Question 1

How do I find the best JavaScript interview questions in awesome-interview-questions?

Accepted Answer

Navigate to the JavaScript section in the README's table of contents, which lists multiple resources including essential questions from Toptal, common coding exercises, and front-end specific guides. Start with the top links as they are often the most vetted by the community.

Question 2

Is awesome-interview-questions better than LeetCode for interview prep?

Accepted Answer

Awesome Interviews is a curated list of resources, while LeetCode is an interactive platform for coding practice. Use Awesome Interviews for breadth and theory across many topics, and LeetCode for hands-on problem-solving; they serve different but complementary purposes.

Question 3

How can I contribute to awesome-interview-questions?

Accepted Answer

Check the 'contribution guidelines' linked in the README, which provide instructions on adding new resources or categories. However, since the project is not actively maintained, contributions might not be reviewed or merged quickly.

Question 4

Does awesome-interview-questions have system design interview questions?

Accepted Answer

Yes, it includes sections on design patterns and networks, but for dedicated system design, look under 'Comprehensive lists' or search for specific resources linked in the README. Coverage may be less extensive than on specialized sites like System Design Primer.

Question 5

How up-to-date is the content in awesome-interview-questions?

Accepted Answer

Given the project's inactive status, some links may be outdated, such as those referencing older frameworks or technologies. It's best to cross-check publication dates and rely on more recently updated community contributions if available.

Question 6

Where are the Python data science interview questions in awesome-interview-questions?

Accepted Answer

Look under the 'Data Science' section in the README, which lists top interview questions from sources like Edureka and DataCamp. Also, check the Python section for language-specific questions that might overlap with data science topics.

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