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Break Away: Programming And Coding Interviews
Introduction
Coding interviews are tough - but beatable (17:13)
Pointer and Arrays
Introduction to pointers (20:01)
Pointer problems and arrays (13:37)
Pointer arithmetic (11:45)
Practice makes perfect - pointer problems (7:39)
Strings are just pointers at heart
Working with strings (14:09)
Pointer as arguments to functions (9:41)
Practice makes perfect - string problems (19:25)
Linked lists can be fun!
Pointers to pointers - bend your mind (10:30)
Pointers to pointers - reassignment and modification (11:14)
Get started with linked lists (17:18)
Warming up to - they get tricky quickly (16:21)
Cruising along - linked lists are fun aren't they? (19:01)
Autopilot - linked lists are easy after all (16:33)
Do not overlook the doubly linked list (10:03)
Bit Manipulation
Bit Manipulation - I (10:09)
Bit Manipulation - II (8:41)
Useful Bit Manipulation Techniques (13:15)
Get And Set The Nth Bit (13:32)
Print And Count Bits (18:56)
Reverse The Bits In An Integer (10:12)
General programming problems - practice makes perfect
Starting up - palindromes and points within a distance (18:18)
Play the Game Of Life and Break A Document Into Chunks (18:35)
Run Length Encoding And Adding Numbers Digit By Digit (19:48)
Sudoku Board Validation and Incrementing A Number In Another Number System (19:57)
Big-O Notation, Sorting And Searching Algorithms
Performance and Complexity (16:04)
Big O Notation (15:58)
Big O Notation More Examples (19:12)
Sorting Trade-Offs (10:54)
Selection Sort (15:26)
Bubble Sort (14:44)
Insertion Sort (14:34)
Shell Sort (14:26)
Merge Sort (19:25)
Quick Sort (15:30)
Binary Search - search quickly through a sorted list (11:36)
Recursion and the recursive sense
What is recursion - why is it so hard? (17:35)
Binary search - implemented recursively (13:50)
Find all subsets of a set (15:26)
Check whether 2 binary trees are the same (15:35)
Implement paint fill to color a region on screen (11:44)
Build A car Given Tasks And Dependencies (15:09)
Generate Anagrams Of A Word (17:19)
Help A Rat Find It's Way Through a Maze (13:03)
Place 8 Queens On A Board Safely (17:52)
Stacks And Queues
Meet The Stack - Simple But Powerful (15:42)
Building A Stack Using Java (16:55)
Match Parenthesis To Check A Well Formed Expression (11:23)
Find The Minimum Element In A Stack In Constant Time (8:53)
Meet The Queue - A Familiar Sight In Everyday Life (14:13)
The Circular Queue - Tricky But Fast (19:46)
Build A Queue With Two Stacks (17:32)
Binary Trees
Meet The Binary Tree - A Hierarchical Data Structure (13:05)
Breadth First Traversal (18:45)
Depth First - Pre-OrderTraversal (14:37)
Depth First - In-Order and Post-Order Traversal (13:53)
Binary Search Trees
The Binary Search Tree - an introduction (9:51)
Insertion and Lookup in a Binary Search Tree (17:02)
Binary Tree Problems
Minimum Value, Maximum Depth and Mirror (12:14)
Count Trees, Print Range and Is BST (14:41)
Has Path Sum, Print Paths, Least Common Ancestor (14:51)
Heaps
The Heap Is Just The Best Way to Implement a Priority Queue (17:17)
Meet The Binary Heap - It's A Tree At Heart (12:41)
The Binary Heap - Logically A Tree Really An Array (17:16)
The Binary Heap - Making It Real With Code (7:40)
Heapify! (19:35)
Insert And Remove From A Heap (16:36)
Revisiting Sorting - The Heap Sort
Heap Sort Phase I - Heapify (19:33)
Heap Sort Phase II - The Actual Sort (17:44)
Heap Problems
Maximum Element In A Minimum Heap and K Largest Elements In A Stream (15:56)
Merge K Sorted Lists Into One Sorted List Using A Heap (11:42)
Find The Median In A Stream Of Elements (16:06)
Graphs
Introducing The Graph (15:42)
Types Of Graphs (7:23)
The Directed And Undirected Graph (14:31)
Representing A Graph In Code (8:11)
Graph Using An Adjacency Matrix (15:27)
Graph Using An Adjacency List And Adjacency Set (17:55)
Comparison Of Graph Representations (10:11)
Graph Traversal - Depth First And Breadth First (14:58)
Graph Algorithms
Topological Sort In A Graph (17:30)
Implementation Of Topological Sort (6:56)
Design A Course Schedule Considering Pre-reqs For Courses (13:01)
Shortest Path Algorithms
Introduction To Shortest Path In An Unweighted Graph - The Distance Table (12:38)
The Shortest Path Algorithm Visualized (14:15)
Implementation Of The Shortest Path In An Unweighted Graph (6:19)
Introduction To The Weighted Graph (3:29)
Shortest Path In A Weighted Graph - A Greedy Algorithm (18:47)
Dijkstra's Algorithm Visualized (14:14)
Implementation Of Dijkstra's Algorithm (8:15)
Introduction To The Bellman Ford Algorithm (8:40)
The Bellman Ford Algorithm Visualized (11:22)
Dealing With Negative Cycles In The Bellman Ford Algorithm (7:36)
Implementation Of The Bellman Ford Algorithm (6:54)
Spanning Tree Algorithms
Prim's Algorithm For a Minimal Spanning Tree (17:27)
Use Cases And Implementation Of Prim's Algorithm (9:52)
Kruskal's Algorithm For a Minimal Spanning Tree (8:43)
Implementation Of Kruskal's Algorithm (7:33)
Graph Problems
Design A Course Schedule Considering Pre-reqs For Courses (13:01)
Find The Shortest Path In A Weighted Graphs - Fewer Edges Better (14:31)
Starting up - palindromes and points within a distance
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