Kursinnehåll

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

High-Order Functions in Python: Passing Functions as Arguments

A high-order function in programming is a function that can either take other functions as arguments or return a function as its result, or both. This concept is closely related to first-class functions, which are treated like any other variable in a language (can be stored in a variable, passed as an argument to a function, or used in control statements). High-order functions are a key feature in functional programming, enabling more abstract or general-purpose code, facilitating code reuse, and making it easier to manipulate functions or data.


              123456789
            
def square(x):
    return x * x

numbers = [1, 2, 3, 4, 5]
squared_numbers = map(square, numbers)

# Convert the map object to a list
squared_numbers_list = list(squared_numbers)
print(squared_numbers_list)

A classic example of a high-order function is the map function in Python. This function takes two arguments: a function and an iterable (like a list). It applies the given function to each item of the iterable and returns a map object (which can be easily converted into a list or another iterable type).

In this example:

square is a simple function that squares its input.
map is the high-order function that takes square and a list of numbers as arguments.
The result is each number in the list numbers squared.

Uppgift

Swipe to start coding

Suppose you have a list of temperatures in Celsius, and you want to convert all of them to Fahrenheit. The goal will be to apply a custom transformation to each element in the list using map.

Create a list of numeric values representing temperatures in Celsius.
Define a function that converts a temperature from Celsius to Fahrenheit.
Apply the custom function to each element in the list using map.
Convert the result from map into a list and print it to see the converted temperatures.

Lösning

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Var allt tydligt?

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Avsnitt 3. Kapitel 1

High-Order Functions in Python: Passing Functions as Arguments


              123456789
            
def square(x):
    return x * x

numbers = [1, 2, 3, 4, 5]
squared_numbers = map(square, numbers)

# Convert the map object to a list
squared_numbers_list = list(squared_numbers)
print(squared_numbers_list)

In this example:

square is a simple function that squares its input.
map is the high-order function that takes square and a list of numbers as arguments.
The result is each number in the list numbers squared.

Uppgift

Swipe to start coding

Suppose you have a list of temperatures in Celsius, and you want to convert all of them to Fahrenheit. The goal will be to apply a custom transformation to each element in the list using map.

Create a list of numeric values representing temperatures in Celsius.
Define a function that converts a temperature from Celsius to Fahrenheit.
Apply the custom function to each element in the list using map.
Convert the result from map into a list and print it to see the converted temperatures.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 3. Kapitel 1

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan