Dynamic programming in Python
Practice this questionWANT TO UNDERSTAND THE CONCEPT FIRST?Learn Dynamic programming in Python
Problems to practice
- Climbing Stairs
- House Robber
- Coin Change
- Longest Increasing Subsequence
- Unique Paths
- Word Break
- Partition Equal Subset Sum
Example: Fibonacci DP
def fib(n):
dp = [0] * (n + 1)
dp[0] = 0
if n >= 1:
dp[1] = 1
for i in range(2, n + 1):
dp[i] = dp[i - 1] + dp[i - 2]
return dp[n]Interview guidance
If the same subproblem repeats, dynamic programming is usually a strong candidate.
Adapted from 18_DSA_PYTHON.md · “10. Dynamic programming in Python”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.