# Mathematics

## Educational Youtube channels

* [3Blue1Brown](https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw)
* [Numberphile](https://www.youtube.com/user/numberphile/featured)
* [Stand-up Maths](https://www.youtube.com/user/standupmaths)
* [Mathologer](https://www.youtube.com/c/Mathologer)
* [PBS Infinite Series](https://www.youtube.com/c/pbsinfiniteseries/featured) ([discontinued](https://www.youtube.com/watch?v=UIwnCoqx91Q))
* [Mathmaniac](https://www.youtube.com/channel/UCrlZs71h3mTR45FgQNINfrg)
* [Veritasium](https://www.youtube.com/c/veritasium/featured)
* [Vsauce](https://www.youtube.com/channel/UC6nSFpj9HTCZ5t-N3Rm3-HA)
* [Tibees](https://www.youtube.com/user/tibees/featured)
* [Eddie Woo](https://youtube.com/c/misterwootube)
* <https://www.youtube.com/user/vihart>

## Vector Calculus

1. [A Visual, Intuitive Guide to Imaginary Numbers](https://betterexplained.com/articles/a-visual-intuitive-guide-to-imaginary-numbers/)
2. [Intuitive Arithmetic With Complex Numbers](https://betterexplained.com/articles/intuitive-arithmetic-with-complex-numbers/)
3. [Understanding Why Complex Multiplication Works](https://betterexplained.com/articles/understanding-why-complex-multiplication-works/)
4. [Intuitive Guide to Angles, Degrees and Radians](https://betterexplained.com/articles/intuitive-guide-to-angles-degrees-and-radians/)
5. [Intuitive Understanding Of Euler's Formula](https://betterexplained.com/articles/intuitive-understanding-of-eulers-formula/)
6. [An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/)
7. [Intuitive Understanding of Sine Waves](https://betterexplained.com/articles/intuitive-understanding-of-sine-waves/)
8. [An Intuitive Guide to Linear Algebra](https://betterexplained.com/articles/linear-algebra-guide/)
9. [A Programmer's Intuition for Matrix Multiplication](https://betterexplained.com/articles/matrix-multiplication/)
10. [Imaginary Multiplication vs. Imaginary Exponents](https://betterexplained.com/articles/imaginary-multiplication-exponents/)

## Calculus

1. [A Gentle Introduction To Learning Calculus](https://betterexplained.com/articles/a-gentle-introduction-to-learning-calculus/)
2. [Understanding Calculus With A Bank Account Metaphor](https://betterexplained.com/articles/understanding-calculus-with-a-bank-account-metaphor/)
3. [Prehistoric Calculus: Discovering Pi](https://betterexplained.com/articles/prehistoric-calculus-discovering-pi/)
4. [A Calculus Analogy: Integrals as Multiplication](https://betterexplained.com/articles/a-calculus-analogy-integrals-as-multiplication/)
5. [Calculus: Building Intuition for the Derivative](https://betterexplained.com/articles/calculus-building-intuition-for-the-derivative/)
6. [How To Understand Derivatives: The Product, Power & Chain Rules](https://betterexplained.com/articles/derivatives-product-power-chain/)
7. [How To Understand Derivatives: The Quotient Rule, Exponents, and Logarithms](https://betterexplained.com/articles/how-to-understand-derivatives-the-quotient-rule-exponents-and-logarithms/)
8. [An Intuitive Introduction To Limits](https://betterexplained.com/articles/an-intuitive-introduction-to-limits/)
9. [Intuition for Taylor Series (DNA Analogy)](https://betterexplained.com/articles/taylor-series/)
10. [Why Do We Need Limits and Infinitesimals?](https://betterexplained.com/articles/why-do-we-need-limits-and-infinitesimals/)
11. [Learning Calculus: Overcoming Our Artificial Need for Precision](https://betterexplained.com/articles/learning-calculus-overcoming-our-artifical-need-for-precision/)
12. [A Friendly Chat About Whether 0.999... = 1](https://betterexplained.com/articles/a-friendly-chat-about-whether-0-999-1/)
13. [Analogy: The Calculus Camera](https://betterexplained.com/articles/analogy-calculus-camera/)
14. [Abstraction Practice: Calculus Graphs](https://betterexplained.com/articles/abstraction-practice-calculus-graphs/)
15. [Quick Insight: Easier Arithmetic With Calculus](https://betterexplained.com/articles/calculus-arithmetic/)
16. [How to Add 1 through 100 using Calculus](https://betterexplained.com/articles/how-to-add-1-to-100-using-calculus/)
17. [Integral of Sin(x): Geometric Intuition](https://betterexplained.com/articles/integral-sinx/)

## Linear Algebra

* Essense of Linear algrebrea: <https://www.3blue1brown.com/essence-of-linear-algebra-page/>
* [Introduction to Linear Algebra for Applied Machine Learning with Python](https://pabloinsente.github.io/intro-linear-algebra)

## General

* So You Want to Study Mathematics… <https://www.susanrigetti.com/math>
* Recommendations by 3blue1brown: <https://www.3blue1brown.com/recommendations>
* Pauls online math notes - <https://tutorial.math.lamar.edu/>
* Mathworld from wolfram alpha - <https://mathworld.wolfram.com/>
* [A Gentle Introduction to Tensors](https://www.ese.wustl.edu/~nehorai/Porat_A_Gentle_Introduction_to_Tensors_2014.pdf) by *Boaz Porat*
* [Algebra: An Elementary Text-Book](http://onlinebooks.library.upenn.edu/webbin/book/lookupid?key=olbp36404) by [*George Chrystal*](https://en.wikipedia.org/wiki/George_Chrystal)
* [Approved Textbooks](https://aimath.org/textbooks/approved-textbooks) of the [*American Institute of Mathematics*](https://aimath.org/)
* [Book of Proof](https://www.people.vcu.edu/~rhammack/BookOfProof), Third Edition by *Richard Hammack*
* [Books by *Dr. Kenneth Kuttler*](https://klkuttler.com/)
* [Calculus Made Easy](http://calculusmadeeasy.org/) by [*Silvanus P. Thompson*](https://en.wikipedia.org/wiki/Silvanus_P._Thompson)
* [Category Theory for Programmers](https://bartoszmilewski.com/2014/10/28/category-theory-for-programmers-the-preface) by *Bartosz Milewski*
* [Euclid's Elements](https://mathcs.clarku.edu/~djoyce/java/elements/toc.html)
* [Immersive Linear Algebra](http://immersivemath.com/ila/index.html) by *J. Ström, K. Åström, and T. Akenine-Möller*
* [Interactive Linear Algebra](http://textbooks.math.gatech.edu/ila) by *Dan Margalit and Joseph Rabinoff*
* [Introduction to Theoretical Computer Science](https://introtcs.org) by [*Boaz Barak*](https://en.wikipedia.org/wiki/Boaz_Barak)
* [Seeing Theory](https://seeing-theory.brown.edu) - a book about statistics with interactive visualizations by *Daniel Kunin, Jingru Guo, Tyler Dae Devlin, and Daniel Xiang*
* Math as code - <https://github.com/Jam3/math-as-code>
