Question 1

How do I use this repo to prepare for coding interviews?

Accepted Answer

Focus on the 'Cracking the Coding Interview' and LeetCode sections, practice implementing solutions, and compare iterative vs. recursive approaches. Use the problems to simulate timed exercises, but verify code correctness due to potential errors.

Question 2

Is the code here safe to copy into my projects?

Accepted Answer

Not directly—the author cautions that some code is old and may have bugs. Treat it as a learning reference: study the algorithms, but rewrite or test thoroughly before using in production to avoid unsafe assumptions.

Question 3

Algorithms and Data Structures repo vs The Algorithms repo: which is better?

Accepted Answer

This repo is C++-heavy with interview focus, but has code quality warnings. 'The Algorithms' is more multi-language and community-maintained with stricter standards. Choose this for raw C++ practice, but prefer 'The Algorithms' for reliable, modern implementations.

Question 4

How to compile and run the C++ examples?

Accepted Answer

Most are standalone .cpp files; use a C++ compiler like g++ with C++11 flags. For headers in 'include', include them in your projects, but note they may lack makefiles or build instructions, requiring manual setup.

Question 5

Are there any unit tests for the algorithms?

Accepted Answer

No, the README doesn't mention test suites; users must create their own tests to validate correctness, which adds overhead but can deepen understanding through debugging.

Question 6

Can I contribute improvements to this repository?

Accepted Answer

Yes, pull requests are welcome per the note, but since activity seems low (last streaks in 2019), contributions might not be actively reviewed. Focus on fixing bugs or adding Python solutions.

algorithms_and_data_structures

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