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Python: Recursion

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Robin Andrews

2:10:22

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  • 01.01-the power of recursion.mp4
    00:47
  • 01.02-what you should know.mp4
    00:45
  • 01.03-working with github.mp4
    05:10
  • 02.01-the concept of recursion.mp4
    01:08
  • 02.02-why recursion is important.mp4
    01:24
  • 03.01-the ingredients of a recursive algorithm.mp4
    04:11
  • 03.02-recursion in action.mp4
    03:26
  • 03.03-the factorial function iterative version.mp4
    03:26
  • 03.04-a recursive factorial function.mp4
    04:13
  • 03.05-winding and unwinding the call stack in recursion.mp4
    06:47
  • 03.06-challenge fix the recursive algorithm.mp4
    01:11
  • 03.07-solution the fundamentals of recursion.mp4
    01:08
  • 04.01-recursive fibonacci function in python.mp4
    05:32
  • 04.02-recursive sum function in python.mp4
    05:23
  • 04.03-recursive greatest common divisor function in python.mp4
    06:07
  • 05.01-recursive multiplication algorithm in python.mp4
    03:29
  • 05.02-recursive exponentiation algorithm in python.mp4
    03:12
  • 05.03-string length recursive algorithm.mp4
    05:03
  • 06.01-introduction to quicksort.mp4
    04:59
  • 06.02-coding the quicksort algorithm in python.mp4
    06:27
  • 06.03-challenge check your understanding of quicksort.mp4
    00:32
  • 06.04-solution check your understanding of quicksort.mp4
    01:30
  • 07.01-traversing a linked list using recursion.mp4
    07:46
  • 07.02-traversing a tree using recursion overview.mp4
    04:54
  • 07.03-traversing a tree using recursion python implementation.mp4
    05:20
  • 07.04-challenge tree traversal.mp4
    00:23
  • 07.05-solution tree traversal.mp4
    00:19
  • 08.01-memory considerations with recursive algorithms.mp4
    01:57
  • 08.02-memoization in python.mp4
    07:01
  • 08.03-tail call optimization in python.mp4
    03:45
  • 09.01-h-tree fractal using python turtle graphics.mp4
    05:22
  • 09.02-sierpinski triangle.mp4
    05:54
  • 10.01-introduction to the towers of hanoi puzzle.mp4
    03:15
  • 10.02-coding the towers of hanoi puzzle in python.mp4
    05:31
  • 11.01-recursion vs. iteration.mp4
    02:05
  • 11.02-conclusion.mp4
    01:00
  • Description


    Recursion is part of the very fabric of computer science and software development, and whether you rarely use it or if it’s a key part of your development, there’s a good chance recursion is happening behind the scenes. Recursion is a powerful tool in breaking down complex problems into more manageable segments, and knowledge of recursion is a desirable trait that employers look for in developer positions. In this course, Robin Andrews takes a deep dive into the concepts, techniques, and applications of recursion using Python. He starts with some real-world examples of recursion, and then shows how it pertains to software development. He covers classic recursive algorithms like factorials and Fibonacci numbers, before showing how to write recursive algorithms in Python through practice exercises. After completing this course, you will have a better idea of how to use recursive algorithms to solve a wide range of software development issues.

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    Robin Andrews
    Robin Andrews
    Instructor's Courses
    Python programming and Computer Science instructor at Compucademy.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 36
    • duration 2:10:22
    • Release Date 2024/10/14