Programming Foundations: Algorithms

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Joe Marini

1:43:26

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01 - Introduction

01 - Algorithms power the world.mp4

01:01

02 - What you should know.mp4

04:10

02 - 1. Overview

01 - What are algorithms.mp4

02:31

02 - Common algorithms in programming.mp4

04:40

03 - Measuring algorithm performance.mp4

03:35

03 - 2. Common Data Structures

01 - Introduction to common data structures.mp4

01:54

02 - Arrays.mp4

02:24

03 - Linked lists.mp4

02:33

04 - Linked lists example.mp4

06:34

05 - Stacks and queues.mp4

02:28

06 - Stacks and queues example.mp4

04:46

07 - Dictionaries.mp4

06:23

04 - 3. Recursion

01 - Understanding recursion.mp4

03:58

02 - Simple recursion example.mp4

03:01

03 - Calculating power and factorial.mp4

04:24

05 - 4. Sorting Information

01 - Overview of sorting.mp4

01:54

02 - The bubble sort.mp4

04:26

03 - The merge sort.mp4

02:07

04 - Implementing the merge sort.mp4

03:30

05 - The quicksort.mp4

03:04

06 - Implementing the quicksort.mp4

05:59

06 - 5. Searching for Data

01 - Unordered list search.mp4

02:17

02 - Binary search.mp4

04:32

03 - Determine if a list is sorted.mp4

03:57

07 - 6. Practical Examples with Data Structures

01 - Unique filtering with sets.mp4

04:51

02 - Value counting with a dictionary.mp4

02:41

03 - Find max value recursively.mp4

04:14

04 - Balancing statements with Stack.mp4

04:52

08 - Conclusion

01 - Next steps.mp4

00:40

Description

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.

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Programming Fundamentals

Object Oriented Programming

Algorithms

Functional Programming

Database Programming

Joe Marini

Instructor's Courses

Seasoned software industry veteran with 30 years of experience creating developer platforms and APIs, managing strategic partners, leading high-performing teams, driving developer-focused initiatives, crafting product strategy, and advocating for great technology. Deep experience delivering both technical and business presentations to large audiences. Senior Author for LinkedIn Learning with over 50 published titles, covering subjects such as Python programming, Android Development, XML and JSON data processing, Mobile Development, jQuery, and HTML5. Specialties: Strategic Partner Management; Mobile Applications; Web standards, architecture, and development; product strategy; program management; partner marketing; SDK development; writing and speaking; developer platform API development

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