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Decode the Coding Interview in Go: Real-World Examples
The ultimate guide to coding interviews in Go. Practice with real-world interview questions from top companies. Deploy strategies developed by FAANG engineers and get interview-ready in hours.
5.0
389 Lessons
19h
Also available in
Also available in
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Get hands on practice in preparing for coding interviews by tackling real world problem.
- Prepare for interviews by solving the frequently asked coding question at companies like FAANG.
- Perform an in-depth analysis of commonly asked coding interview problems.
- Learn to map real-world problems to actual interview questions.
Learning Roadmap
1.
✨Getting Started
✨Getting Started
Get familiar with preparing for coding interviews through real-world examples and structured problem-solving.
2.
Netflix
Netflix
Enhance Netflix's user experience with features like title grouping, top movie fetching, and session integrity validation.
Project Description For NetflixFeature #1: Group Similar TitlesFeature #2: Fetch Top MoviesFeature #3: Find Median AgeFeature #4: Popularity AnalysisFeature #5: Fetch Most Recently Watched TitlesFeature #6: Fetch Most Frequently Watched TitlesFeature #7: Browse RatingsFeature #8: Verify User SessionFeature #9: Movie Combinations of a GenreFeature #10: Calculate Median of Buffering EventsFeature #11: Generate Movie Viewing OrdersFeature #12: Maintain Continue Watching BarWhat Did We Learn?DIY: Group AnagramsDIY: Merge K Sorted ListsDIY: Find Median from a Data StreamDIY: Monotonic ArrayDIY: LRU CacheDIY: LFU CacheDIY: Min StackDIY: Validate Stack SequencesDIY: Letter Combinations of a Phone NumberDIY: Sliding Window MedianDIY: PermutationsDIY: Maximum Frequency Stack
3.
22 Lessons
22 Lessons
Master the steps to enhance Facebook's functionality through problem-solving and algorithmic techniques.
4.
Search Engine
Search Engine
22 Lessons
22 Lessons
Grasp the fundamentals of building a search engine with features like efficient word storage, autocomplete, and query optimization.
5.
Google Calendar
Google Calendar
17 Lessons
17 Lessons
Take a closer look at scheduling, conflict management, and optimization within Google Calendar.
6.
Stock Scraper
Stock Scraper
13 Lessons
13 Lessons
Tackle creating a stock scraper, parsing the DOM, and analyzing stock data for profit.
7.
UBER
UBER
18 Lessons
18 Lessons
Master practical skills and problem-solving techniques for Uber-related coding challenges in Go.
8.
Amazon
Amazon
34 Lessons
34 Lessons
Sharpen your skills in implementing Amazon's real-world coding challenges in Go.
9.
Zoom
Zoom
12 Lessons
12 Lessons
Unpack the core of enhancing participant management, serialization, mini-games, and data validation within Zoom.
10.
Plagiarism Checker
Plagiarism Checker
6 Lessons
6 Lessons
Examine plagiarism detection techniques, token matching, and methods to identify and compare code similarities.
11.
Network
Network
27 Lessons
27 Lessons
Grasp the fundamentals of network design, protocols, and optimization strategies crucial for coding interviews.
12.
Cyber Security
Cyber Security
12 Lessons
12 Lessons
Solve problems in cyber security with encryption, packet validation, message integrity, and leader election.
13.
Operating System
Operating System
35 Lessons
35 Lessons
Focus on OS features like process scheduling, memory allocation, dependency management, and file system optimization.
14.
Language Compiler
Language Compiler
22 Lessons
22 Lessons
Piece together the parts of creating an innovative C++ compiler with various optimization features.
15.
Boggle
Boggle
6 Lessons
6 Lessons
Step through Boggle game features, implementing word search methods and recognizing interview patterns.
16.
Scrabble 2.0
Scrabble 2.0
6 Lessons
6 Lessons
Walk through digital Scrabble's transformation mechanics using graph algorithms for word conversions.
17.
Game
Game
9 Lessons
9 Lessons
Master the steps to develop online games and apply these concepts in coding interviews.
18.
Stocks
Stocks
19 Lessons
19 Lessons
Apply your skills to enhance stock trading processes, validating prices, managing trades, and evaluating broker performance.
19.
Computational Biology
Computational Biology
21 Lessons
21 Lessons
Deepen your knowledge of computational biology with practical software development applications in DNA analysis.
20.
Cellular Operator(AT&T)
Cellular Operator(AT&T)
20 Lessons
20 Lessons
Tackle real-world cellular network challenges by optimizing coverage, signal strength, and user connectivity.
21.
17 Lessons
17 Lessons
Build on developing Twitter APIs, managing feeds, user engagement, and solving coding challenges.
22.
Trees
Trees
8 Lessons
8 Lessons
Sharpen your skills in various binary tree operations and traversal techniques efficiently.
23.
Miscellaneous
Miscellaneous
14 Lessons
14 Lessons
Discover the logic behind advanced algorithms for solving complex interview problems using Go.
Certificate of Completion
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Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can feel impossible.
Fortunately, the best way to be successful in the coding interview is not to just grind through problems. The best way is to develop the skills to break down a new problem and deploy the right tools to come up with a solution.
That’s why in this course, you’ll prepare for coding interviews by tackling real world problems faced by tech companies. When you solve real problems related to real projects (for example, paginating attendees in a Zoom call), not only will you have more fun preparing, but you’ll also have an easier time remembering what you’ve learned.
After each project, we’ll also show you what kinds of interview problems you’ll now be able to solve using the techniques you just applied, so that your knowledge is adaptable to new problems.
(This course is also available in Rust, Java, C++, C#, Python, Ruby, Elixir, Scala, Swift, Kotlin, and JavaScript.)
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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