Data Structure with Advanced Python
What You’ll Learn
Cracking FAANG-level interviews requires both DSA and Advanced Python. This course covers every data structure from Arrays to Graphs, and advanced Python patterns from Generators to AsyncIO — all with Time & Space Complexity analysis. Mock interviews and practice problems are included.
Benefits
- All Major Data Structures with implementations
- Sorting & Searching Algorithms
- Dynamic Programming (Memoization + Tabulation)
- Graph Algorithms — BFS, DFS, Dijkstra
- Big-O Analysis for every topic
- Advanced Python — AsyncIO, Threading, Design Patterns
- 200+ Curated Practice Problems
- Mock Interview Preparation
Curriculum
🏗️ Module 1 — Linear Data Structures
- Arrays & Strings: Two Pointers, Sliding Window, Prefix Sum patterns
- 2D Arrays: Matrix Rotation, Spiral Order, Diagonal Traversal
- Linked Lists: Singly, Doubly, Circular — all operations + LeetCode top problems
- Stack: Implementation, Applications (Balanced Brackets, Next Greater Element, Stock Span)
- Queue & Deque: BFS, Sliding Window Maximum, Implementation using Stack
- Hashing: HashMap, HashSet — Frequency Count, Anagram, Subarray Sum problems
🌳 Module 2 — Trees & Heaps
- Binary Tree: Traversals (Inorder, Preorder, Postorder, Level Order)
- BST: Insert, Delete, Search, Validate BST, LCA
- Tree Problems: Height, Diameter, Path Sum, Zigzag Traversal, Mirror
- AVL Trees & Rotations (concept), Red-Black Tree (concept)
- Heaps: Min-Heap, Max-Heap, heapq in Python, Heap Sort
- Priority Queue Applications: K Largest Elements, Median in Stream, Merge K Lists
- Tries: Insert, Search, StartsWith — Autocomplete, Word Search
🕸️ Module 3 — Graphs & Dynamic Programming
- Graph Representation: Adjacency Matrix & List
- BFS: Shortest Path (unweighted), Level-wise traversal
- DFS: Cycle Detection, Topological Sort, Islands problem
- Shortest Path: Dijkstra, Bellman-Ford, Floyd-Warshall
- Minimum Spanning Tree: Kruskal’s, Prim’s Algorithm
- Union-Find / Disjoint Set Union (DSU)
- Dynamic Programming: Memoization vs Tabulation
- DP Patterns: 0/1 Knapsack, LCS, LIS, Coin Change, Matrix Chain Multiplication
- DP on Trees, DP on Graphs, Bitmask DP
🐍 Module 4 — Advanced Python
- Generators & Iterators: yield, send, throw, Generator expressions
- Decorators: Function decorators, Class decorators, functools.wraps, @cache
- Context Managers: with statement, __enter__/__exit__, contextlib
- Concurrency: Threading, Multiprocessing, GIL understanding
- AsyncIO: async/await, Event Loop, Coroutines, Tasks, aiohttp
- Design Patterns: Singleton, Factory, Observer, Strategy, Builder
- Python internals: Memory Management, Garbage Collection, CPython basics
- Performance: Profiling (cProfile, line_profiler), Optimization techniques
