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Decode the Coding Interview in C++: Real-World Examples Coupon-Educative.io

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Here is what you will Learn from Decode the Coding Interview in C++: Real-World Examples

1. ✨Getting Started

  1. Course Overview
  2. Who Should Take This Course?

2. Netflix

  1. Project Description For Netflix
  2. Feature #1: Group Similar Titles
  3. Feature #2: Fetch Top Movies
  4. Feature #3: Find Median Age
  5. Feature #4: Popularity Analysis

3. Facebook

  1. Project Description for Facebook
  2. Feature #1: Friend Circles
  3. Feature #2: Copy Connections
  4. Feature #3: Find Story ID

4. Search Engine

  1. Project Description for Search Engine
  2. Feature #1: Store and Fetch Words
  3. Feature #2: Design Search Autocomplete System
  4. Feature #3: Add White Spaces to Create Words
  5. Feature #4: Suggest Possible Queries After Adding White Spaces

5. Google Calendar

  1. Feature #1: Find Meeting Rooms
  2. Feature #2: Show Busy Schedule
  3. Feature #3: Check if Meeting is Possible
  4. Feature #4: Schedule a New Meeting
  5. Feature #5: Find Common Meeting Times

6. Stock Scraper

  1. Project Description for Stock Scraper
  2. Feature #1: Traversing DOM Tree
  3. Feature #2: Locating Stock Data
  4. Feature #3: Traversing DOM Tree II
  5. Feature #4: Maximum Profit

7. UBER

  1. Project Description for Uber
  2. Feature #1: Select Closest Drivers
  3. Feature #2: Path Cost
  4. Feature #3: Plot and Select Path
  5. Feature #4: Fare in Words

8. Amazon

  1. Project Description for Amazon
  2. Feature #1: Suggest Items for Free Delivery
  3. Feature #2: Suggest Items for Special Offer
  4. Feature #3: Upselling Products
  5. Feature #4: Copy Product Data

9. Zoom

  1. Project Description for Zoom
  2. Feature #1: Display Meeting Lobby
  3. Feature #2: Serialize and Deserialize Participant Data
  4. Feature #3: Meeting Activity
  5. Feature #4: Validate Sorted Participants Data

10. Plagiarism Checker

  1. Project Description for Plagiarism Checker
  2. Feature #1: Possible Matches
  3. Feature #2: Return Match
  4. What Did We Learn?
  5. DIY: Number of Matching Subsequences

11. Network

  1. Feature #1: Total Time
  2. Feature #2: TTL Expiry
  3. Feature #3: Minimum Hops
  4. Feature #4: Maximum Routers
  5. Feature #5: Update VLAN ID

12. Cyber Security

  1. Project Description for Cyber Security
  2. Feature #1: Validate Packet Structure
  3. Feature #2: Verify Message Integrity
  4. Feature #3: Find Dictionary
  5. Feature #4: Ways to Decode Message
  6. Feature #5: Eligible Candidates

13. Operating System

  1. Project Description for Operating System
  2. Feature #1: Allocate Space
  3. Feature #2: Resume Process
  4. Feature #3: Schedule Processes
  5. Feature #4: Compress File

14. Language Compiler

  1. Feature #1: Remove Comments
  2. Feature #2: Evaluate the Arithmetic Expression
  3. Feature #3: Loop Unrolling
  4. Feature #4: Optimization by Replacement
  5. Feature #5: Compilation Step Failure

15. Boggle

  1. Project Description for Boggle
  2. Feature #1: Search for a Single Word in the Boggle Grid
  3. Feature #2: Search for Maximum Number of Words in the Boggle Grid
  4. What Did We Learn?
  5. DIY: Word Search I

16. Scrabble 2.0

  1. Project Description for Scrabble
  2. Feature #1: Minimum Moves
  3. Feature #2: Possible Results
  4. DIY: Word Ladder II

17. Game

  1. Project Description for Game
  2. Feature #1: Hand of Straights
  3. Feature #2: Maximum Points You Can Obtain from Cards
  4. Feature #3: Balloon Splash
  5. What Did We Learn?

18. Stocks

  1. Project Description for Stocks
  2. Feature #1: Validate Price
  3. Feature #2: Settling Period
  4. Feature #3: Goals Fulfilled
  5. Feature #4: Milestone Reached

19. Computational Biology

  1. Project Description for Computational Biology
  2. Feature #1: Mutate DNA
  3. Feature #2: Detect Virus
  4. Feature #3: Locate Protein
  5. Feature #4: Identifying Proteins

20. Cellular Operator(AT&T)

  1. Project Description for Cellular Operator
  2. Feature #1: Determine Location
  3. Feature #2: Low Coverage Area
  4. Feature #3: Power Up the Station
  5. Feature #4: Query Peak Users

21. Twitter

  1. Project Description for Twitter
  2. Feature #1: Add Likes
  3. Feature #2: Merge Tweets In Twitter Feed
  4. Feature #3: Identify Peak Interaction Times
  5. Feature #4: Split Users into Two Groups

22. Trees

  1. Invert Binary Tree
  2. Flip Equivalent Binary Trees
  3. Binary Tree Maximum Path Sum
  4. Binary Tree Zigzag Level Order Traversal
  5. Binary Tree Right Side View

23. Miscellaneous

  1. Minimum Knight Moves
  2. Sparse Matrix Multiplication
  3. Design In-Memory File System
  4. Spiral Matrix
  5. Design Tic-Tac-Toe

24. Conclusion

  1. Where to Go from Here?
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