Download Learn Data Structure and Algorithms In Python Step by Step totally free. The creation and evaluation of effective data structures is a fundamental area of study in computing that is covered in the basic courses for undergraduate degrees in computer science and computer engineering. Algorithms and Data Structures Algorithms and data structures are introduced in Python, including their design, evaluation, and execution. These notes are intended for use in an introductory data structures course or an introduction to algorithms at the intermediate level.
We have made an effort to maintain an object-oriented perspective throughout these notes in order to encourage the creation of reliable and reusable software. The idea that data should be portrayed as being encapsulated with the techniques that access and modify it is one of the core tenants of the object-oriented approach. That is, as opposed to we think of data objects as cases of an abstract type of data (ADT) that consists of a library of data types that go beyond merely seeing data as a set of bytes and addresses ways for doing actions on this sort of data object. Then, we underline that a specific implementation strategy may have a number of alternative implementation methods ADT, and consider the relative benefits and drawbacks of various options.
Following topics are covered in these notes
Python Primer
Object Oriented Programming
Algorithm Analysis
Recursion
Array based Sequence
Stacks, Queues, Deques
Linked Lists
Trees
Priority Queues
Search Trees
Sorting and Selection
