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Coding Interview Class
Introduction
Course Introduction (3:23)
The Goal of The Course (2:45)
How To Get The Most From This Course (3:26)
Helpful Supplementary Material (3:29)
Should You Time Yourself? (2:51)
Closing Thoughts (4:44)
The Application To The Offer
Getting Referrals (6:08)
Effective Recruiter Communication (5:52)
Time & Space Complexities
Introducing Asymptotic Measures (5:16)
Asymptotic Bounding 101
O(1) Time (“Constant Time”) (4:55)
O(log(n)) (“Logarithmic Time”) (16:04)
O(n) (“Linear Time”) (13:54)
O(n * log(n)) (15:19)
O(n!) ("Factorial Time") (11:06)
O(|V| + |E|) (21:21)
Approximating Time Complexities of Recursive Functions (25:24)
Useful Recurrence Generalizations (15:15)
The Master Theorem (8:53)
Memoization (9:36)
Primitives
Check If A Number Is A Palindrome (10:30)
Changing Base (13:13)
Arrays
Rotating a 2D Matrix (16:03)
Spiral Traversal of A Matrix (12:18)
The 3-Sum Problem (12:43)
Next Permutation
Strings
Longest Palindrome Construction (12:07)
Pattern Matching (12:24)
Linked Lists
Fundamentals: Linked Lists (16:47)
Design A Linked List (9:05)
Even Odd Partition (11:25)
Swap Linked List Nodes In Pairs (20:03)
Sublist Reversal (12:39)
Testing For Cycles (11:26)
Testing For Overlapping Lists (No Cycles) (6:54)
Remove kth Last Element (9:12)
Right Shift A Singly Linked List (11:58)
Add 2 Integers Represented As Linked Lists (13:38)
Flatten A Multilevel Doubly Linked List (10:13)
Clone A Linked List (With Random Pointers)
Stacks & Queues
The Balanced Parentheses Problem (20:00)
Compute Buildings With A Sunset View (11:46)
Implement A Circular Queue (7:41)
Implement A Queue With A Max API (13:35)
Implement Text Editor Undo/Redo (11:41)
Implement A Queue Using Stacks
Trees
Longest Node To Node Path In A Binary Tree (16:33)
Test If A Binary Tree Is Symmetric (11:51)
Sum Root To Leaf Paths (16:13)
Compute A Node's Inorder Successor (17:39)
Tree Reconstruction (20:22)
Test A Tree For The BST Property (13:54)
Build A Min-Height BST From A Sorted Array (6:54)
Insertion & Deletion In A BST (13:52)
Populating Level Pointers (19:19)
Inorder Traversal Without Recursion (12:38)
Binary Tree Bootcamp
Test If A Binary Tree Is Height Balanced
Serialize & Deserialize A Binary Tree
Special Trees
Implement A Trie (10:57)
Heaps
Fundamentals: Heaps (13:42)
Merge K Sorted Arrays (16:35)
K Largest/Smallest Elements In An Array (8:09)
Compute The Median of Online Data (13:45)
K Largest Elements In An Immutable Max-Heap (8:31)
Implement A Binary Heap
Searching
Intersection of 2 Sorted Arrays (11:34)
Minimum Item In A Rotated Sorted Array (10:26)
Search A 2D Sorted Matrix
Find the k'th Largest or Smallest Element
Hashtables
Fundamentals: Hashtables (14:37)
Implement An LRU Cache (16:43)
Nearest Repeated Entries In An Array (7:55)
Minimum Window Substring
Sorting
Naive Sorting Algorithms & Applications (Bubble, Insertion, Selection) (15:26)
Merge Sort
Heapsort
Quicksort
The Most Visited Pages Problem (20:02)
Sort A K Sorted Array
Recursion
Divide & Conquer Methodology (9:07)
Implement A Sudoku Solver (19:03)
Search A Linked List With Jump References (19:40)
Phone Number Mnemonics (13:11)
IP Address Restoration (13:19)
The N Queens Problem (18:17)
Permutations (7:05)
Generate The Powerset (10:11)
Generate All Subsets of Size K (11:30)
Palindromic Decompositions (7:07)
Generate Unique Binary Search Trees (14:01)
The Backtracking Blueprint
Generate All Strings With n Matched Parentheses
Dynamic Programming
Fundamentals: Dynamic Programming (23:37)
Score Combinations (Total Ways To Make Change) (24:09)
Buy & Sell Stock Once (13:48)
Number of Ways To Traverse A Matrix (10:31)
Minimum Weight Path In A Triangle (6:35)
Decode Ways (16:00)
Levenshtein Distance (15:57)
Longest Non-Decreasing Subsequence (16:31)
The 0/1 Knapsack Problem (20:24)
DNA Sequence Alignment (22:51)
1D Subproblems vs. 2D Subproblems (11:26)
The Change Making Problem
Max Contiguous Subarray Sum
Longest Common Subsequence
Greedy Algorithms
Fundamentals: Greedy Algorithms (5:46)
Minimum Spanning Trees (11:50)
Erase Interval Overlaps (10:40)
Interval Scheduling Maximization
Dijkstra's vs Prim's
Graphs
Fundamentals: Graphs (19:45)
Depth First Search & Breadth First Search (21:26)
Keys & Rooms (14:34)
Search A Maze For An Exit (10:28)
Paint A Matrix (15:59)
Compute Enclosed Regions (13:18)
Detect A Cycle In A Graph (Deadlock Detection) (20:16)
String Transformations (17:28)
Topological Sorting On A Digraph (13:08)
Check If A Graph Is Bipartite (15:27)
Clone A Graph (11:43)
Testing Strong Connectivity (20:37)
All Nodes Distance K In A Binary Tree
Binary Tree Level Order Traversal
Screening Questions
Directory Access (Dropbox) (13:59)
Longest Palindrome Construction
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