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dsa's Introduction

Data Structures and Algorithms

Data Structures

Arrays

Pros:

  • During lookups
  • During push/pop
  • Ordered

Cons:

  • During inserts
  • During deletes
  • Fixed size arrays

Hash Tables

Pros:

  • During lookups - only if hash collision is adjusted for
  • Fast inserts
  • Flexible keys

Cons:

  • Ordering - because Hash tables are unordered by default
  • Key iteration - because key iteration is very slow

Linked Lists

Pros:

  • Fast inserts
  • Fast deletes
  • Ordered
  • Flexible size

Cons:

  • Slow lookups
  • Consumes more memory

Stacks and Queues

Pros:

  • Fast operations
  • Fast peek
  • Ordered

Cons:

  • Slow lookups

Binary Search Trees

Pros:

  • Better than O(n)
  • Flexible size
  • Ordered

Cons:

  • No O(1) operations

Binary Heaps

Pros:

  • Better than O(n)
  • Priority
  • Flexible size
  • Fast insert

Cons:

  • Slow lookups

Graphs

Pros:

  • Relationships

Cons:

  • Scaling is hard

Algorithms

Recursion

Pros:

  • DRY (Don't Repeat Yourself) - enable reusability
  • Readability

Cons:

  • Large stack
  • Space complexity

Breadth-first Search (BFS)

Pros:

  • Shortest path
  • Closer nodes

Cons:

  • Space complexity - takes more memory

Depth-first Search (BFS)

Pros:

  • Lesser memory
  • Asks a question of "Does the path exist from one node to the other"

Cons:

  • Time complexity - can get slow

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