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Decode the Coding Interview in Python: Real-World Examples - AI-Powered Course 
PythonFacebook
Twitter
Important Coding Interview ProblemsTechniques for Coding Interviews
4.6
Beginner
15h
Updated 1 month ago
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.
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Overview
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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.)
Preparing for coding interviews has become a daunting task. Trying to solve enough practice questions and remember solutions can...Show More
WHAT YOU'LL LEARN
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.
Get hands on practice in preparing for coding interviews by tackling real world problem.
Show more
Content
389 Lessons195 Challenges
1.
✨Getting Started
2 Lessons
Get familiar with coding interview preparation through real-world problem scenarios and thematic patterns.
2.
Netflix
26 Lessons
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
Master the steps to tackle common coding challenges and implement efficient solutions for Facebook-like features.
4.
Search Engine
22 Lessons
Apply your skills to developing a robust search engine with efficient storage, retrieval, ranking, and fault-tolerant features.
5.
Google Calendar
17 Lessons
Map out the steps for implementing effective meeting and calendar management solutions.
6.
Stock Scraper
13 Lessons
See how Stock Scraper builds a web scraper to extract stock data dynamically.
7.
UBER
18 Lessons
Master the steps to optimize Uber’s driver allocation, route selection, and fare accessibility.
8.
Amazon
34 Lessons
Step through Amazon's tech solutions, enhancing user experience and optimizing operations for efficiency.
9.
Zoom
12 Lessons
Get started with enhancing Zoom by implementing participant management, data handling, and app features.
10.
Plagiarism Checker
6 Lessons
Lay out a solution for enhancing plagiarism detection through improved code matching strategies and practical coding tasks.
11.
Network
27 Lessons
Transform network concepts into practical coding challenges, solving real-world problems using Python.
12.
Cyber Security
12 Lessons
Dig deeper into encryption, integrity checks, decoding methods, and leader election in cyber security.
13.
Operating System
35 Lessons
Follow the process of managing OS resources, file operations, compression, and practical problem-solving.
14.
Language Compiler
22 Lessons
Master the steps to develop a C++ compiler with best-in-class optimization and validation techniques.
15.
Boggle
6 Lessons
Learn how to use DFS and trie structures for word search optimization.
16.
Scrabble 2.0
6 Lessons
Unpack the core of transitioning traditional Scrabble to a digital game, focusing on letter transformation algorithms.
17.
Game
9 Lessons
Work your way through game feature development with real-world problem-solving techniques.
18.
Stocks
19 Lessons
Grasp the fundamentals of stock trading by validating prices, managing trades, and predicting prices.
19.
Computational Biology
21 Lessons
Take a closer look at leveraging computer science to solve and analyze biological challenges.
20.
Cellular Operator(AT&T)
20 Lessons
Focus on improving AT&T's network by analyzing coverage, peak users, and optimizing deployment.
21.
17 Lessons
Practice using Twitter features to implement tweet management, recommendations, and analytical tools.
22.
Trees
8 Lessons
Sharpen your skills in various binary tree manipulations, including traversals, transformations, and optimizations.
23.
Miscellaneous
14 Lessons
Unpack the core of diverse coding challenges, emphasizing efficient algorithms and problem-solving techniques.
24.
Conclusion
1 Lessons
Examine career advancement tips, interview prep, further resources, and feedback engagement.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.8 million developers working at companies
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ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
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