Master Math by Coding in Python
Use Python to learn algebra, calculus, graphing, trigonometry, conics, and more math topics!
Lectures -160
Duration -37 hours
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Course Description
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
Audience
This course is for absolute beginners and individuals who are looking to use computers as a learning tool and developers who want to improve their math skills. If you are in middle/high school, university, or are returning to math as an independent learner or a data professional who wants to brush up on math and Python skills, you will definitely benefit from this course. If you are bored and looking for a fun intellectual challenge, then go for it.
Goals
- Confidence in learning math using Python
- Formatting beautiful equations in LaTeX
- Integrating Python, Markdown, and LaTeX
- Python programming and data visualization
- Learn complex math concepts like calculus, trigonometry, and much more
- Solving for “x” to computing integrals to finding eigenvalues
Prerequisites
- You need not have any prior experience or knowledge in coding; just be ready with your learning mindset at the highest level.
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction and Installations
5 Lectures
-
How to Get the Most Out of this Course! 05:58 05:58
-
Using Python through Jupyter (Installing Anaconda) 08:04 08:04
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Using Python Online (No Installation) 08:41 08:41
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Create a Beautiful Harmonograph 07:02 07:02
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Getting Help in Python 09:02 09:02
Arithmetic
15 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to SymPy and LaTeX
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Python Data Types
2 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Algebra 1
18 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Graphing and Visualization
13 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Algebra 2
22 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Graphing Conic Sections
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Trigonometry
13 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Art from Trigonometry
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Calculus
18 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Linear Algebra
17 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Probabilities and Histograms
10 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Number Theory
10 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
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Packt Publishing
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