Problem Solving with Algorithms and Data Structures using Python The Interactive Edition

Linear data structures maintain their data in an ordered fashion.

Stacks are simple data structures that maintain a LIFO (last in, first out) ordering.

The fundamental operations for a stack are push, pop, and is_empty.

Queues are simple data structures that maintain a FIFO (first in, first out) ordering.

The fundamental operations for a queue are enqueue, dequeue, and is_empty.

Prefix, infix, and postfix are all ways to write expressions.

Stacks are very useful for designing algorithms to evaluate and translate expressions.

Stacks can provide a reversal characteristic.

Queues can assist in the construction of timing simulations.

Simulations use random number generators to create a real-life situation and allow us to answer “what if” types of questions.

Deques are data structures that allow hybrid behavior like that of stacks and queues.

The fundamental operations for a deque are add_front, add_rear, remove_front, remove_rear, and is_empty.

Lists are collections of items where each item holds a relative position.

A linked list implementation maintains logical order without requiring physical storage requirements.

Modification to the head of the linked list is a special case.