Native lesson simulator
Bubble sort
DSA with Python
Start with the unsorted array.
Flash cards
Review the key moves
What is the main idea behind DSA with Python?
Lesson checks
Practice each idea before moving on
Short Mimo-style checks built from this lesson's code, terms, and sequence.
Which statement best captures the main point of this lesson?
Put the learning moves in the order that makes the concept easiest to apply.
Data Structures is about how data can be stored in different structures.
Algorithms is about how to solve different problems, often by searching through and manipulating data structures.
Understanding DSA helps you to find the best combination of Data Structures and Algorithms to create more efficient code.
Data Structures
Data Structures are a way of storing and organizing data in a computer.
Python has built-in support for several data structures, such as lists, dictionaries, and sets.
Other data structures can be implemented using Python classes and objects, such as linked lists, stacks, queues, trees, and graphs.
In this tutorial we will concentrate on these Data Structures:
- Lists and Arrays
- Stacks
- Queues
- Linked Lists
- Hash Tables
- Trees Binary Trees Binary Search Trees AVL Trees
- Graphs
- Binary Trees
- Binary Search Trees
- AVL Trees
Algorithms
Algorithms are a way of working with data in a computer and solving problems like sorting, searching, etc.
In this tutorial we will concentrate on these search and sort Algorithms:
- Linear Search
- Binary Search
- Bubble Sort
- Selection Sort
- Insertion Sort
- Quick Sort
- Counting Sort
- Radix Sort
- Merge Sort
Why Learn DSA with Python
- Python has a clean readable syntax
- DSA allows you to improve problem-solving skills
- DSA and Python helps you write more efficient code
- DSA gives you a better understanding of memory storage
- DSA helps you handle complex programming challenges
- Python is widely used in Data Science and Machine Learning