Bubble Sort
Trace comparisons, swaps and passes step by step.
Open lesson →Enter your name, choose a Data Structures and Algorithms path, answer a few questions, and get a specialized syllabus with a 7-day starting plan.
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Choose Python DSA Beginner. It is the easiest path for learning logic, loops, arrays, recursion and sorting step by step.
Trace comparisons, swaps and passes step by step.
Open lesson →Build the foundation needed before DSA.
Open lesson →Practice for, while and nested loops for DSA thinking.
Open lesson →See function calls and return flow visually.
Open visualizer →Understand search logic through interactive steps.
Open visualizer →Recognize sorting patterns and algorithm behavior.
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20 lessons shown
Beginner-friendly programming foundation and first DSA steps.
Start Python programming before moving into DSA.
Core logic building for DSA practice.
Start sorting algorithm practice in Python.
Learn comparisons, swaps and repeated passes.
Find minimum and build a sorted section.
Insert each element into the correct place.
Divide, sort and merge using recursion.
Understand pivot, partition and recursive sorting.
Arithmetic operators and Math class basics.
Build decision-making logic in Java.
Practice loops for patterns and DSA problems.
Read user input and solve interactive problems.
Understand classes, objects and structure.
Practice array thinking and data handling.
See function calls and returns clearly.
Understand searching through visual steps.
Explore graph path concepts visually.
Understand graph connections and spanning trees.
Learn real-time programming with a chat project.
Yes. Start with Python basics, loops, lists and simple tracing before arrays, recursion and sorting.
Python DSA Beginner is the easiest path because the syntax is simple and the focus stays on logic.
Choose Java DSA if your school, college or exam uses Java, or if you want stronger OOP practice.
Sorting teaches comparison, swapping, loops, tracing, recursion and algorithm analysis in a practical way.
Practice patterns daily, explain your solution, write clean code, and keep a GitHub record of solved problems.
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