LESSON 71 / 75·2 min readIntermediate

Dynamic programming in Python

Should knowConcept lesson
01 Understand02 Recall03 Prepare

Problems to practice

  • Climbing Stairs
  • House Robber
  • Coin Change
  • Longest Increasing Subsequence
  • Unique Paths
  • Word Break
  • Partition Equal Subset Sum

Example: Fibonacci DP

Python
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.


PAUSE & RECALL

Can you explain it without the notes?

Dynamic programming in Python

Use your own words. Explain an example and one limitation before checking the explanation.

Check your explanation

Common questions

CONNECT IT TO YOUR INTERVIEW

Turn this concept into a clear answer.

Practice this concept
YOUR NEXT STEP

Keep connecting the ideas.

Next lesson: Binary search and greedy in Python

Adapted from 18_DSA_PYTHON.md · “10. Dynamic programming in Python”. Examples are study fragments; framework behavior can depend on your version.