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Keep shoppingPython DSA : 100 Coding Exercise, Beginner to Advanced Level
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Python DSA : 100 Coding Exercise, Beginner to Advanced Level
Practice DSA with Python | 100 Exercises | 20 DSA Topics | Beginner to Advanced | Hands-On Practice
Created byAutoPilot DevOps
Last updated 6/2026
English
What you'll learn
- Solve Python coding exercises across core DSA topics with confidence
- Implement and apply fundamental data structures including Arrays, Linked Lists, Stacks, Queues, Trees, and Graphs in Python
- Write Python solutions for classic algorithm problems covering Sorting, Searching, Recursion, and Backtracking
- Tackle advanced DSA concepts including Dynamic Programming, Greedy Algorithms, Tries, and Disjoint Sets
- Approach coding problems systematically by breaking them down from Beginner to Advanced difficulty levels
- Strengthen problem-solving muscle memory through deliberate, structured coding practice in Python
- Build readiness for coding assessments, technical evaluations, and real-world algorithm challenges
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Coding Exercises
This course includes our updated coding exercises so you can practice your skills as you learn.
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Course content
21 sections • 121 lectures • 59m total length
Requirements
- Basic knowledge of Python programming — variables, loops, functions, and conditionals
- No prior DSA experience required , exercises start from Beginner level and progress gradually
Description
Are you struggling to practice Data Structures and Algorithms in a structured, progressive way ?
Most DSA courses overwhelm you with hours of theory and passive video watching but real mastery comes from solving problems. This course is built entirely around hands-on coding exercises designed to sharpen your problem-solving skills in Python, one problem at a time.
What You Get
This course gives you 100 carefully designed Python coding exercises spanning 20 essential DSA topics:
Arrays, Linked Lists, Stacks, Queues, Strings, Trees, Binary Search Trees, Tries, Heaps, Graphs, Hashing, Sorting Algorithms, Searching Algorithms, Recursion, Backtracking, Dynamic Programming, Greedy Algorithms, Sliding Window, Bit Manipulation, and Disjoint Sets.
Every topic follows a consistent 3-level structure:
2 Beginner exercises - build foundational confidence
2 Intermediate exercises - deepen your understanding
1 Advanced exercise - challenge your problem-solving limits
Who Is This Course For?
Python developers who want to strengthen their DSA fundamentals
Computer science students preparing for exams and assessments
Self-taught developers looking to fill knowledge gaps
Anyone who learns best by doing, not just watching
Why This Course Is Different
Most exercise sets throw random problems at you with no structure. This course is intentionally organized - you always know your current level, your next challenge, and exactly which topic you are practicing. The progression from Beginner to Intermediate to Advanced within each topic builds genuine competence, not just familiarity.
What You Will Learn
Solve problems across all major DSA categories used in real-world software development
Recognize patterns and apply the right data structure or algorithm confidently
Write clean, efficient Python solutions under constraints
Build the problem-solving muscle memory that separates good developers from great ones
No fluff. No filler. Just 100 focused coding exercises to make you a stronger Python developer.
Enroll now and start solving ( For Dynamic Programming, LeetCode, and FAANG )
Who this course is for:
- Beginners and intermediate programmers looking for a structured, progressive set of DSA exercises to build real problem-solving confidence in Python
- Anyone preparing for coding assessments, college placements, or technical evaluations who wants consistent, topic-wise DSA practice in Python
- Python developers and students who want to strengthen their Data Structures and Algorithms skills through focused, hands-on coding practice