This course provides an in-depth exploration of algorithms, the universal building blocks of programming that power everyday software. It offers a practical approach to understanding and applying some of the most popular and useful algorithms for searching and sorting information, working with recursion, and understanding common data structures. The course also delves into the performance implications of different algorithms and how to evaluate them effectively. While the algorithms are demonstrated in Python, the lessons are applicable to any programming language. The course is designed to be interactive, allowing you to follow along with the examples in a hassle-free environment. This course is an excellent resource for anyone looking to deepen their understanding of algorithms and their application in programming.
This course provides an in-depth exploration of algorithms, the universal building blocks of programming that power everyday software. It offers a practical approach to understanding and applying some of the most popular and useful algorithms for searching and sorting information, working with recursion, and understanding common data structures. The course also delves into the performance implications of different algorithms and how to evaluate them effectively. While the algorithms are demonstrated in Python, the lessons are applicable to any programming language. The course is designed to be interactive, allowing you to follow along with the examples in a hassle-free environment. This course is an excellent resource for anyone looking to deepen their understanding of algorithms and their application in programming.
Learning Objectives
Understanding the power and importance of algorithms
Identifying common algorithms in programming
Measuring algorithm performance
Getting introduced to common data structures
Working with arrays and linked lists
Understanding and implementing stacks and queues
Utilizing dictionaries in programming
Grasping the concept of recursion and its applications
Exploring various sorting algorithms including bubble, merge, and quicksort
Implementing search algorithms in unordered lists and binary search