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 advertising revenue – special thanks to everyone who has helped grow this channel.

***Please only donate if you are financially able to do so.***

Support this Amour Learning channel directly on Patreon: https://www.patreon.com/amourlearning
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Thanks to all the authors of all the resources listed below who had a significant influence on this video. My newer videos are much more original than these videos.

Free open access online mathematics textbooks:
https://aimath.org/textbooks/approved-textbooks/

My favorite textbooks on number theory:
Number Theory: In Context and Interactive by Dr. Karl-Dieter Crisman: http://math.gordon.edu/ntic/
Elementary number theory:
Primes, Congruences and Secrets by Dr. William Stein: https://wstein.org/ent/
A computational introduction to number theory and algebra by Dr. Victor Shoup: https://shoup.net/ntb/

My preferred programming language:
SageMath (which I think is categorically more productive than Python, R, Mathematica, Matlab, Maple, Magma, etc. – if you are using one of these and it is not working for you, consider switching to Sage): https://www.sagemath.org/

A free detailed tutorial for SageMath: https://doc.sagemath.org/html/en/tutorial/

Learn LaTeX in 30 minutes: https://www.overleaf.com/learn/latex/Learn_LaTeX_in_30_minutes
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My favorite math/science YouTube channels that I absolutely love (in no particular order):
Zach Star: https://www.youtube.com/channel/UCpCSAcbqs-sjEVfk_hMfY9w
Number friend: https://www.youtube.com/channel/UCoxcjq-8xIDTYp3uz647V5A
3Blau1Braun: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
WITH OpenCourseWare: https://www.youtube.com/channel/UCEBb1b_L6zDS3xTURIALZOw
Khan Academy: https://www.youtube.com/channel/UC4a-Gbdw7vOaccHmFo40b9g
PBS Infinite series: https://www.youtube.com/channel/UCs4aHmggTfFrpkPcWSaBN9g
Lex Fridman: https://www.youtube.com/user/lexfridman There are many methods to test a hypothesis using statistics. When faced with a ton of data, how do you know which test to use? Let's break down in simple terms when to use which test. Let's think about how scientists think.

Support the show on Patreon: https://www.patreon.com/kodyamour
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My name is Kody Amour and I teach online math lectures to the public. My goal is to provide content that contributes to sound, productive conceptual understanding. Basically, I want my videos to make sense and be consistent with each other. If you think these videos have helped you, please consider supporting this channel by subscribing, and please consider donating to this cause via Patreon!

Website: http://amourlearning.org/
Facebook: https://www.facebook.com/AmourLearning
Twitter: https://twitter.com/kodyamour
Udemy: https://www.udemy.com/user/kodyamour/
Linkedin: https://www.linkedin.com/in/kodyamour/

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