Recursion and backtracking in Python
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Problems to practice
- Fibonacci
- Factorial
- Permutations
- Subsets
- Combination Sum
- N-Queens
- Sudoku
Example: subset generation
def subsets(nums):
result = []
def backtrack(start, path):
result.append(path.copy())
for i in range(start, len(nums)):
path.append(nums[i])
backtrack(i + 1, path)
path.pop()
backtrack(0, [])
return resultInterview guidance
Backtracking tries a branch and then undoes it to continue exploring other cases.
Adapted from 18_DSA_PYTHON.md · “6. Recursion and backtracking in Python”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.