DSA in Python: Interview Prep
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Most coding interviews test a small set of patterns: two pointers, sliding window, recursion, graphs and dynamic programming. Once you can recognise the pattern, the problem gets much smaller. This app teaches DSA in Python around those patterns, so you build the instinct interviewers look for.
Data Structures from the Ground Up
Lessons start with arrays, strings, linked lists and hashing, then move to trees, heaps and graphs. Each one explains time and space complexity. A quick check after every lesson confirms the idea.
Algorithm Patterns That Repeat
Sorting, binary search, recursion, backtracking, greedy and dynamic programming are taught through classic problems such as knapsack and longest common subsequence.
Write and Run Python Code
Use the built-in code runner to write Python solutions and see the output at once.
Algo Lab and Visualizers
Coding problems with solutions are grouped by interview pattern, and animated visualizers show sorting, trees and graph algorithms step by step.
Quizzes, Mock Tests and Review
Topic quizzes explain every answer, mock tests mix theory and code, and wrong answers return later for spaced review.
An AI Tutor and a Study Plan
Ask the AI tutor about a tricky traversal, share a photo of your code, or practise a mock interview. A seven-day study plan balances concepts with practice.
Topics Covered
Arrays, strings, linked lists, stacks and queues.
Trees, heaps, tries, graphs and hashing.
Sorting, searching, recursion and greedy algorithms.
Dynamic programming and advanced graph problems.
Learn DSA in Python one pattern at a time and walk into your next coding interview prepared.
Disclaimer: Independent learning app, not affiliated with the owners of the Python trademark or any company named in interview questions.
For any questions or feedback, write to us at learnsimpli19@gmail.com.
Data Structures from the Ground Up
Lessons start with arrays, strings, linked lists and hashing, then move to trees, heaps and graphs. Each one explains time and space complexity. A quick check after every lesson confirms the idea.
Algorithm Patterns That Repeat
Sorting, binary search, recursion, backtracking, greedy and dynamic programming are taught through classic problems such as knapsack and longest common subsequence.
Write and Run Python Code
Use the built-in code runner to write Python solutions and see the output at once.
Algo Lab and Visualizers
Coding problems with solutions are grouped by interview pattern, and animated visualizers show sorting, trees and graph algorithms step by step.
Quizzes, Mock Tests and Review
Topic quizzes explain every answer, mock tests mix theory and code, and wrong answers return later for spaced review.
An AI Tutor and a Study Plan
Ask the AI tutor about a tricky traversal, share a photo of your code, or practise a mock interview. A seven-day study plan balances concepts with practice.
Topics Covered
Arrays, strings, linked lists, stacks and queues.
Trees, heaps, tries, graphs and hashing.
Sorting, searching, recursion and greedy algorithms.
Dynamic programming and advanced graph problems.
Learn DSA in Python one pattern at a time and walk into your next coding interview prepared.
Disclaimer: Independent learning app, not affiliated with the owners of the Python trademark or any company named in interview questions.
For any questions or feedback, write to us at learnsimpli19@gmail.com.
Data structures and algorithms with quizzes, a code runner and an AI tutor
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🗺️ Your Roadmap: every topic in order, done and up next
🎯 Crack Interview: rapid-fire interview Q&A
📖 Key terms in lessons, with definitions
🏅 Course certificates in Profile (Pro)
📝 Shareable cheat sheets and 📊 study heatmap (Pro)
🎬 Algorithm visualizers
🧪 Algo-Lab: interview patterns and Mark as solved
📈 Daily goal line on your progress chart
🎯 Crack Interview: rapid-fire interview Q&A
📖 Key terms in lessons, with definitions
🏅 Course certificates in Profile (Pro)
📝 Shareable cheat sheets and 📊 study heatmap (Pro)
🎬 Algorithm visualizers
🧪 Algo-Lab: interview patterns and Mark as solved
📈 Daily goal line on your progress chart
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