Data Structures

Agenda

• What are Data Structures?
• Let's start from arrays.
• Built-in DS.
• Why DS?
• How to create a DS?
• DS vs OOP approach.
• Resources

What are Data Structures?

Data + Operations over them

Array

• How to:
  • Search (a value or predicate)
  • Insert
  • Delete
  • Match (strings)
  • Uniqueness Guarantee
  • Order Guarantee
  • etc...

Built-in & Commonly used DS

• Queue
• Stack
• Heap
• AVL Tree
• B Tree
• Hash

Why do people need DS?

• Arrays are not enough.
  • Efficiency.
  • Functionality.
• The same data can be represented/organized in different ways.
• We adore abstraction.
  • We prefer 123 over 0000000001111011.
• Encapsulation.
  • How to add 123 to 5?

Why should I learn DS?

• Skill.
• Variety & Trading-off.
• Building a composite/complex one.

How to create a DS?

• Procedural.
• Object Oriented.
• Functional.
  • Pure functions? Immutability?
  • Data sharing!
• Other...

What's special about DS's OOP?

Resources

• Data structures And Algorithms in C++ (Goodrich).
• Data structures And Algorithms in C++ (Drozdek).
• Introduction to Algorithms (CLRS).
• Dr. Mustafa Saad's courses.
• Coach Muhammad Abdulwahab's sessions.