Published: Tue 06 September 2022
Recommendations. Best Things I've Read
This is a list of the best things I've ever read on various topics. The criteria for inclusion in this list are simple:
Simple. It has to be approchable without a deep background on the subject material. Most of us don't have time to become experts before we read a great work.
Engaging. There is plenty of worthy material in the world that I will never be able to plow my way through. I won't include anything on my list that I haven't read completely.
Provokes Change. The greatest things I have read irrecovably change the way I think and the way I see the world. Often they provide me with new tools and approaches as I try to understand the world and to create new things.
Sorry that I haven't provided detailed descriptions at this time. I hope to come back and flesh this out with what each book/article covers, why it is profound, and what you will get out of reading it. In the meantime, trust me I guess? These are all great.
README from the original commit of git (
Text File) Git Book, Chapter 10: Git Internals (
Online Book) The Log: What every software engineer should know about real-time data's unifying abstraction (
Article) Machine Learning recommendation: Python Machine Learning by Raschka and Mirjalili (Buy from
Packt) Machine Learning recommendation: Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow by Aurélien Géron (Buy from
O'Reilly) Feynman's Appendix to the Rogers Commission Report on the Challenger Disaster (
PDF) The Mythical Man-Month: Essays on Software Engineering by Fred Brooks (
Wikipedia Page) I would love to be able to include Structure and Interpretation of Computer Programs by Abelson and Sussman on this list, but unfortunately I've never read it. I did watch their excellent MIT lecture series of the same material. (
YouTube). Numerical Recipes in C++ (
How to Live
A Man for All Markets - Autobiography by Edward O.Thorp (
Author's Page) Math
* The Competitive Strategy: Techniques for Analyzing Industries and Competitors (
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