Python Data Structures

Python Data Structures

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1. List

What is a list? A list is an ordered collection that can be modified. It also allows for duplicate elements.

Creating a List

Challenge: Create a List

Lists Are Mutable

Append() Method

Insert() Method

Deleting Elements

Removing Elements

List Comprehensions

2. Dictionary

What is a dictionary? A dictionary is an ordered collection that can be changed, but it doesn't allow duplicate entries. It consists of `key:value` pairs, which are used to optimize its structure.

Creating a Dictionary

Challenge: Craft the Dictionary

Extraction of Information

Popitem() Method

Dictionary Comprehensions

3. Tuple

What is a tuple? A tuple is an ordered collection that cannot be altered. It can have duplicate elements. While it's similar to a list, the values in a tuple can be of any type and are indexed by integers. Although not mandatory, it's common to enclose the values of a tuple in parentheses, making them easier to understand in Python.

Creating a Tuple

Accessing Elements of a Tuple

Concatenation of Tuples

Challenge: Concatenate Tuples

4. Set

What is a set? In Python, a `set` is an unordered collection that is both `iterable` and `mutable`, with no repeated elements. While the order of items in a set isn't fixed, it can include a variety of elements. A key benefit of using sets over lists is their highly efficient method for determining if an element exists within the set.

Update() Method

Accessing the Elements of a Set

Remove() and Discard() Methods

List Indexing

In Python, lists allow for element indexing. This means we can access each item in the list by its index. Remember, indexing in lists starts at 0. So, the first item is at index 0, the second at index 1, and so forth.

We've covered positive indexing, but there's also something called negative indexing. Negative indexing starts from the end of the list. For instance, index -1 refers to the last item, index -2 points to the second-to-last item, and so on.

Let's put this into practice.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Everything was clear?

Section 1. Chapter 4

toggle bottom row

List Indexing

In Python, lists allow for element indexing. This means we can access each item in the list by its index. Remember, indexing in lists starts at 0. So, the first item is at index 0, the second at index 1, and so forth.

We've covered positive indexing, but there's also something called negative indexing. Negative indexing starts from the end of the list. For instance, index -1 refers to the last item, index -2 points to the second-to-last item, and so on.

Let's put this into practice.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Everything was clear?

Section 1. Chapter 4

toggle bottom row

List Indexing

In Python, lists allow for element indexing. This means we can access each item in the list by its index. Remember, indexing in lists starts at 0. So, the first item is at index 0, the second at index 1, and so forth.

We've covered positive indexing, but there's also something called negative indexing. Negative indexing starts from the end of the list. For instance, index -1 refers to the last item, index -2 points to the second-to-last item, and so on.

Let's put this into practice.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Everything was clear?

In Python, lists allow for element indexing. This means we can access each item in the list by its index. Remember, indexing in lists starts at 0. So, the first item is at index 0, the second at index 1, and so forth.

We've covered positive indexing, but there's also something called negative indexing. Negative indexing starts from the end of the list. For instance, index -1 refers to the last item, index -2 points to the second-to-last item, and so on.

Let's put this into practice.

Task

You're given: list_1 = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']. Your task is to extract the first, third, fifth, and seventh items from this list and create a new list with these items, using positive indices only.

Section 1. Chapter 4

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