Data Structures with Python
What you'll learn
- Data Structures in Python
- All the way from the Built-in to User defined data structures intuition with implementation
- Understand OOPS Concept required to build User-defined Data Structures
- How to solve and approach a Data-Structure Problem
- Understand applications of Data Structures
- Know and determine Time-Complexities of Operations over Data-Structures
- Discover methods on Data-Structures
- Solved problems so that it's easy to start off practicing
- Download The Whole Code
Requirements
- Basics of Python like variables , methods and operators.
Description
Learn Data Structures in Python all the way from Built-in to User-Defined.
It's Beginner Friendly with intuition followed by code tutorials, So It's Easy to Understand and Visualise a Data Structure.
Solving Problems would be easier after learning the Data Structure as you have better intuition.
Course Design: (Intuition) + (Code walkthrough) + (Time-Complexity + Application of that Data Structure)
Data Structures Include:
Lists
Tuples
Sets
Dictionaries
2-D Arrays
OOP For understanding data structures
Stacks
Queues
Deque
Linked-Lists
Doubly Linked Lists
Circular Linked Lists
Trees
Binary Trees
Binary Search Trees + Traversals
AVL Trees
Heaps + Heap sort
Priority Queue
HashMaps/HashTables
Graphs + Properties
Graph Traversals
Spanning Trees + MST
Prims + Kruskals Algorithms for MST
Tries (Keyword Trees)
Take Away Section.
Who this course is for:
- Python developers who have basics and want to crack coding interviews
- Developers who want to improve python for data structures and implement them in interviews
- Beginners in python who want to have data structures foundation
- Students who want to start competitive programming
Course content
- 00:37What is this Course About?
- 00:26How to get most of it?
Instructor
![Neeraj Adityananth P](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.3 Instructor Rating
- 114 Reviews
- 22,496 Students
- 1 Course
I'm a sophomore pursuing computer science
I'd love to code and solve real-world problems.
I mostly use python to code my projects and solve algorithmic challenges
l also love to contribute to open source
I'm more into data science and artificial intelligence and also into the research of optimizing algorithms which will increase their performance.