Recursion

Recursion

Even if the concept of recursion is simple, a lot of people struggle with it (not understanding the recursive process, not being able to figure out the base cases and recursive cases...), this is why I wanted to create a course on recursion that explains it and illustrates it in detail, it also contains 11 solved and explained coding problems to practice.

And knowing recursion will also give you a new way of thinking, which is dividing the problem into multiple instances of the same problem, which will help you understanding techniques like dynamic programming, backtracking...

See you in the first lecture!

The course covers:

• What is recursion

• Code and execution

• Base cases and recursive cases

• Multiple recursive calls process

• Call stack

• Recursion tree

• How to visualize the process

• Recursive functions complexity analysis (time and space comp)

• Recursion vs Iteration

• How to optimize a recursive function (memoization and dynamic programming)

• Divide-and-conquer

• Backtracking

• Recursive data structures

• Tail recursion

• Double recursion

• How to think recursively

Plus 11 solved and explained coding problems to practice:

• Sum of digits

• Count occurrences

• Has adjacent duplicates

• Reverse string

• Minimum cost path in matrix

• All possible phrases

• Keypad combinations

• String subsequences

• Binary numbers with at most 2 zeros

• Word search

• Array permutations

Why you should take this course:

• Detailed explanation of how the recursive process works

• Animated examples

• Good audio/video quality

• Real English captions

• Contains coding problems to practice

• Ability to ask questions if you don't understand something

A detailed course that covers all what you need to know to be comfortable with recursion and not be afraid of it anymore

Url: View Details

What you will learn

• Recursion
• Recursive process
• Optimizing a recursive function (with memoization and dynamic programming)

Rating: 4.46429

Level: Beginner Level

Duration: 5 hours

Instructor: Inside Code