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Questions and Answers
What is a concise way to create a list in Python by defining the elements in one line?
What is a concise way to create a list in Python by defining the elements in one line?
Which function allows you to create a list from a dictionary by extracting the values?
Which function allows you to create a list from a dictionary by extracting the values?
What is the result of my_list = list('Hello') in Python?
What is the result of my_list = list('Hello') in Python?
How can you store the square of each number in the range from 0 to 9 into a Python list?
How can you store the square of each number in the range from 0 to 9 into a Python list?
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Which data types can be included as items in a Python list?
Which data types can be included as items in a Python list?
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How would you add elements to an existing Python list?
How would you add elements to an existing Python list?
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Which syntax is used to create a Python list?
Which syntax is used to create a Python list?
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'List comprehension' allows you to create a list by defining elements using:
'List comprehension' allows you to create a list by defining elements using:
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'my_dict = {'a': 1, 'b': 2, 'c': 3}' defines a dictionary. How can you create a Python list that contains only the keys of this dictionary?
'my_dict = {'a': 1, 'b': 2, 'c': 3}' defines a dictionary. How can you create a Python list that contains only the keys of this dictionary?
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'contiguous memory locations' make Python lists efficient for:
'contiguous memory locations' make Python lists efficient for:
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Study Notes
Python lists are a fundamental data structure in the Python programming language. They are ordered collections of items that are stored in contiguous memory locations, making them efficient for inserting and deleting elements. This article will focus on the creation of Python lists.
To create a Python list, you can use the following syntax:
my_list = [item1, item2, item3]
Replace item1, item2, and item3 with the actual items you want to include in your list. The items in the list can be of any data type, including other lists.
Another way to create a list is by using list comprehension. List comprehension is a concise way to create a list by defining the elements in one line. Here's an example:
my_list = [x**2 for x in range(10)]
In this example, x**2 calculates the square of each number in the range from 0 to 9, and these squares are stored in the resulting list.
You can also create a list from an existing list or other data structures using the list() function. For example:
my_list = list('Hello')
This will create a list containing each character in the string 'Hello'.
Additionally, you can create a list from a dictionary using the values() method with a dictionary comprehension. Here's an example:
my_dict = {'a': 1, 'b': 2, 'c': 3}
my_list = [v for k, v in my_dict.items()]
This will create a list containing the values from the dictionary my_dict, where the keys are not considered.
In summary, creating a Python list involves defining the items in the list using the appropriate syntax, whether it's the regular list creation or using list comprehension. Python lists can be created from various data structures, including strings and dictionaries, using the list() function and dictionary comprehension.
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Description
Learn about different techniques for creating Python lists, including the standard list creation syntax, list comprehension, converting strings and dictionaries into lists, and more. Understand how to efficiently initialize Python lists with various data types.
