Hi! My name is Kody Amour, and I make free math videos on YouTube. My goal is to provide free open-access online college math lecture series on YouTube using free open-access resources. I rely on generous donations and ad revenue - a special thanks to everyone who helped this channel grow.

***Please only give if you have the financial ability to do so.***

Support this Amour Learning channel directly on Patreon: [ Ссылка ]
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Credit to all of the authors of all of the resources below that greatly helped influence this video. My newer videos are much more original than these videos.

Free open-access online math textbooks:
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My favorite number theory textbooks:
Number Theory: In Context and Interactive by Dr. Karl-Dieter Crisman: [ Ссылка ]
Elementary Number Theory:
Primes, Congruences, and Secrets by Dr. William Stein: [ Ссылка ]
A Computational Introduction to Number Theory and Algebra by Dr. Victor Shoup: [ Ссылка ]

My favorite programming language:
SageMath (which in my view is categorically more productive than Python, R, Mathematica, Matlab, Maple, Magma, etc - if you're using any of these and they aren't working out, consider switching to Sage): [ Ссылка ]

A free in-depth tutorial for SageMath: [ Ссылка ]

Learn LaTeX in 30 minutes: [ Ссылка ]
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My favorite math/science YouTube channels that I absolutely love (in no particular order):
Zach Star: [ Ссылка ]
Numberphile: [ Ссылка ]
3Blue1Brown: [ Ссылка ]
MIT OpenCourseWare: [ Ссылка ]
Khan Academy: [ Ссылка ]
PBS Infinite Series: [ Ссылка ]
Lex Fridman: [ Ссылка ] In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis. More precisely, a study's defined significance level, denoted α, is the probability of the study rejecting the null hypothesis, given that the null hypothesis were true; and the p-value of a result, p, is the probability of obtaining a result at least as extreme, given that the null hypothesis were true.

Support The Show On Patreon: [ Ссылка ]
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My name is Kody Amour, and I provide online math lectures to the public. My aim is to provide content that attends to a sound, productive conceptual understanding. Basically, I want to make sense, and I want my videos to be coherent with each other. If you think that these videos have helped you, please consider supporting this channel by subscribing, and please consider donating to this cause via Patreon!

Website: [ Ссылка ]
Facebook: [ Ссылка ]
Twitter: [ Ссылка ]
Udemy: [ Ссылка ]
Linkedin: [ Ссылка ]

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