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- Python - Algorithm Design
- Python - Divide and Conquer
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Python Data Structures Useful Resources
Python - Data structures Tutorial
Computers store and process data with an extra ordinary speed and accuracy. So, it is highly essential that the data is stored efficiently and can be accessed fast. Also, the processing of data should happen in the smallest possible time, but without losing the accuracy.
Data structures deal with how the data is organised and held in the memory, when a program processes it. It is important to note that, the data that is stored in the disk as part of persistent storages (like relational tables) are not referred as data structure here.
An Algorithm is step by step set of instruction to process the data for a specific purpose. So, an algorithm utilises various data structures in a logical way to solve a specific computing problem.
In this tutorial, we will cover these two fundamental concepts of computer science using the Python programming language.
This Python Data Structures Tutorial is based on the Latest Python 3.14.2 version.
Python Online Compiler
Our Python Data Structures tutorial provides various examples to explain different concepts. We have provided Online Python Compiler/Interpreter. You can Edit and Execute almost all the examples directly from your browser without the need to set up your development environment.
Try to click the icon 
to run the following Python code to print conventional "Hello, World!".
Below code box allows you to change the value of the code. Try to change the value inside print() and run it again to verify the result.
# This is my first Python program.
# This will print 'Hello, World!' as the output
print ("Hello, World!");
Audience
This tutorial is designed for Computer Science graduates as well as Software Professionals who are willing to learn data structures and algorithm programming in simple and easy steps using Python as a programming language.
Prerequisites
Before proceeding with this tutorial, you should have a basic knowledge of writing code in Python programming language, using any python integrated development environment (IDE) and execution of Python programs. If you are completely new to python, then please refer our Python tutorial to get a sound understanding of the language.