README.md

Dynamic Programming Examples

Model use cases of dynamic programming solved in Python. Credits to this youtube video.

Python's mutable default arguments

For memoisation, it seems natural to initialised a memo argument with an empty dictionary like this:

def f(x, memo={}):
    # do something
    return 

Because of the way python default arguments work this means the contents of memo are remembered across consecutive calls of f. For cases like the Fibonacci series, this is indeed an advantage, as f(x) depends exclusively on x in a mathematical sense and previous computations can be reused safely.

In a case such as canSum, the memoisation key x is contextual to another argument arr:

def canSum(x, arr, memo={}):
    # do something
    return

so memoised values should not be kept across function calls. Therefore, it is best to initialised memo as follows:

def canSum(x, arr, memo=None):
    if memo is None:
        memo = {}

which guarantees a clean memo for each call.