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Built-in Functions | Function as an Argument
Intermediate Python: Arguments, Scopes and Decorators
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Intermediate Python: Arguments, Scopes and Decorators

Intermediate Python: Arguments, Scopes and Decorators

1. Packing and Unpacking
2. Arguments in Function
3. Function as an Argument
4. Variable Scope
5. Decorators

bookBuilt-in Functions

Here are two more examples demonstrating the use of lambda functions with the filter() and sorted() functions in Python.

Alternatively, you can pass a more complex custom function instead of a lambda to these high-order functions.

filter()

The filter() function is used to create an iterator from elements of an iterable for which a function returns true. Here's an example using filter() with a lambda function to filter out odd numbers from a list:

12345678
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Using a lambda function to filter out odd numbers even_numbers = filter(lambda x: x % 2 == 0, numbers) # Convert the filter object to a list even_numbers_list = list(even_numbers) print(even_numbers_list)
copy

In this example, the lambda function lambda x: x % 2 == 0 checks if a number is even. The filter() function applies this lambda to each element in the list of numbers and returns an iterator of even numbers.

sorted()

The sorted() function returns a new sorted list from the elements of any iterable.

  • iterable is the sequence to sort (list, dict, tuple, etc);
  • key is a function to execute to decide the order;
  • reverse is a boolean. False is an ascending order, and True is descending. The default is False.

Here's an example using sorted() with a lambda function to sort a list of tuples based on the second element in each tuple:

123456
tuples = [(1, 'banana'), (2, 'apple'), (3, 'orange')] # Using a lambda function to sort by the second element of each tuple sorted_tuples = sorted(tuples, key=lambda x: x[1]) print(sorted_tuples)
copy

In this example, the lambda function lambda x: x[1] returns the second element of each tuple. The sorted() function then sorts the list tuples based on these second elements, resulting in a list sorted alphabetically by the fruit names.

Tarefa

Let's consider a list of dictionaries representing books, and you want to filter out books that have a certain number of pages.

  1. Define the list of books. books is a list of dictionaries. Each dictionary represents a book with two keys: "title" and "pages".
  2. Creating the custom function has_many_pages that accepts book and min_pages arguments.
  3. Use filter() with the custom function.
  4. Converte the filter object to a list, store it to the filtered_books_list variable, and print it.

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Seção 3. Capítulo 3
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bookBuilt-in Functions

Here are two more examples demonstrating the use of lambda functions with the filter() and sorted() functions in Python.

Alternatively, you can pass a more complex custom function instead of a lambda to these high-order functions.

filter()

The filter() function is used to create an iterator from elements of an iterable for which a function returns true. Here's an example using filter() with a lambda function to filter out odd numbers from a list:

12345678
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Using a lambda function to filter out odd numbers even_numbers = filter(lambda x: x % 2 == 0, numbers) # Convert the filter object to a list even_numbers_list = list(even_numbers) print(even_numbers_list)
copy

In this example, the lambda function lambda x: x % 2 == 0 checks if a number is even. The filter() function applies this lambda to each element in the list of numbers and returns an iterator of even numbers.

sorted()

The sorted() function returns a new sorted list from the elements of any iterable.

  • iterable is the sequence to sort (list, dict, tuple, etc);
  • key is a function to execute to decide the order;
  • reverse is a boolean. False is an ascending order, and True is descending. The default is False.

Here's an example using sorted() with a lambda function to sort a list of tuples based on the second element in each tuple:

123456
tuples = [(1, 'banana'), (2, 'apple'), (3, 'orange')] # Using a lambda function to sort by the second element of each tuple sorted_tuples = sorted(tuples, key=lambda x: x[1]) print(sorted_tuples)
copy

In this example, the lambda function lambda x: x[1] returns the second element of each tuple. The sorted() function then sorts the list tuples based on these second elements, resulting in a list sorted alphabetically by the fruit names.

Tarefa

Let's consider a list of dictionaries representing books, and you want to filter out books that have a certain number of pages.

  1. Define the list of books. books is a list of dictionaries. Each dictionary represents a book with two keys: "title" and "pages".
  2. Creating the custom function has_many_pages that accepts book and min_pages arguments.
  3. Use filter() with the custom function.
  4. Converte the filter object to a list, store it to the filtered_books_list variable, and print it.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 3
toggle bottom row

bookBuilt-in Functions

Here are two more examples demonstrating the use of lambda functions with the filter() and sorted() functions in Python.

Alternatively, you can pass a more complex custom function instead of a lambda to these high-order functions.

filter()

The filter() function is used to create an iterator from elements of an iterable for which a function returns true. Here's an example using filter() with a lambda function to filter out odd numbers from a list:

12345678
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Using a lambda function to filter out odd numbers even_numbers = filter(lambda x: x % 2 == 0, numbers) # Convert the filter object to a list even_numbers_list = list(even_numbers) print(even_numbers_list)
copy

In this example, the lambda function lambda x: x % 2 == 0 checks if a number is even. The filter() function applies this lambda to each element in the list of numbers and returns an iterator of even numbers.

sorted()

The sorted() function returns a new sorted list from the elements of any iterable.

  • iterable is the sequence to sort (list, dict, tuple, etc);
  • key is a function to execute to decide the order;
  • reverse is a boolean. False is an ascending order, and True is descending. The default is False.

Here's an example using sorted() with a lambda function to sort a list of tuples based on the second element in each tuple:

123456
tuples = [(1, 'banana'), (2, 'apple'), (3, 'orange')] # Using a lambda function to sort by the second element of each tuple sorted_tuples = sorted(tuples, key=lambda x: x[1]) print(sorted_tuples)
copy

In this example, the lambda function lambda x: x[1] returns the second element of each tuple. The sorted() function then sorts the list tuples based on these second elements, resulting in a list sorted alphabetically by the fruit names.

Tarefa

Let's consider a list of dictionaries representing books, and you want to filter out books that have a certain number of pages.

  1. Define the list of books. books is a list of dictionaries. Each dictionary represents a book with two keys: "title" and "pages".
  2. Creating the custom function has_many_pages that accepts book and min_pages arguments.
  3. Use filter() with the custom function.
  4. Converte the filter object to a list, store it to the filtered_books_list variable, and print it.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Here are two more examples demonstrating the use of lambda functions with the filter() and sorted() functions in Python.

Alternatively, you can pass a more complex custom function instead of a lambda to these high-order functions.

filter()

The filter() function is used to create an iterator from elements of an iterable for which a function returns true. Here's an example using filter() with a lambda function to filter out odd numbers from a list:

12345678
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Using a lambda function to filter out odd numbers even_numbers = filter(lambda x: x % 2 == 0, numbers) # Convert the filter object to a list even_numbers_list = list(even_numbers) print(even_numbers_list)
copy

In this example, the lambda function lambda x: x % 2 == 0 checks if a number is even. The filter() function applies this lambda to each element in the list of numbers and returns an iterator of even numbers.

sorted()

The sorted() function returns a new sorted list from the elements of any iterable.

  • iterable is the sequence to sort (list, dict, tuple, etc);
  • key is a function to execute to decide the order;
  • reverse is a boolean. False is an ascending order, and True is descending. The default is False.

Here's an example using sorted() with a lambda function to sort a list of tuples based on the second element in each tuple:

123456
tuples = [(1, 'banana'), (2, 'apple'), (3, 'orange')] # Using a lambda function to sort by the second element of each tuple sorted_tuples = sorted(tuples, key=lambda x: x[1]) print(sorted_tuples)
copy

In this example, the lambda function lambda x: x[1] returns the second element of each tuple. The sorted() function then sorts the list tuples based on these second elements, resulting in a list sorted alphabetically by the fruit names.

Tarefa

Let's consider a list of dictionaries representing books, and you want to filter out books that have a certain number of pages.

  1. Define the list of books. books is a list of dictionaries. Each dictionary represents a book with two keys: "title" and "pages".
  2. Creating the custom function has_many_pages that accepts book and min_pages arguments.
  3. Use filter() with the custom function.
  4. Converte the filter object to a list, store it to the filtered_books_list variable, and print it.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 3
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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