Python Decorator Usage in Real Applications

Nested Functions in Python: Scope and Accessibility

This topic will not only help understand the nonlocal scope but also closures and decorators.

Functions are first-class citizens in Python. They can be:

Passed as arguments to functions;
Returned from functions;
Modified;
Assigned to variables.

Let's explore some examples:


python

In programming, a nested function is a function that is defined inside another function.


              123456
            
def count_percent(num1, num2, num3):
	def inner(num):
		return num * 30 / 100
	return (inner(num1), inner(num2), inner(num3))

print(count_percent(700, 300, 1000))

Useful if you want to perform a complex task multiple times within another function without repeating code.

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 4. Kapitel 4

some-alt