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Home> Programming> Programming Language> Master Math by Coding in Python
Master Math by Coding in Python
Master Math by Coding in Python

Master Math by Coding in Python: Learn and master complex topics in mathematics with a bit of coding using Python

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Profile Icon Codestars By Rob PercivalProfile Icon Mike X CohenProfile Icon Mike X Cohen
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€103.99
Full star iconFull star iconFull star iconFull star iconHalf star icon4.3(4 Ratings)
VideoAug 202137hrs 5mins1st Edition
Video
€103.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Codestars By Rob PercivalProfile Icon Mike X CohenProfile Icon Mike X Cohen
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€103.99
Full star iconFull star iconFull star iconFull star iconHalf star icon4.3(4 Ratings)
VideoAug 202137hrs 5mins1st Edition
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€103.99
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Renews at €18.99p/m
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Free Trial
Renews at €18.99p/m

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Key benefits

  • 33+ hours of instruction that includes Python coding, visualization, loops, variables, and functions
  • Each video has at least one hands-on coding/math exercise and each section ends with "bug hunts"
  • Overview of beginner and advanced mathematics, from solving for “x” to computing integrals

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

Who is this book for?

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.You need not have any prior experience or knowledge in coding; just be ready with your learning mindset at the highest level.

What you will learn

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date :Aug 25, 2021
Length:37hrs 5mins
Edition :1st
Language :English
ISBN-13 :9781801074537
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Table of Contents

14 Chapters
Introduction and InstallationsChevron down iconChevron up icon
How to Get the Most Out of this Course!
Using Python through Jupyter (Installing Anaconda)
Using Python Online (No Installation)
Create a Beautiful Harmonograph
Getting Help in Python
ArithmeticChevron down iconChevron up icon
Addition, Subtraction, Multiplication, and Division
Using Variables in Place of Numbers
Printing Out Equations in Jupyter Notebook
Writing Comments in Python
Exponents (Powers)
Using For-Loops to Compute Powers
Order of Operations
Testing Inequalities and Boolean Data Type
Using If-Statements and Logical Operators
Absolute Value
Remainder After Division (Modulus)
Create Interactive Math Functions, Part 1
Create interactive math functions, Part 2
Create interactive math functions, Part 3
Arithmetic Bug Hunt!
Introduction to SymPy and LaTeXChevron down iconChevron up icon
Introduction to SymPy, Part 1
Introduction to LaTeX
Introduction to SymPy, Part 2
Printing with F-Strings
Example: Use SymPy to Understand the Law of Exponents
SymPy/LaTeX Bug Hunt!
Python Data TypesChevron down iconChevron up icon
Numbers and Strings
Lists and NumPy Arrays
Algebra 1Chevron down iconChevron up icon
Solving for X
Solving for X: Exercises
Expanding Terms
Creating and Accessing Matrices with NumPy
Exercise: Create a Multiplication Table
Associative, Commutative, and Distributive Properties
Creating and Working with Python Lists
More on Slicing' in Python
Greatest Common Denominator
Greatest Common Denominator: Exercises
Introduction to Python Dictionaries
Prime Factorization
Solving Inequalities
Adding Polynomials
Multiplying Polynomials
Dividing by Polynomials
Factoring Polynomials
Algebra 1 Bug Hunt!
Graphing and VisualizationChevron down iconChevron up icon
Plotting Coordinates on a Plane
Plotting Coordinates on a Plane: Exercise
Graphing Lines - Part 1: Start/End Notation
Graphing Lines - Part 2: Slope-Intercept Form
Graphing Rational Functions
Plotting with SymPy
Plotting with SymPy: Exercises
Course Tangent: Self-Accountability in Online Learning
Making Images from Matrices
Images from Matrices: Exercise
Drawing Patches with Polygons
Exporting Graphics as Pictures
Graphing Bug Hunt!
Algebra 2Chevron down iconChevron up icon
Summation and Products
Differences (Discrete Derivative)
Roots of Polynomials
Roots of Polynomials: Exercise
The Quadratic Equation
Complex Numbers: Addition and Subtraction
Complex Numbers: Conjugate and Multiplication
Complex Numbers: Division
Graphing Complex Numbers
Revisiting the Quadratic Equation with Complex Numbers
The Unit Circle
Natural Exponent and Logarithm
Find a Specific Point on a Gaussian
Exercise: A Family of Gaussians
Graphing the Complex Roots of Unity
Log-Spaced and Linearly Spaced Numbers
Logarithm Properties: Multiplication and Division
Arithmetic and Geometric Sequences
Orders of Magnitude and Scientific Notation
Maxima and Minima of Functions
Even and Odd Functions
Algebra 2 Bug Hunt!
Graphing Conic SectionsChevron down iconChevron up icon
Graphing Parabolas
Creating Contours from Meshes in Python
Graphing Circles
Graphing Ellipses
Graphing Hyperbolas
Conic Bug Hunt!
TrigonometryChevron down iconChevron up icon
Introduction to Random Numbers
Introduction to Random Numbers: Exercise
Exercise: Plotting Random Phase Angles
Converting between Radians and Degrees
Converting Angles: Exercise
The Pythagorean Theorem
Graphing Resolution for Sine, Cosine, and Tangent
Graphing and Resolution: Exercise
Euler‘s Formula
Euler's Formula: Exercise
Exercise: Random Exploding Euler
Exercise: Random Snakes with Cosine and Sine
Trigonometry Bug Hunt!
Art from TrigonometryChevron down iconChevron up icon
Astroid Radial Curve
Rose Curves
Squircle
Logarithmic Spiral
Logistic Map
CalculusChevron down iconChevron up icon
Mathematical Proofs Versus Intuition with Examples
Computing Limits of a Function
Computing Limits: Exercise
Piecewise Functions
Derivatives of Polynomials
Derivatives of Polynomials: Exercise
Derivatives of Trig Functions
Derivatives of Trig Functions: Exercise
Graphing a Function Tangent Line
Graphing Tangent Lines: Exercise
Finding Critical Points
Finding Critical Points: Exercise
Partial Derivatives
Indefinite and Definite Integrals
Exercise: The Fundamental Theorem of Calculus
Area between Two Curves
Area between Two Curves: Exercise
Calculus Bug Hunt!
Linear AlgebraChevron down iconChevron up icon
Row and Column Vectors
Adding and Scalar-Multiplying Vectors
The Dot Product
Dot Product Application: Correlation Coefficient
The Outer Product
Matrix Multiplication
Transposing Vectors and Matrices
Various Special Matrices
Matrix Inverse
Matrix Pseudoinverse: Exercise
Solving a System of Equations
Visualizing Matrix-Vector Multiplication
Eigenvalues and Eigenvectors
Eigendecomposition: Exercise
Singular Value Decomposition
SVD of Einstein: Exercise
Linear Algebra Bug Hunt!
Probabilities and HistogramsChevron down iconChevron up icon
Histograms and Probability Densities
Probability Exercise: Math Functions
Virtual Coin Tosses
Exercise: Virtual Weighted Dice
Building Distributions from Random Numbers
Exercise: Normalize Any Distribution to Gaussian
The Central Limit Theorem
Exercise: The Central Limit Theorem
Joint Probability Distributions
Probability Bug Hunt!
Number TheoryChevron down iconChevron up icon
Counting Perfect Numbers
Euclid's Pythagorean Triplets
Fermat's Theorem
Plotting Number Sequences
Exercise: Con/Divergent Sequences
Heron's Method of Square Roots
Exercise: Heron's Mosquito Spaceship #13
Smooth Numbers
Exercise: Smooth Numbers
Number Theory Bug Hunt!

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Customer reviews

Rating distribution
Full star iconFull star iconFull star iconFull star iconHalf star icon4.3
(4 Ratings)
5 star75%
4 star0%
3 star0%
2 star25%
1 star0%
TedJan 30, 2024
Full star iconFull star iconFull star iconFull star iconFull star icon5
Subscriber reviewPackt
Charles SchmidtJan 01, 2022
Full star iconFull star iconFull star iconFull star iconFull star icon5
What can I say, I love math.
Feefo Verified reviewFeefo
Patricia WittenDec 02, 2021
Full star iconFull star iconFull star iconFull star iconFull star icon5
I like the collection of videos.
Feefo Verified reviewFeefo
JasonDec 12, 2023
Full star iconFull star iconEmpty star iconEmpty star iconEmpty star icon2
The Python syntax is outdated.
Subscriber reviewPackt

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About the 3 authors

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Profile icon Codestars By Rob Percival
Codestars By Rob Percival
Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob's Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.
Read more
See other products by Codestars By Rob Percival
Profile icon Mike X Cohen
Mike X Cohen
LinkedIn icon
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.
Read more
See other products by Mike X Cohen
Profile icon Mike X Cohen
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.
Read more
See other products by Mike X Cohen
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