Master Math by Coding in Python [Video]

By Codestars by Rob Percival , Mike X Cohen
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  1. Introduction and Installations

About this video

Many people don’t know that Python is a really powerful tool for learning math. Sure, you can use Python as a simple calculator, but did you know that Python can help you learn more advanced topics in algebra, calculus, and matrix analysis? That’s exactly what you’ll learn in this course.

The glaring question would be: if you don’t know anything about Python, then how will you code?

Don’t worry, this course is aimed at complete beginners; the instructor will take you through every step of the code. You don’t need to know anything about Python, although it’s useful if you already have some programming experience.

Even if you are not at all good at math, you will be amazed at how much better you can learn math using Python as a tool to help with your courses or your independent study. And that’s exactly the point of this course: Python programming as a tool to learn mathematics. This course is designed to be the perfect addition to any other math course or textbook that you are going through.

A lot of hands-on practical exercises come with this course, each video has at least one hands-on coding/math exercise and each section ends with “bug hunts“ where you get to find and fix math-coding errors.

By the end of the course, you will be able to understand very complex mathematical concepts with a bit of coding in Python.

The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Master-Math-by-Coding-in-Python

Publication date:
August 2021
Publisher
Packt
Duration
37 hours 5 minutes
ISBN
9781801074537

About the Authors

  • Codestars by Rob Percival

    Rob Percival, a best-selling Udemy instructor, wants to revolutionize the way people learn to code by making it simple, logical, fun, and—above all—accessible. He created Codestars, a team of instructors that create structured, interactive courses that make it easy for learners of all ages and levels to build functional websites and apps.

    Browse publications by this author
  • Mike X Cohen

    Mike X Cohen is an associate professor at the Radboud University Medical Center and the leader of the Synchronization in the Neural Systems research group. His research focuses on using state-of-the-art neuroscience methods to understand the mechanisms and implications of brain circuit dynamics and has been funded by government agencies in the US, Germany, Netherlands, and Europe, and by private institutions and medical centers. Mike has been teaching time series analysis, applied mathematics, and scientific programming for almost 20 years. He has published several textbooks on these topics and teaches a variety of real-life and online courses. He lives in Amsterdam, has a questionable sense of humor, and enjoys navigating the grit and urban beauty of the city.

    Browse publications by this author
Master Math by Coding in Python [Video]
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