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This repo is for the Linkedin Learning course: Programming Foundations: Algorithms

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Programming Foundations: Algorithms

This is the repository for the LinkedIn Learning course Programming Foundations: Algorithms. The full course is available from LinkedIn Learning.

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Algorithms are the universal building blocks of programming. They power the software you use every day, whether it's a spreadsheet, a social network, or a driving assistant. Algorithms offer a way to think about programming challenges in plain English, before they are translated into a specific language like C# or JavaScript. In this course, author and developer Joe Marini explains some of the most popular and useful algorithms for searching and sorting information, working with techniques like recursion, and understanding common data structures. He also discusses the performance implications of different algorithms and how to evaluate the performance of a given algorithm. Each algorithm is shown in practice in Python, but the lessons can be applied to any programming language. The course is also set up with GitHub Codespaces, so you can follow along with the examples without installing anything on your computer.

Installing

  1. To use these exercise files, you must have the following installed:
    • Python 3.10
    • A text editor like Visual Studio Code
  2. You can also work online directly using a Github Codespace.
  3. To work locally, clone this repository into your local machine using the terminal (Mac), CMD (Windows), or a GUI tool like SourceTree.

Instructor

Joe Marini has been building software professionally for some of the biggest and best known companies in Silicon Valley for more than 30 years.

Check out my other courses on LinkedIn Learning.

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This repo is for the Linkedin Learning course: Programming Foundations: Algorithms

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