
This course includes our updated coding exercises so you can practice your skills as you learn.
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Data structures organize data for efficient operations, using integers, floats, characters, and strings as building blocks, and split into linear structures (arrays, lists, stacks, queues) and non-linear (trees, graphs, heaps).
Master big O notation to assess algorithm efficiency by measuring time and space growth with input size, from constant to quadratic complexities.
Learn how linked list operations vary in time, with prepend, delete first, and append taking constant time, while traversing, searching, inserting after, and removing non-first nodes take linear time.
Solve the LeetCode reverse linked list challenge by iterating with prev, current, and next pointers to reverse each node and return the new head, achieving linear time and constant space.
Learn to find the middle node of a singly linked list using fast and slow pointers; handle odd and even lengths and analyze O(n) time and O(1) space.
Welcome to the Data Structures and Algorithms in Python Course!
Are you a Python programmer who wants to write efficient code and improve your programming and problem solving skills ?
Do you have an upcoming coding interview and you want to ace it with confidence ?
If the answer is yes, then this course is the right choice for you!
In this course you will learn everything about Data Structures and Algorithms and how to implement and use them in Python.
The concepts are explained with animations which makes it much more easier to understand and memorize.
You will also apply your knowledge throughout the course via coding exercises and Leetcode coding challenges with video solutions.
The course covers the following topics:
General
Why Should You Learn Data Structures and Algorithms ?
What are Data Structures ?
What are Algorithms ?
Big O Notation
Linear Complexity - O(n)
Constant Complexity - O(1)
Quadratic Complexity - O(n^2)
Logarithmic Complexity - O(logn)
Constants in Big O
Dominant and Non-Dominant Factors in Big O
Complexities Comparison
Data Structures
Linked Lists
Doubly Linked Lists
Stacks
Queues
Sets
Trees
Tries
Heaps
Hash Tables
Graphs
Algorithms
Linear Search
Binary Search
Bubble Sort
Insertion Sort
Selection Sort
Merge Sort
Recursion
Tree Traversal
Graph Traversal
I'm confident that you will enjoy this course, but if you for some reason are not happy with the course it's backed by Udemy's 30 day money back guarantee, so nothing to lose :)
I'm excited to see you in the course, hit that enroll button and start your mastering Data Structures & Algorithms journey :)