Data structures can really affect how fast algorithms work. Sometimes, they can even make things pretty tricky.

Difficulties:

1. Slow Searches: When we use arrays to find something, it can take a lot of time—about $O(n)$, which means it depends on the number of items. But with dictionaries, it's much faster—around $O(1)$, which is super quick!

2. Too Much Memory Use: Some data structures need a lot of memory, which can make it hard to manage resources.

3. Keeping Things in Order: Lists can end up mixed up, which can slow down how we do things.

Solutions:

1. Choose the right data structure for what you need.

2. Use algorithms that work best with specific data structures.