Question 1

How to use interview-questions repository effectively for interview preparation?

Accepted Answer

Clone the repository, study each file's problem statement, and try solving it yourself before checking the solution. Use it as a reference for common Python patterns, but supplement with practice on interactive platforms for a well-rounded prep.

Question 2

Is interview-questions better than HackerRank for Python coding practice?

Accepted Answer

Interview-questions offers static, focused problem-solution pairs for self-paced review, while HackerRank provides interactive challenges with tests and leaderboards. Choose based on whether you need structured study or competitive practice.

Question 3

How do I run the Python code from interview-questions on my local machine?

Accepted Answer

Ensure Python is installed, clone the repository, navigate to the directory, and execute files using a terminal command like `python filename.py`. Modify the code as needed to test different inputs or scenarios.

Question 4

Does interview-questions include solutions for data structures like graphs or trees?

Accepted Answer

The repository covers various coding challenges, but you should browse the file list to see specific topics, as it's not explicitly categorized. It's best for general algorithmic problems in Python.

Question 5

Can I add my own problems to interview-questions or improve existing solutions?

Accepted Answer

Since it's a GitHub repository, you can fork it and submit pull requests, but check for contribution guidelines in the README. However, the project appears minimal, so active maintenance might be limited.

Question 6

Are the solutions optimized for performance in terms of time and space complexity?

Accepted Answer

The focus is on clarity, so solutions may not be the most optimized. It's recommended to analyze and refine them yourself, using this as a starting point for understanding common approaches.

Question 7

What level of Python knowledge is needed to benefit from interview-questions?

Accepted Answer

It's best for intermediate to advanced Python developers familiar with basic algorithms, as it assumes proficiency in coding without beginner tutorials. Beginners might struggle without additional explanations.

Interview questions solved in python

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