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Python Basics and Data Structures πŸπŸ” Welcome to the Python Basics and Data Structures repo! This repository covers key Python concepts and essential data structures with explanations, code samples, and practice problems.

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Python Basics and Data Structures

Welcome to the Python Basics and Data Structures repository! This repo covers key Python concepts and essential data structures with explanations, code samples, and practice problems.

Table of Contents

  1. Python Basics
  2. Control Structures
  3. Functions and Modules
  4. Lists, Tuples, Sets, Dictionaries
  5. Stacks, Queues, Linked Lists
  6. Trees, Graphs, Heaps
  7. Sorting and Searching Algorithms

Python Basics

Learn the syntax and basic constructs of Python, including variables, data types, and basic operations.

Control Structures

Understand how to use loops and conditional statements to control the flow of your programs.

Functions and Modules

Get to know how to write reusable code using functions and how to organize your code with modules.

Lists, Tuples, Sets, Dictionaries

Explore Python's built-in data structures: lists, tuples, sets, and dictionaries, and understand their uses.

Stacks, Queues, Linked Lists

Learn about these fundamental data structures, their implementations, and applications.

Trees, Graphs, Heaps

Dive into more complex data structures and learn about their properties and operations.

Sorting and Searching Algorithms

Master common sorting and searching algorithms to efficiently manipulate and query data.

Start your journey to mastering Python and data structures here!

How to Contribute

Feel free to clone, fork, and contribute to this repository. Pull requests are welcome!


Happy coding!

Hashtags

#Python #DataStructures #DSA #PythonBasics #Algorithms #Coding #Programming #LearnPython #PythonForBeginners #PythonDSA

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Python Basics and Data Structures πŸπŸ” Welcome to the Python Basics and Data Structures repo! This repository covers key Python concepts and essential data structures with explanations, code samples, and practice problems.

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