Data Structures & Algorithms Roadmap - What You NEED To Learn
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Top Comments (10)
- Big-O Notation (Time/Space Complexity) - Data Structures (4 operations: Creating, Deleting, Inserting, Locating) - Arrays (Fixed/Dynamic Size) - Linked List (Single/Double Linked) - Queue and Stack - Simple Trees (Binary Tree and Binary Search Tree) - Heap (Min, Max, Priority Queue) - Graphs ((Un)Directed, (Un)Weighted) - Hash Map - Algorithms - Recursion - Searching (Linear/Binary) - Sorting (Insertion, Selection, Bubble, Merge, Heap, Quick) - Graph (Depth/Breadth First Search, Kruskal, Prims) - Path Finding (Dijstra, A*) - Greedy - Divide and Conquer - Dynamic Programming - Backtracking - Advanced - Trees (Tries, B/AVL/Red-Black/Segment/Fenwick Trees) - Skip Lists - Disjoint Set - Math (Combinatorics, Probabilty, Discrete Math, Discrete Structures)
One request... please prepare a complete, detailed roadmap for machine learning and AI with python, with all resources of books & courses
#### Data Structures 1. [ ] Arrays 2. [ ] Linked Lists 3. [ ] Hashing 4. [ ] Stacks & Queues 5. [ ] Trees 6. [ ] Heaps 7. [ ] Graphs #### Algorithms 1. [ ] Recursion 2. [ ] Searching Algorithms 1. [ ] Linear Search 2. [ ] Binary Search 3. [ ] Sorting Algorithms 1. [ ] Merge Sort 2. [ ] Quick Sort 4. [ ] Graphs Algorithms 5. [ ] Path Finding Algorithms #### Concepts for Problem solving 1. [ ] Greedy Algorithms 2. [ ] Divide & Conquer Algorithms 3. [ ] Dynamic Programming 4. [ ] Backtracking Algorithms #### Advanced 1. [ ] Tries 2. [ ] B Trees 3. [ ] AVL Trees 4. [ ] Red-Black Tress 5. [ ] Skip Lists 6. [ ] Segment Trees 7. [ ] Fenwick Trees 8. [ ] Disjoint set
This is GREAT! Not that many videos from reliable sources on YT giving a good overview of what one needs to learn about data structures and algorithms to become a good programmer.
I found learning and applying evolutionary algorithms to solve computer science problems quite interesting. Such as particle swarm optimization and ant colony optimization.
To learn programming and Python - check out Datacamp! π» Learn Python - https://datacamp.pxf.io/75Rr05 π» Learn Programming - https://datacamp.pxf.io/daN0v2
thanks for sharing this, much appreciated
Love the way you are teaching π
I appreciate this valuable content Tim. It gives me a starting point on how i can start learning DSA. Please can you make a video on DSA based on the topics you have listed?
i really appreciate the way you breakdown the path and Please can you make a video on DSA based on the topics you have listed
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Top Comments (10)
- Big-O Notation (Time/Space Complexity) - Data Structures (4 operations: Creating, Deleting, Inserting, Locating) - Arrays (Fixed/Dynamic Size) - Linked List (Single/Double Linked) - Queue and Stack - Simple Trees (Binary Tree and Binary Search Tree) - Heap (Min, Max, Priority Queue) - Graphs ((Un)Directed, (Un)Weighted) - Hash Map - Algorithms - Recursion - Searching (Linear/Binary) - Sorting (Insertion, Selection, Bubble, Merge, Heap, Quick) - Graph (Depth/Breadth First Search, Kruskal, Prims) - Path Finding (Dijstra, A*) - Greedy - Divide and Conquer - Dynamic Programming - Backtracking - Advanced - Trees (Tries, B/AVL/Red-Black/Segment/Fenwick Trees) - Skip Lists - Disjoint Set - Math (Combinatorics, Probabilty, Discrete Math, Discrete Structures)
One request... please prepare a complete, detailed roadmap for machine learning and AI with python, with all resources of books & courses
#### Data Structures 1. [ ] Arrays 2. [ ] Linked Lists 3. [ ] Hashing 4. [ ] Stacks & Queues 5. [ ] Trees 6. [ ] Heaps 7. [ ] Graphs #### Algorithms 1. [ ] Recursion 2. [ ] Searching Algorithms 1. [ ] Linear Search 2. [ ] Binary Search 3. [ ] Sorting Algorithms 1. [ ] Merge Sort 2. [ ] Quick Sort 4. [ ] Graphs Algorithms 5. [ ] Path Finding Algorithms #### Concepts for Problem solving 1. [ ] Greedy Algorithms 2. [ ] Divide & Conquer Algorithms 3. [ ] Dynamic Programming 4. [ ] Backtracking Algorithms #### Advanced 1. [ ] Tries 2. [ ] B Trees 3. [ ] AVL Trees 4. [ ] Red-Black Tress 5. [ ] Skip Lists 6. [ ] Segment Trees 7. [ ] Fenwick Trees 8. [ ] Disjoint set
This is GREAT! Not that many videos from reliable sources on YT giving a good overview of what one needs to learn about data structures and algorithms to become a good programmer.
I found learning and applying evolutionary algorithms to solve computer science problems quite interesting. Such as particle swarm optimization and ant colony optimization.
To learn programming and Python - check out Datacamp! π» Learn Python - https://datacamp.pxf.io/75Rr05 π» Learn Programming - https://datacamp.pxf.io/daN0v2
thanks for sharing this, much appreciated
Love the way you are teaching π
I appreciate this valuable content Tim. It gives me a starting point on how i can start learning DSA. Please can you make a video on DSA based on the topics you have listed?
i really appreciate the way you breakdown the path and Please can you make a video on DSA based on the topics you have listed