Data Structures & Algo: Python
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Learn Data Structures & Algorithms in Python, with clear lessons and runnable code for every concept.
Each topic pairs theory with practice problems so you can apply what you learn straight away — built for computer science students and software professionals preparing for coding interviews.
📚 What you will master
Arrays, strings, hashing, two-pointer and sliding-window patterns
Linked lists, stacks and queues
Trees, binary search trees, tree traversals, heaps and tries
Graphs with BFS, DFS and shortest paths
Recursion, backtracking and divide and conquer
Sorting, searching, greedy and dynamic programming (knapsack, longest common subsequence, matrix DP)
Big-O time and space complexity for every approach
💻 Learn by doing
Each subtopic gives you clear theory, guided practice and a quick summary, with syntax-highlighted Python you can run on the spot. Browse a clean Subject to Topic to Subtopic map, search fast and bookmark anything.
⚙️ Built-in Python runner
Write and execute code in the integrated editor and mobile compiler, tackle FAANG-style interview coding problems with hidden test cases and optimized reference solutions, and let the AI verify your output. The runner also supports Java, C++, C, Go, JavaScript, Rust, Kotlin, Dart and Swift.
🧠 Quizzes and mock tests
Sharpen recall with topic-wise multiple-choice quizzes that climb from Easy to Medium to Hard, each with a clear explanation. Take timed mock tests blending theory, MCQs and coding, then read result analytics with improvement tips that highlight your low-accuracy areas.
🤖 Your AI tutor
Smart Mentor answers questions, explains lessons in plain English, gives lesson-aware hints when you are stuck on a tricky binary tree traversal or graph problem, runs a mock-interview mode and even reads a photo of your code or a diagram. Get an AI-built 7-day study plan plus a daily revision card.
📊 Track your progress
Watch scores over time, study time and topics completed, spot weak areas, hit daily goals and keep your streak alive. Climb global and per-subject leaderboards.
🌐 Built for real life
Works offline, ships light and dark themes, and offers a multi-language interface (English, Hindi, Kannada, Tamil and Telugu) that protects code and technical terms during translation.
📚 DSA SYLLABUS COVERAGE
📝 Data structures: arrays, strings, hashing, linked lists, stacks, queues, binary trees, BSTs, heaps, tries, graphs
🧩 Algorithms & patterns: sorting, searching, recursion, backtracking, two pointers, sliding window, greedy, divide and conquer
🧮 Dynamic programming: knapsack, longest common subsequence, matrix DP and other classic problems
⏱️ Complexity analysis: Big-O notation for time and space on every approach
📌 WHO IS THIS FOR?
Computer science students and software professionals who want to master Data Structures and Algorithms in Python will find a complete path here — from Arrays, Linked Lists, Stacks, Queues and Binary Trees through Graphs, Heaps and Tries, all the way to advanced techniques like Recursion, Backtracking, Two Pointers, Sliding Window, Greedy, and Dynamic Programming. If you are preparing for a Coding Interview at a top company, the built-in Code Runner and Compiler let you practice BFS, DFS, Sorting, Searching and other patterns against real hidden test cases, with Big-O complexity analysis for every approach. Learners who prefer to understand before they memorize will appreciate the lesson-first structure paired with Mock Tests and quizzes that reinforce each topic under timed conditions.
Python and other language names and logos are trademarks of their respective owners. This app is independent and not affiliated with or endorsed by them.
Each topic pairs theory with practice problems so you can apply what you learn straight away — built for computer science students and software professionals preparing for coding interviews.
📚 What you will master
Arrays, strings, hashing, two-pointer and sliding-window patterns
Linked lists, stacks and queues
Trees, binary search trees, tree traversals, heaps and tries
Graphs with BFS, DFS and shortest paths
Recursion, backtracking and divide and conquer
Sorting, searching, greedy and dynamic programming (knapsack, longest common subsequence, matrix DP)
Big-O time and space complexity for every approach
💻 Learn by doing
Each subtopic gives you clear theory, guided practice and a quick summary, with syntax-highlighted Python you can run on the spot. Browse a clean Subject to Topic to Subtopic map, search fast and bookmark anything.
⚙️ Built-in Python runner
Write and execute code in the integrated editor and mobile compiler, tackle FAANG-style interview coding problems with hidden test cases and optimized reference solutions, and let the AI verify your output. The runner also supports Java, C++, C, Go, JavaScript, Rust, Kotlin, Dart and Swift.
🧠 Quizzes and mock tests
Sharpen recall with topic-wise multiple-choice quizzes that climb from Easy to Medium to Hard, each with a clear explanation. Take timed mock tests blending theory, MCQs and coding, then read result analytics with improvement tips that highlight your low-accuracy areas.
🤖 Your AI tutor
Smart Mentor answers questions, explains lessons in plain English, gives lesson-aware hints when you are stuck on a tricky binary tree traversal or graph problem, runs a mock-interview mode and even reads a photo of your code or a diagram. Get an AI-built 7-day study plan plus a daily revision card.
📊 Track your progress
Watch scores over time, study time and topics completed, spot weak areas, hit daily goals and keep your streak alive. Climb global and per-subject leaderboards.
🌐 Built for real life
Works offline, ships light and dark themes, and offers a multi-language interface (English, Hindi, Kannada, Tamil and Telugu) that protects code and technical terms during translation.
📚 DSA SYLLABUS COVERAGE
📝 Data structures: arrays, strings, hashing, linked lists, stacks, queues, binary trees, BSTs, heaps, tries, graphs
🧩 Algorithms & patterns: sorting, searching, recursion, backtracking, two pointers, sliding window, greedy, divide and conquer
🧮 Dynamic programming: knapsack, longest common subsequence, matrix DP and other classic problems
⏱️ Complexity analysis: Big-O notation for time and space on every approach
📌 WHO IS THIS FOR?
Computer science students and software professionals who want to master Data Structures and Algorithms in Python will find a complete path here — from Arrays, Linked Lists, Stacks, Queues and Binary Trees through Graphs, Heaps and Tries, all the way to advanced techniques like Recursion, Backtracking, Two Pointers, Sliding Window, Greedy, and Dynamic Programming. If you are preparing for a Coding Interview at a top company, the built-in Code Runner and Compiler let you practice BFS, DFS, Sorting, Searching and other patterns against real hidden test cases, with Big-O complexity analysis for every approach. Learners who prefer to understand before they memorize will appreciate the lesson-first structure paired with Mock Tests and quizzes that reinforce each topic under timed conditions.
Python and other language names and logos are trademarks of their respective owners. This app is independent and not affiliated with or endorsed by them.
Date de mise à jour
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Nouveautés
⚡ Instant Loading — tutorials, topics and lessons now open instantly and even work offline, using less data.
💼 Crack Interview — rapid-fire interview Q&A now available in Learn Python and Learn Java too.
📰 News & Updates — tech news now one tap away in the Home menu.
🔔 Reliable Notifications — reminders now arrive dependably, even after restarting your phone.
🛠️ Polish — sharper lesson diagrams and small fixes.
💼 Crack Interview — rapid-fire interview Q&A now available in Learn Python and Learn Java too.
📰 News & Updates — tech news now one tap away in the Home menu.
🔔 Reliable Notifications — reminders now arrive dependably, even after restarting your phone.
🛠️ Polish — sharper lesson diagrams and small fixes.
Assistance de l'appli
À propos du développeur
SUMAIYYA B JAHAGIRDAR
learnsimpli19@gmail.com
Ward no : 2
Salpetth, A/P, ILKAL, TQ, HUNGUND, DIST. BAGALKOT
ILKAL, Karnataka 587125
India
