Implement core search algorithms in Python #20
Closed
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters
Implement core Python searching algorithms and their unit tests. * **Algorithms**: - Add `linear_search.py`, `binary_search.py`, `jump_search.py`, `interpolation_search.py`, `exponential_search.py`, `fibonacci_search.py`, `ternary_search.py`, and `hash_based_search.py` with detailed comments and complexity analysis. * **Unit Tests**: - Add unit tests for each algorithm in `test_linear_search.py`, `test_binary_search.py`, `test_jump_search.py`, `test_interpolation_search.py`, `test_exponential_search.py`, `test_fibonacci_search.py`, `test_ternary_search.py`, and `test_hash_based_search.py`. * **Benchmarking**: - Add `benchmark_results.md` to document runtime benchmarks for each algorithm. * **Documentation**: - Add `README.md` for each algorithm with explanations, pseudocode, complexity analysis, code snippets, testing results, and usage guides.
BjornMelin added feature Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Add this suggestion to a batch that can be applied as a single commit. This suggestion is invalid because no changes were made to the code. Suggestions cannot be applied while the pull request is closed. Suggestions cannot be applied while viewing a subset of changes. Only one suggestion per line can be applied in a batch. Add this suggestion to a batch that can be applied as a single commit. Applying suggestions on deleted lines is not supported. You must change the existing code in this line in order to create a valid suggestion. Outdated suggestions cannot be applied. This suggestion has been applied or marked resolved. Suggestions cannot be applied from pending reviews. Suggestions cannot be applied on multi-line comments. Suggestions cannot be applied while the pull request is queued to merge. Suggestion cannot be applied right now. Please check back later.
Implement core Python searching algorithms and their unit tests.
linear_search.py,binary_search.py,jump_search.py,interpolation_search.py,exponential_search.py,fibonacci_search.py,ternary_search.py, andhash_based_search.pywith detailed comments and complexity analysis.test_linear_search.py,test_binary_search.py,test_jump_search.py,test_interpolation_search.py,test_exponential_search.py,test_fibonacci_search.py,test_ternary_search.py, andtest_hash_based_search.py.benchmark_results.mdto document runtime benchmarks for each algorithm.README.mdfor each algorithm with explanations, pseudocode, complexity analysis, code snippets, testing results, and usage guides.