HomeCoursesDecode the Coding Interview in Python: Real-World Examples
4.5

Beginner

15h

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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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.

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Content

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.

3.

Facebook

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.

Twitter

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
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Developed by MAANG Engineers
Every Educative lesson is designed by our in-house 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.

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