Learning Data Structures Algorithms In Python From Scratch
Tags: Data Structures
Implement Data Structures and Algorithms in Python
Last updated 2022-01-10 | 4.4
- Learn Data Structures- Abstract Data Types and their implementation in Python
- Implementation of Searching Algorithms in Python
- Implementation of Stacks
- Queues
- Linked List
- Binary Trees
- Heaps and Graphs in Python
What you'll learn
* Requirements
* Prior knowledge of Programming any high level language* Basic knowledge of Python Programming
Description
This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in high-level programming language. This course consists of lectures on data structures and algorithms which covers the computer science theory + implementation of data structures in python language. This course will also help students to face interviews at the top technology companies. This course is like having personal tutors to teach you about data structures and algorithms.
There’s tons of concepts and content in this course. To begin the course:
We have a discussion of why we need data structures.
Then we move on to discuss Analysis of Algorithms ie Time and Space complexity, though the Asymptotic Notation ie Big O, Omega and Theta are taken up at the end of this course so that you do not get confused and concentrate on understanding the concepts of data structures.
We have a programming environment setup to make sure you have all the software you need in order to get the hands-on experience in implementing Data structures and algorithms.
Then we get to the essence of the course; algorithms and data structures. Each of the specific algorithms and data structures is divided into two sections. Theory lectures and implementation of those concepts in Python. We then move on to learn:
Recursion
Stacks, Queues, Deques
Linked List
Trees & Binary Trees
Binary Search Trees
Priority Queues and Heaps
Graphs & Graph Traversal Algorithms
Searching and Sorting algorithms
Again, each of these sections includes theory lectures covering data structures & their Abstract Data Types and/or algorithms. Plus the implementation of these topics in Python.
Who this course is for:
- Students who want to have better understanding of Data Structures
- Python programmers curious about Data Structures
- IT Professional experimenting implementation of Data Structures in Python
Course content
16 sections • 261 lectures
Course Introduction Preview 03:12
Get the most out of this course Preview 02:40
Why we need Data Structure ? Preview 02:35
Why Learn Algorithms ? Preview 05:12
Abstract Data Type (ADT) Preview 09:17
Python Installation on Windows Preview 03:51
PyCharm (IDE) Installation on Windows Preview 05:33
First Python Program, Data Types and Variables Preview 15:13
Integers & Float Data Types Preview 02:18
Strings Data Types Preview 05:12
Boolean & None Data Types Preview 06:06
Arithmetic Operators & Integer Division Preview 09:27
Relational or Comparison Operators Preview 09:58
Logical Operators Preview 08:26
input() Function Preview 07:13
print() Function Preview 05:06
if, if-else and elif Statements Preview 22:27
range() Function Preview 05:43
while() & for() Loops Preview 19:10
break & continue Statements Preview 08:30
What are Lists? Preview 08:00
Using Lists and List Indexing Preview 05:08
What are Tuples ? Preview 04:24
Tuple Indexing Preview 04:45
Membership & Identity Operators Preview 02:19
What are Dictionaries? Preview 04:26
Using Dictionaries Preview 08:13
What are Functions? Preview 08:10
Writing Functions in Python? Preview 04:48
Importing Modules in Python Preview 07:32
Creating Your Own Modules Preview 06:37
Fundamentals of Object Oriented Programming Preview 02:49
Defining Classes & Creating Objects Preview 12:44
More on __init__ Method (Constructor) Preview 03:06
Understanding self Parameter Preview 03:11
Static and Local Variables Preview 06:49
Time Complexity Preview 15:06
Time and Space Complexity