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 Length

When dealing with a sizable list, you might want to know the number of items it contains. You can determine this using the len() function, which returns the count of elements in the list. Let's dive into how it operates!

Note
A nested list is considered a single item. The len() function doesn't count the individual items inside a nested list as separate items of the main list.

Task

Determine the length of the list you're working with.

Task

Determine the length of the list you're working with.

Everything was clear?

Section 1. Chapter 5

toggle bottom row

List Length

When dealing with a sizable list, you might want to know the number of items it contains. You can determine this using the len() function, which returns the count of elements in the list. Let's dive into how it operates!

Note
A nested list is considered a single item. The len() function doesn't count the individual items inside a nested list as separate items of the main list.

Task

Determine the length of the list you're working with.

Task

Determine the length of the list you're working with.

Everything was clear?

Section 1. Chapter 5

toggle bottom row

List Length

When dealing with a sizable list, you might want to know the number of items it contains. You can determine this using the len() function, which returns the count of elements in the list. Let's dive into how it operates!

Note
A nested list is considered a single item. The len() function doesn't count the individual items inside a nested list as separate items of the main list.

Task

Determine the length of the list you're working with.

Task

Determine the length of the list you're working with.

Everything was clear?

When dealing with a sizable list, you might want to know the number of items it contains. You can determine this using the len() function, which returns the count of elements in the list. Let's dive into how it operates!

Note
A nested list is considered a single item. The len() function doesn't count the individual items inside a nested list as separate items of the main list.

Task

Determine the length of the list you're working with.

Section 1. Chapter 5

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