Data Structures & Algorithms In Python Dsa Course

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Data Structures & Algorithms In Python: Dsa CoursePublished 7/2026
Created by Sharad Khare
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 22 Lectures ( 1h 12m ) | Size: 264.2 MB
Learn DSA with Python - lists, trees, graphs, searching & sorting
What you'll learn
⚡ Understand Data Structures and Algorithms - and how to combine them to write more efficient Python code
⚡ Implement core data structures in Python: lists, stacks, queues, linked lists, hash tables, trees, and graphs
⚡ Apply search and sort algorithms: linear/binary search and bubble, selection, insertion, quick, counting, radix, and merge sort
⚡ Choose the right data structure and algorithm for a problem based on time and space trade-offs
Requirements
❗ Basic knowledge of Python (variables, loops, functions, and simple lists)
❗ A computer with Python 3 installed (Windows, Mac, or Linux)
❗ Any code editor - VS Code is recommended
❗ No prior Data Structures or Algorithms experience needed - we start from the basics
Description
Master Data Structures and Algorithms using Python - and learn to write more efficient, interview-ready code.
Data Structures is about how data can be stored in different structures.
Algorithms is about how to solve different problems, often by searching through and manipulating those data structures.
Understanding DSA helps you find the best combination of Data Structures and Algorithms to create more efficient code.
If you know basic Python but struggle to choose the right approach for a problem, this course is for you. You will learn how data is organized in a computer, how algorithms search and sort that data, and how to combine both to solve real programming challenges with clarity and confidence.
What are Data Structures?
Data Structures are a way of storing and organizing data in a computer. Python has built-in support for several data structures, such as lists, dictionaries, and sets. Other data structures can be implemented using Python classes and objects, such as linked lists, stacks, queues, trees, and graphs.
In this course, we concentrate on these Data Structures
✨ Lists and Arrays
✨ Stacks
✨ Queues
✨ Linked Lists
✨ Hash Tables
✨ Trees (Binary Trees, Binary Search Trees, AVL Trees)
✨ Graphs
What are Algorithms?
Algorithms are a way of working with data in a computer and solving problems like sorting, searching, and more.
In this course, we concentrate on these search and sort Algorithms
✨ Linear Search
✨ Binary Search
✨ Bubble Sort
✨ Selection Sort
✨ Insertion Sort
✨ Quick Sort
✨ Counting Sort
✨ Radix Sort
✨ Merge Sort
Why learn DSA with Python?
✨ Python has a clean, readable syntax
✨ DSA improves your problem-solving skills
✨ DSA and Python help you write more efficient code
✨ DSA gives you a better understanding of memory storage
✨ DSA helps you handle complex programming challenges
✨ Python is widely used in Data Science and Machine Learning
How this course is taught
Every major topic follows a simple learning pattern: clear concept explanation, time and space complexity intuition, live Python implementation, practice problem walkthrough, and a short quiz to lock in learning. By the end, you will not only know the structures and algorithms - you will know when to use them.
Who this course is for
⭐ Beginners who know basic Python and want to learn Data Structures and Algorithms from scratch
⭐ Students preparing for coding interviews, campus placements, or technical assessments
⭐ Python developers who want to write cleaner, faster, and more efficient code
⭐ Aspiring Data Science or Machine Learning learners who need strong DSA foundations
⭐ Anyone who wants a clear, practical path to master DSA using Python
Homepage

Code:

https://www.udemy.com/course/data-structures-algorithms-in-python-dsa-course

Code:

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https://rapidgator.net/file/963dfc2d58ffd83b61fc8e8b44d72195/Data_Structures_&_Algorithms_in_Python_DSA_Course.rar.html

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