[Free] The Binary Tree Algorithms Crash Course In Python
Learn the essential binary tree traversal algorithms and solve common interview problems. – Free Course
What you’ll learn
- Solve common technical interview problems that deal with binary tree data structures
- Implement the essential binary tree traversal algorithms in Python
- Visualize the mechanics of binary tree algorithms
- Analyze the Big-O time and space complexity of binary tree algorithms
Requirements
- This course assumes basic knowledge of the Python programming language. Students should be familiar with variables, if statements, loops, and functions.
Description
Welcome to the Binary Tree Algorithms Crash Course in Python. This mini-course is designed to give you the background and tools you need to start solving Binary Tree interview problems. We’ll give you all the essential knowledge you need in less than three hours. This course is designed especially for beginners, so you don’t need to know any data structures and algorithms to get started.
This crash course is a great fit for you if:
you are a beginner to data structures and algorithms
you need a structured system to learn about binary trees in a short amount of time
you don’t like wasting your time drilling random, disconnected leetcode problems
you want to build a robust visual and mental understanding of algorithms
you want to be taught by a former Google engineer with years of professional teaching experience
The course features video explanations for every piece of curriculum. This includes conceptual video animations and Python implementation walkthroughs for every problem. We will start simple and progress to more complex problems to ensure that you understand every step of the way.
During the course we’ll learn how to:
master the two essential algorithms that serve as the backbone to virtually every Binary Tree problem
apply these algorithms to solve common technical interview problems
visualize the thought-process behind each problem
analyze the Big-O time and space complexity of solutions
This course is the most efficient way to learn about Binary Tree algorithms.
Author(s): Alvin Zablan
