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[FreeCourseSite.com] Udemy - Master the Coding Interview Big Tech (FAANG) Interviews

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种子名称: [FreeCourseSite.com] Udemy - Master the Coding Interview Big Tech (FAANG) Interviews
文件类型: 视频
文件数目: 269个文件
文件大小: 6.32 GB
收录时间: 2023-1-3 17:27
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最近下载: 2024-5-26 16:29

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[FreeCourseSite.com] Udemy - Master the Coding Interview Big Tech (FAANG) Interviews.torrent
  • 01 - Introduction/001 Course Breakdown.mp4151.37MB
  • 01 - Introduction/002 Join Our Online Classroom!.mp477.71MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/001 Interview Question #1 Two Sum.mp422.74MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/002 How To Approach Our Problem.mp417.19MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/003 Writing Our Brute Force Solution.mp412.99MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/004 Testing Our Brute Force Solution With Our Test Cases.mp415.06MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/005 Submitting To Leetcode.mp45.72MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/006 Analyzing Space and Time Complexity.mp434.04MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/007 Optimizing Our Solution.mp414.02MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/008 Coding Our Optimal Solution.mp48.3MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/009 Testing Our Optimal Solution With Our Test Cases & Space and Time Complexity.mp414.2MB
  • 02 - Arrays - Question #1 Google Interview Question Two Sum (Easy)/010 Checking Performance on Leetcode.mp413.61MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/001 Interview Question #2 - Container With Most Water.mp471.9MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/002 Coming Up With Test Cases.mp420.29MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/003 Thinking Through A Logical Brute Force Solution.mp437.33MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/004 Coding Out Our Brute Force Solution.mp416.97MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/005 Stepping Through Our Code.mp424.48MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/006 Thinking About Our Optimal Solution.mp464.66MB
  • 03 - Arrays - Questions #2 - Container With Most Water (Medium)/007 Coding Our Optimal Solution And Testing On LeetCode.mp477.26MB
  • 04 - Arrays - Questions #3 - Trapping Rainwater (Hard)/001 Interview Question #3 - Trapping Rainwater.mp486.99MB
  • 04 - Arrays - Questions #3 - Trapping Rainwater (Hard)/002 Thinking About A Logical Solution.mp421.46MB
  • 04 - Arrays - Questions #3 - Trapping Rainwater (Hard)/003 Coding Our Brute Force.mp422.08MB
  • 04 - Arrays - Questions #3 - Trapping Rainwater (Hard)/004 Figuring Out Our Optimization Strategy.mp496.76MB
  • 04 - Arrays - Questions #3 - Trapping Rainwater (Hard)/005 Coding Our Optimal Solution.mp451.72MB
  • 04 - Arrays - Questions #3 - Trapping Rainwater (Hard)/006 Optimal Code And LeetCode.mp416.93MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/001 Interview Question #4 -Typed Out Strings.mp4110.39MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/002 Logic Of Our Brute Force.mp412.32MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/003 Coding Our Brute Force.mp413.78MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/004 Space And Time Complexity.mp428.75MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/005 Coming Up With Optimal Solution.mp417.42MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/006 Coding Our Optimal Solution.mp417.87MB
  • 05 - Strings - Question #4 - Typed Out Strings (Easy)/007 Submitting To LeetCode.mp436.77MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/001 Interview Question #5 - Longest Substring Without Repeating Characters.mp473.82MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/002 Coming Up With A Brute Force Approach.mp46.96MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/003 Coding Our Brute Force.mp415.83MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/004 Space And Time Complexity.mp422.22MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/005 Sliding Window Technique.mp416.81MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/006 Hints For Optimizing Our Solution.mp46.9MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/007 Thinking About Optimal Solution.mp49.57MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/008 Coding Our Optimal Solution.mp414.25MB
  • 06 - Strings - Question #5 - Longest Substring Without Repeating Characters (Medium)/010 Optimal Code And LeetCode.mp49.8MB
  • 07 - Strings - Question #6 - Valid Palindrome & Almost Palindrome/001 Intro To Palindromes.mp442.81MB
  • 07 - Strings - Question #6 - Valid Palindrome & Almost Palindrome/002 Interview Question #6 - Valid Palindrome.mp413.62MB
  • 07 - Strings - Question #6 - Valid Palindrome & Almost Palindrome/003 Almost A Palindrome.mp440.85MB
  • 07 - Strings - Question #6 - Valid Palindrome & Almost Palindrome/004 Figuring Out Our Solution.mp47.2MB
  • 07 - Strings - Question #6 - Valid Palindrome & Almost Palindrome/005 Coding Our Solution.mp419.08MB
  • 08 - Introducing Linked Lists - Basics and Reverse A Linked List/001 Linked List Introduction.mp412.49MB
  • 08 - Introducing Linked Lists - Basics and Reverse A Linked List/002 Basic Algorithm Reverse a Linked List.mp415.27MB
  • 08 - Introducing Linked Lists - Basics and Reverse A Linked List/003 Thinking About Our Solution.mp418.84MB
  • 08 - Introducing Linked Lists - Basics and Reverse A Linked List/004 Coding Reverse A Linked List Solution.mp411.08MB
  • 09 - Linked List - Question #7 - M, N Reversals (Medium)/001 Interview Question #7 - M, N Reversals.mp415.84MB
  • 09 - Linked List - Question #7 - M, N Reversals (Medium)/002 Coming Up With A Logical Solution.mp433.77MB
  • 09 - Linked List - Question #7 - M, N Reversals (Medium)/003 Coding Our Solution.mp431.34MB
  • 10 - Linked List - Question #8 - Merge Multi-Level Doubly Linked List (Medium)/001 Interview Question #8 - Merge Multi-Level Doubly Linked List.mp427.78MB
  • 10 - Linked List - Question #8 - Merge Multi-Level Doubly Linked List (Medium)/002 Figuring Out Our Test Cases.mp412.14MB
  • 10 - Linked List - Question #8 - Merge Multi-Level Doubly Linked List (Medium)/004 Thinking About Our Approach.mp431.11MB
  • 10 - Linked List - Question #8 - Merge Multi-Level Doubly Linked List (Medium)/005 Coding Out Our Solution.mp454.28MB
  • 11 - Linked List - Question #9 - Cycle Detection (Medium)/001 Interview Question #9 - Cycle Detection.mp421.58MB
  • 11 - Linked List - Question #9 - Cycle Detection (Medium)/002 What Is Floyd's Tortoise And Hare Algorithm.mp49.55MB
  • 11 - Linked List - Question #9 - Cycle Detection (Medium)/003 Coding Floyd's Algorithm.mp413.14MB
  • 11 - Linked List - Question #9 - Cycle Detection (Medium)/004 Optional Proof Of How And Why Floyd's Algorithm Works.mp442.6MB
  • 12 - Stacks - Question #10 - Valid Parentheses (Easy)/001 Intro to Stacks and Queues.mp410.19MB
  • 12 - Stacks - Question #10 - Valid Parentheses (Easy)/002 Interview Question #10 - Valid Parentheses.mp422.49MB
  • 12 - Stacks - Question #10 - Valid Parentheses (Easy)/003 Walking Through Our Problem - Identifying The Need For A Stack.mp48.99MB
  • 12 - Stacks - Question #10 - Valid Parentheses (Easy)/004 Coding Our Solution With A Stack.mp414.83MB
  • 13 - Stacks - Question #11 - Minimum Brackets To Remove (Medium)/001 Interview Question #11 - Minimum Brackets To Remove.mp426.79MB
  • 13 - Stacks - Question #11 - Minimum Brackets To Remove (Medium)/002 Thinking About Our Solution.mp414.36MB
  • 13 - Stacks - Question #11 - Minimum Brackets To Remove (Medium)/003 Coding Our Solution.mp418.11MB
  • 14 - Queues - Question #12 - Implement Queue With Stacks (Easy)/001 Question #12 - Implement Queue With Stacks.mp413.1MB
  • 14 - Queues - Question #12 - Implement Queue With Stacks (Easy)/002 Figuring Out Our Solution.mp412.98MB
  • 14 - Queues - Question #12 - Implement Queue With Stacks (Easy)/003 Coding Our Solution.mp411.71MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/001 Introducing Recursion.mp49.73MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/002 Optional Tail Recursion.mp461.77MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/003 Sorting.mp47.48MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/004 Interview Question #13 - Kth Largest Element.mp416.61MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/005 Insights From Quick Sort.mp415.9MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/006 Understanding Divide And Conquer.mp426.09MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/007 Coding Quicksort Into Our Solution.mp441.57MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/008 What Is Hoare's Quickselect Algorithm.mp410.45MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/009 Coding Our Solution With Quickselect.mp447.76MB
  • 15 - Recursion (Sorting and Hoare's QuickSelect) - Question #13 - Kth Largest Element/011 Exercise Imposter Syndrome.mp426.51MB
  • 16 - Recursion (Binary Search) - Question #14 - Start And End Of Target (Medium)/001 Understanding Binary Search.mp430.18MB
  • 16 - Recursion (Binary Search) - Question #14 - Start And End Of Target (Medium)/002 How To Code Binary Search.mp49.78MB
  • 16 - Recursion (Binary Search) - Question #14 - Start And End Of Target (Medium)/003 Question #14 - Start And End Of Target In A Sorted Array.mp421.5MB
  • 16 - Recursion (Binary Search) - Question #14 - Start And End Of Target (Medium)/004 Walking Through Our Solution.mp414.55MB
  • 16 - Recursion (Binary Search) - Question #14 - Start And End Of Target (Medium)/005 Coding Our Solution.mp448.68MB
  • 17 - Binary Trees - Question #15 - Maximum Depth Of Binary Tree (Easy)/001 Intro to Binary Trees.mp45.89MB
  • 17 - Binary Trees - Question #15 - Maximum Depth Of Binary Tree (Easy)/002 Question #15 - Maximum Depth of Binary Tree.mp416.05MB
  • 17 - Binary Trees - Question #15 - Maximum Depth Of Binary Tree (Easy)/003 Learning The Process For Solving Binary Tree Problems.mp432.58MB
  • 17 - Binary Trees - Question #15 - Maximum Depth Of Binary Tree (Easy)/004 Coding Our Solution.mp413.45MB
  • 18 - Binary Trees - Question #16 - Level Order Of Binary Tree (Medium)/001 Question #16 - Level Order Of Binary Tree.mp412.18MB
  • 18 - Binary Trees - Question #16 - Level Order Of Binary Tree (Medium)/002 Walking Through Our Solution.mp432MB
  • 18 - Binary Trees - Question #16 - Level Order Of Binary Tree (Medium)/003 Coding Out Level Order Traversal.mp425.09MB
  • 19 - Binary Trees - Question #17 - Right Side View of Tree (Medium)/001 Question #17 - Right Side View of Tree.mp413.64MB
  • 19 - Binary Trees - Question #17 - Right Side View of Tree (Medium)/002 Understanding The Breadth First Search Approach.mp412.56MB
  • 19 - Binary Trees - Question #17 - Right Side View of Tree (Medium)/003 Understanding The Depth First Search Approach.mp414.08MB
  • 19 - Binary Trees - Question #17 - Right Side View of Tree (Medium)/004 Thinking About Pre-Order, In-Order, and Post-Order Traversals For Our Solution.mp421.81MB
  • 19 - Binary Trees - Question #17 - Right Side View of Tree (Medium)/005 Completing Our DFS Solution.mp414.45MB
  • 19 - Binary Trees - Question #17 - Right Side View of Tree (Medium)/006 Coding Our Final DFS Solution.mp424.88MB
  • 20 - Full & Complete Binary Trees - Question #18 - Number Of Nodes In Complete Tree/001 Question #18 - Number Of Nodes In Complete Tree.mp418.52MB
  • 20 - Full & Complete Binary Trees - Question #18 - Number Of Nodes In Complete Tree/002 Thinking Deeply About A Full Binary Tree.mp418.13MB
  • 20 - Full & Complete Binary Trees - Question #18 - Number Of Nodes In Complete Tree/003 Figuring Out Number Of Nodes At Last Level.mp428.62MB
  • 20 - Full & Complete Binary Trees - Question #18 - Number Of Nodes In Complete Tree/004 Coding Out Our Full Solution.mp452.05MB
  • 21 - Binary Search Tree - Question #19 - Validate Binary Search Tree (Medium)/001 Question #19 - Validate Binary Search Tree.mp421.48MB
  • 21 - Binary Search Tree - Question #19 - Validate Binary Search Tree (Medium)/002 Thinking About Our Logical Solution.mp422.03MB
  • 21 - Binary Search Tree - Question #19 - Validate Binary Search Tree (Medium)/003 Figuring Out Our Boundaries.mp412.63MB
  • 21 - Binary Search Tree - Question #19 - Validate Binary Search Tree (Medium)/004 Coding Our Our Full Solution.mp423.11MB
  • 22 - Heaps & Priority Queues/001 Introducing Heaps.mp419.28MB
  • 22 - Heaps & Priority Queues/002 Insertion In Heaps - Understanding Sift Up.mp412.42MB
  • 22 - Heaps & Priority Queues/003 Deletion In Heaps - Understanding Sift Down.mp417.03MB
  • 22 - Heaps & Priority Queues/004 Starting To Code Our Priority Queue Class.mp412.47MB
  • 22 - Heaps & Priority Queues/005 Coding Our Insertion And Sift Up Methods.mp49.92MB
  • 22 - Heaps & Priority Queues/006 Coding Our Deletion And Sift Down Methods.mp421.1MB
  • 23 - Intro To 2D-Arrays - Basics & Traversal Algorithms/001 Introducing 2D Arrays - What Are They.mp423.3MB
  • 23 - Intro To 2D-Arrays - Basics & Traversal Algorithms/002 Depth First Search In 2D-Arrays.mp423.36MB
  • 23 - Intro To 2D-Arrays - Basics & Traversal Algorithms/003 Coding DFS - Setting Up For DFS.mp415.54MB
  • 23 - Intro To 2D-Arrays - Basics & Traversal Algorithms/004 Coding DFS - Implementing Recursive DFS.mp431.66MB
  • 23 - Intro To 2D-Arrays - Basics & Traversal Algorithms/005 Breadth First Search In 2D-Arrays.mp424.44MB
  • 23 - Intro To 2D-Arrays - Basics & Traversal Algorithms/006 Coding BFS.mp423.97MB
  • 24 - 2D-Arrays - Question #20 Number Of Islands (Medium)/001 A General Approach To Thinking About Most Graph Questions.mp428.81MB
  • 24 - 2D-Arrays - Question #20 Number Of Islands (Medium)/002 Question #20 Number Of Islands.mp417.47MB
  • 24 - 2D-Arrays - Question #20 Number Of Islands (Medium)/003 Approaching Our Problem - Thinking Deeply About The Values.mp428.01MB
  • 24 - 2D-Arrays - Question #20 Number Of Islands (Medium)/004 Approaching Our Problem - Thinking About Traversals.mp416.25MB
  • 24 - 2D-Arrays - Question #20 Number Of Islands (Medium)/005 Coding Our Solution.mp460.51MB
  • 24 - 2D-Arrays - Question #20 Number Of Islands (Medium)/006 Thinking About Space And Time Complexity.mp430.59MB
  • 25 - 2D-Arrays - Question #21 Rotting Oranges (Medium)/001 Question #21 Rotting Oranges.mp480.43MB
  • 25 - 2D-Arrays - Question #21 Rotting Oranges (Medium)/002 Figuring Out Our Initial Logic.mp416.24MB
  • 25 - 2D-Arrays - Question #21 Rotting Oranges (Medium)/003 Figuring Out The Rest Of Our Solution.mp424.2MB
  • 25 - 2D-Arrays - Question #21 Rotting Oranges (Medium)/004 Coding Out Our Solution.mp428.26MB
  • 26 - 2D-Arrays - Question #22 - Walls And Gates (Medium)/001 Question #22 - Walls And Gates.mp421.39MB
  • 26 - 2D-Arrays - Question #22 - Walls And Gates (Medium)/002 Figuring Out Our Logical Solution.mp417.71MB
  • 26 - 2D-Arrays - Question #22 - Walls And Gates (Medium)/003 Coding Out Our Solution.mp425.39MB
  • 27 - Intro to Graphs - Representation & Traversal Algorithms/001 Introduction To The Types Of Graphs.mp434.87MB
  • 27 - Intro to Graphs - Representation & Traversal Algorithms/002 Representing Our Graphs - Adjacency List & Adjacency Matrix.mp422.84MB
  • 27 - Intro to Graphs - Representation & Traversal Algorithms/003 Breadth First Search In Graphs.mp414.78MB
  • 27 - Intro to Graphs - Representation & Traversal Algorithms/004 Coding BFS.mp415.06MB
  • 27 - Intro to Graphs - Representation & Traversal Algorithms/005 Depth First Search In Graphs.mp49.66MB
  • 27 - Intro to Graphs - Representation & Traversal Algorithms/006 Coding DFS.mp413.64MB
  • 28 - Graphs - Question #23 - Time Needed to Inform All Employees (Medium)/001 Question #23 - Time Needed to Inform All Employees.mp457.19MB
  • 28 - Graphs - Question #23 - Time Needed to Inform All Employees (Medium)/002 Verifying Our Constraints And Thinking About Test Cases.mp418.24MB
  • 28 - Graphs - Question #23 - Time Needed to Inform All Employees (Medium)/003 How To Represent Our Graph As An Adjacency List.mp413.96MB
  • 28 - Graphs - Question #23 - Time Needed to Inform All Employees (Medium)/004 Solving Our Problem Logically Using DFS Traversal.mp412.09MB
  • 28 - Graphs - Question #23 - Time Needed to Inform All Employees (Medium)/005 Coding Our DFS Solution.mp419.82MB
  • 29 - Graphs - Question #24 - Course Scheduler (Medium)/001 Question #24 - Course Scheduler.mp426.81MB
  • 29 - Graphs - Question #24 - Course Scheduler (Medium)/002 Thinking About Our Initial Solution - BFS.mp410.2MB
  • 29 - Graphs - Question #24 - Course Scheduler (Medium)/003 Coding Out Our Initial BFS Solution.mp428.71MB
  • 29 - Graphs - Question #24 - Course Scheduler (Medium)/004 What is Topological Sort.mp424.8MB
  • 29 - Graphs - Question #24 - Course Scheduler (Medium)/005 Thinking About A Solution With Topological Sort.mp415.52MB
  • 29 - Graphs - Question #24 - Course Scheduler (Medium)/006 Coding Our Final Solution.mp434.62MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/001 Question #25 - Network Time Delay.mp439.6MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/002 Thinking About How To Approach The Problem.mp413.6MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/003 Greedy Method & What Is Dijkstra's Algorithm.mp448.41MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/004 Thinking About A Solution With Dijkstra's Algorithm.mp428.1MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/005 Coding Our Solution With Dijkstra.mp4108.29MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/006 Time And Space Complexity Of Our Solution.mp432.92MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/007 Thinking About Negative Weights.mp434.62MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/008 What is The Bellman-Ford Algorithm - Conceptualizing Dynamic Programming.mp429.58MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/009 What is The Bellman-Ford Algorithm - The Algorithm Itself.mp423.33MB
  • 30 - Graphs - Question #25 - Network Time Delay (Medium)/010 Coding Our Solution With Bellman-Ford.mp420.53MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/001 Question #26 - Minimum Cost Of Climbing Stairs & How To Approach DP.mp430.13MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/002 Understanding & Identifying Recurrence Relation.mp436.43MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/003 First Step - Recursive Solution From Recurrence Relation.mp411.33MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/005 Second Step - Memoizing Our Redundant Recursive Calls.mp423.12MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/006 Coding Our Memoization Optimization.mp419.88MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/007 Understanding The Bottom Up Approach (Tabulation).mp49.23MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/008 Third Step - Bottom Up Tabulation.mp418.21MB
  • 31 - Dynamic Programming - Question #26 - Minimum Cost Of Climbing Stairs (Easy)/009 Fourth Step - Bottom Up Optimization.mp422.06MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/001 Question #27 - Knight Probability In Chessboard.mp458.42MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/002 Thinking About Test Cases To Help Us.mp43.95MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/003 Identifying The Recurrence Relation.mp420.56MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/004 First Step - Recursive Solution From Recurrence Relation.mp47.4MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/005 Second Step - Memoizing Our Redundant Recursive Calls.mp446.39MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/006 Figuring Out The Logic For Our Bottom Up Solution.mp450.68MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/007 Third Step - Bottom Up Tabulation.mp428.04MB
  • 32 - Dynamic Programming - Question #27 - Knight Probability In Chessboard (Medium)/008 Fourth Step - Bottom Up Optimization.mp428.38MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/001 Understanding The Basics Of Backtracking.mp422.28MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/002 Question #28 - Sudoku Solver.mp418.86MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/003 Learning The Backtracking Template.mp416.54MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/004 Applying Our Backtracking Template To Sudoku Solver Logic.mp410.14MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/005 Coding How To Get Box ID.mp414.24MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/006 Setting Up Our Solution Code.mp415.72MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/007 Coding The Recursive Backtracking Portion Of Our Solution.mp445.08MB
  • 33 - Backtracking - Question #28 - Sudoku Solver (Hard)/008 Thinking About The Space And Time Complexity.mp445.19MB
  • 34 - Interface Design - Question #29 - Monarchy/001 Understanding Interface Design & Question #29 - Monarchy.mp433.8MB
  • 34 - Interface Design - Question #29 - Monarchy/002 Figuring Out Our Test Cases.mp414.2MB
  • 34 - Interface Design - Question #29 - Monarchy/003 Thinking About The Logical Of The Monarchy.mp423.62MB
  • 34 - Interface Design - Question #29 - Monarchy/004 Coding Our Monarchy Solution.mp419.55MB
  • 35 - Tries - Question #30 - Implement Prefix Trie (Medium)/001 Introducing Tries.mp43.49MB
  • 35 - Tries - Question #30 - Implement Prefix Trie (Medium)/002 Question #30 - Implement Prefix Trie.mp429.31MB
  • 35 - Tries - Question #30 - Implement Prefix Trie (Medium)/003 Understanding The Logic For Our Methods.mp47.45MB
  • 35 - Tries - Question #30 - Implement Prefix Trie (Medium)/004 Implementing Our Prefix Trie Data Structure Solution.mp423.92MB
  • 36 - Where To Go From Here/001 Thank You!.mp44.08MB
  • 37 - Appendix Big O/001 Section Overview.mp47.58MB
  • 37 - Appendix Big O/002 What Is Good Code.mp427.56MB
  • 37 - Appendix Big O/003 Big O and Scalability.mp447.91MB
  • 37 - Appendix Big O/004 O(n).mp444.77MB
  • 37 - Appendix Big O/005 O(1).mp425.34MB
  • 37 - Appendix Big O/007 Solution Big O Calculation.mp411.62MB
  • 37 - Appendix Big O/009 Solution Big O Calculation 2.mp45.97MB
  • 37 - Appendix Big O/010 Simplifying Big O.mp44.79MB
  • 37 - Appendix Big O/011 Big O Rule 1.mp411.95MB
  • 37 - Appendix Big O/012 Big O Rule 2.mp417.07MB
  • 37 - Appendix Big O/013 Big O Rule 3.mp46.81MB
  • 37 - Appendix Big O/014 O(n^2).mp423.85MB
  • 37 - Appendix Big O/015 Big O Rule 4.mp422.17MB
  • 37 - Appendix Big O/016 Big O Cheat Sheet.mp48.93MB
  • 37 - Appendix Big O/017 What Does This All Mean.mp446.69MB
  • 37 - Appendix Big O/018 O(n!).mp43.84MB
  • 37 - Appendix Big O/019 3 Pillars Of Programming.mp410.98MB
  • 37 - Appendix Big O/020 Space Complexity.mp46.89MB
  • 37 - Appendix Big O/021 Exercise Space Complexity.mp415.17MB
  • 37 - Appendix Big O/022 Exercise Twitter.mp425.81MB
  • 37 - Appendix Big O/023 Section Summary.mp414.64MB
  • 38 - Appendix Arrays/001 Arrays Introduction.mp429.73MB
  • 38 - Appendix Arrays/002 Static vs Dynamic Arrays.mp415.76MB
  • 38 - Appendix Arrays/003 Optional Implementing An Array.mp454.88MB
  • 39 - Appendix Hash Tables/001 Hash Tables Introduction.mp413.04MB
  • 39 - Appendix Hash Tables/002 Hash Function.mp426.76MB
  • 39 - Appendix Hash Tables/003 Hash Collisions.mp461.46MB
  • 39 - Appendix Hash Tables/004 Hash Tables VS Arrays.mp46.1MB
  • 40 - Appendix Linked Lists/001 Linked Lists Introduction.mp47.74MB
  • 40 - Appendix Linked Lists/002 What Is A Linked List.mp411.17MB
  • 40 - Appendix Linked Lists/003 Exercise Why Linked Lists.mp42.95MB
  • 40 - Appendix Linked Lists/004 Solution Why Linked Lists.mp417.5MB
  • 40 - Appendix Linked Lists/005 What Is A Pointer.mp412.31MB
  • 40 - Appendix Linked Lists/006 Doubly Linked Lists.mp410.48MB
  • 40 - Appendix Linked Lists/007 Singly VS Doubly Linked Lists.mp48.54MB
  • 40 - Appendix Linked Lists/008 Linked Lists Review.mp420.85MB
  • 41 - Appendix Stacks + Queues/001 Stacks + Queues Introduction.mp49.23MB
  • 41 - Appendix Stacks + Queues/002 Stacks.mp410.9MB
  • 41 - Appendix Stacks + Queues/003 Queues.mp411.05MB
  • 41 - Appendix Stacks + Queues/004 Exercise Stacks VS Queues.mp44.99MB
  • 41 - Appendix Stacks + Queues/005 Solution Stacks VS Queues.mp46.38MB
  • 41 - Appendix Stacks + Queues/006 Stacks + Queues Review.mp49.72MB
  • 42 - Appendix Trees/001 Trees Introduction.mp454.8MB
  • 42 - Appendix Trees/002 Binary Trees.mp422.66MB
  • 42 - Appendix Trees/003 O(log n).mp420.15MB
  • 42 - Appendix Trees/004 Binary Search Trees.mp416.75MB
  • 42 - Appendix Trees/005 Balanced VS Unbalanced BST.mp423.5MB
  • 42 - Appendix Trees/006 BST Pros and Cons.mp47.6MB
  • 42 - Appendix Trees/007 Tries.mp410.14MB
  • 43 - Appendix Searching + BFS + DFS/001 Graph + Tree Traversals.mp411.53MB
  • 43 - Appendix Searching + BFS + DFS/002 BFS Introduction.mp47.44MB
  • 43 - Appendix Searching + BFS + DFS/003 DFS Introduction.mp49.39MB
  • 43 - Appendix Searching + BFS + DFS/004 BFS vs DFS.mp49.98MB
  • 43 - Appendix Searching + BFS + DFS/005 Exercise BFS vs DFS.mp41.65MB
  • 43 - Appendix Searching + BFS + DFS/006 Solution BFS vs DFS.mp47.67MB
  • 43 - Appendix Searching + BFS + DFS/007 breadthFirstSearch().mp436.21MB
  • 43 - Appendix Searching + BFS + DFS/008 PreOrder, InOrder, PostOrder.mp414.06MB
  • 43 - Appendix Searching + BFS + DFS/009 depthFirstSearch().mp438.54MB
  • 44 - Appendix Recursion/001 Recursion Introduction.mp432.86MB
  • 44 - Appendix Recursion/002 Stack Overflow.mp420.43MB
  • 44 - Appendix Recursion/003 Anatomy Of Recursion.mp449.52MB
  • 44 - Appendix Recursion/004 Recursive VS Iterative.mp412.42MB
  • 44 - Appendix Recursion/005 When To Use Recursion.mp415.91MB
  • 44 - Appendix Recursion/006 Recursion Review.mp48.56MB
  • 45 - Appendix Sorting/001 Sorting Introduction.mp420.64MB
  • 45 - Appendix Sorting/002 The Issue With sort().mp429.53MB
  • 45 - Appendix Sorting/003 Sorting Algorithms.mp424.72MB
  • 45 - Appendix Sorting/004 Bubble Sort.mp418.79MB
  • 45 - Appendix Sorting/006 Solution Bubble Sort.mp413.21MB
  • 45 - Appendix Sorting/007 Selection Sort.mp423.23MB
  • 45 - Appendix Sorting/009 Solution Selection Sort.mp416.39MB
  • 45 - Appendix Sorting/010 Dancing Algorithms.mp416.49MB
  • 45 - Appendix Sorting/011 Insertion Sort.mp47.27MB
  • 45 - Appendix Sorting/013 Solution Insertion Sort.mp412.47MB
  • 45 - Appendix Sorting/014 Merge Sort and O(n log n).mp462.95MB
  • 45 - Appendix Sorting/016 Solution Merge Sort.mp419.27MB
  • 45 - Appendix Sorting/017 Quick Sort.mp432.41MB