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Decode the Coding Interview in Python: Real-World Examples
The ultimate guide to coding interviews in Python: Strategies developed by FAANG engineers. Prep faster with real-world problems, get interview-ready in just a few hours.
4.6
389 Lessons
15h
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 coding interview preparation through real-world problem scenarios and thematic patterns.
2.
Netflix
Netflix
Get started with enhancing user experience through advanced search, recommendation, and data analysis features.
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 tackle common coding challenges and implement efficient solutions for Facebook-like features.
4.
Search Engine
Search Engine
22 Lessons
22 Lessons
Apply your skills to developing a robust search engine with efficient storage, retrieval, ranking, and fault-tolerant features.
5.
Google Calendar
Google Calendar
17 Lessons
17 Lessons
Map out the steps for implementing effective meeting and calendar management solutions.
6.
Stock Scraper
Stock Scraper
13 Lessons
13 Lessons
See how Stock Scraper builds a web scraper to extract stock data dynamically.
7.
UBER
UBER
18 Lessons
18 Lessons
Master the steps to optimize Uber’s driver allocation, route selection, and fare accessibility.
8.
Amazon
Amazon
34 Lessons
34 Lessons
Step through Amazon's tech solutions, enhancing user experience and optimizing operations for efficiency.
9.
Zoom
Zoom
12 Lessons
12 Lessons
Get started with enhancing Zoom by implementing participant management, data handling, and app features.
10.
Plagiarism Checker
Plagiarism Checker
6 Lessons
6 Lessons
Lay out a solution for enhancing plagiarism detection through improved code matching strategies and practical coding tasks.
11.
Network
Network
27 Lessons
27 Lessons
Transform network concepts into practical coding challenges, solving real-world problems using Python.
12.
Cyber Security
Cyber Security
12 Lessons
12 Lessons
Dig deeper into encryption, integrity checks, decoding methods, and leader election in cyber security.
13.
Operating System
Operating System
35 Lessons
35 Lessons
Follow the process of managing OS resources, file operations, compression, and practical problem-solving.
14.
Language Compiler
Language Compiler
22 Lessons
22 Lessons
Master the steps to develop a C++ compiler with best-in-class optimization and validation techniques.
15.
Boggle
Boggle
6 Lessons
6 Lessons
Learn how to use DFS and trie structures for word search optimization.
16.
Scrabble 2.0
Scrabble 2.0
6 Lessons
6 Lessons
Unpack the core of transitioning traditional Scrabble to a digital game, focusing on letter transformation algorithms.
17.
Game
Game
9 Lessons
9 Lessons
Work your way through game feature development with real-world problem-solving techniques.
18.
Stocks
Stocks
19 Lessons
19 Lessons
Grasp the fundamentals of stock trading by validating prices, managing trades, and predicting prices.
19.
Computational Biology
Computational Biology
21 Lessons
21 Lessons
Take a closer look at leveraging computer science to solve and analyze biological challenges.
20.
Cellular Operator(AT&T)
Cellular Operator(AT&T)
20 Lessons
20 Lessons
Focus on improving AT&T's network by analyzing coverage, peak users, and optimizing deployment.
21.
17 Lessons
17 Lessons
Practice using Twitter features to implement tweet management, recommendations, and analytical tools.
22.
Trees
Trees
8 Lessons
8 Lessons
Sharpen your skills in various binary tree manipulations, including traversals, transformations, and optimizations.
23.
Miscellaneous
Miscellaneous
14 Lessons
14 Lessons
Unpack the core of diverse coding challenges, emphasizing efficient algorithms and problem-solving techniques.
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#, Go, Ruby, Elixir, Scala, Swift, JavaScript, and Kotlin.)
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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