Best Explainers on Different Subjects
post by JMiller · 2015-03-18T20:32:55.958Z · LW · GW · Legacy · 24 commentsContents
24 comments
There are many recommended reading threads on lesswrong. Some examples include: Math, Textbooks and Rationality.
I am looking to compile another such thread, this time aimed at "exceptional explainers" and their works. For example, I find Richard Feynman's QED: The Strange Theory of Light and Matter to be one such book.
Please list out other authors and books which you think are wonderfully written, in such a way that maximizes communication and explanation to laypeople in the given field. For example:
Physics: Richard Feynman - QED: The Strange Theory of Light and Matter.
Thank you,
Jeremy
24 comments
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comment by lukeprog · 2015-03-18T23:37:39.168Z · LW(p) · GW(p)
I tried this earlier, with Great Explanations.
Replies from: Gunnar_Zarncke, JMiller↑ comment by Gunnar_Zarncke · 2015-03-19T06:56:47.570Z · LW(p) · GW(p)
And you should also have mentioned Best Textbooks on every Subject.
Replies from: JMiller↑ comment by JMiller · 2015-03-19T17:11:28.511Z · LW(p) · GW(p)
Thanks Gunnar. Luke may not have linked his thread, because I did so in the OP.
Replies from: Gunnar_Zarncke↑ comment by Gunnar_Zarncke · 2015-03-20T04:44:44.436Z · LW(p) · GW(p)
Oh yeah, the old problem of the visibilty of single-word links.
comment by D_Malik · 2015-03-18T23:18:00.400Z · LW(p) · GW(p)
- Better Explained for math
- Explained Visually for math/CS
- /r/AskScience
- /r/AskHistorians
- Explain Like I'm Five (only sometimes good)
comment by Gunnar_Zarncke · 2015-03-19T06:54:03.287Z · LW(p) · GW(p)
Geometrical Vectors builds a visual intuition and vocabulary for dealing with vector analysis. It is a non-standard approach but very useful for visually oriented people,
comment by HungryHobo · 2015-03-19T10:37:34.861Z · LW(p) · GW(p)
For an exceedingly well written intro to crypto I'd recommend The Code Book: The Secret History of Codes and Code-breaking by Simon Singh
When I got around to a final year security comp sci module it turned out that most of the information had been covered in The code book.
Replies from: JMillercomment by JohnBuridan · 2015-03-19T06:11:24.244Z · LW(p) · GW(p)
Peter Briscoe's Reading the Map of Knowledge is a helpful short monograph on helping you optimize your learning and research into different fields. It is meant for librarians and lay people alike.
comment by interstice · 2015-03-21T01:37:28.026Z · LW(p) · GW(p)
Another one on computing: The Elements of Computing Systems. This book explains how computers work by teaching you to build a computer from scratch, staring with logic gates. By the end you have a working (emulation of) a computer, every component of which you built. It's great if you already know how to program and want to learn how computers work at a lower level.
comment by Ben Pace (Benito) · 2015-03-20T06:52:46.395Z · LW(p) · GW(p)
"Code" by Petzold is a wonderful book which explains how a computer worksl
comment by SanguineEmpiricist · 2015-03-19T03:33:23.221Z · LW(p) · GW(p)
"Mainstream and Formal epistemology" - Hendricks is an incredible book and should be read by most.
comment by Shmi (shminux) · 2015-03-19T03:01:02.531Z · LW(p) · GW(p)
I always recommend Flatland to anyone interested in visualizing extra dimensions.
Replies from: None, JMillercomment by CurtisSerVaas · 2015-03-23T16:21:57.541Z · LW(p) · GW(p)
Metacademy is a knowledge graph of machine learning.
Visual Group Theory is a really well-written book on group theory.
comment by diegocaleiro · 2015-03-20T22:36:54.362Z · LW(p) · GW(p)
some others I found worthwhile checking:
Human and Animal Behavioral Biology - Robert Sapolsky
General Relativity - Bertrand Russell - ABC of relativity
For LWers I believe Yudkowsky>Feynman>Drescher in explaining Quantum Physics by analogy.
Memetics, from the standpoint of engineering effective memes -> Made to Stick
Memetics, as a discipline, field of knowledge -> Tim Tyler
Anything he talks about - Steve Pinker
Zoology - Dawkins
Cognitive Neuroscience -> I have delved long and hard in this field and have yet to find a good explainer. Jeff Hawkins and Terrence Deacon are ok.
Winning -> Randy Pausch
Biotech trends -> Juan Enriquez
Statistical trends in humans -> Hans Rosling
comment by darius · 2015-03-20T17:59:59.628Z · LW(p) · GW(p)
Computing: The Pattern On The Stone by Daniel Hillis. It's shorter and seemingly more focused on principles than the Petzold book Code, which I can't compare further because I stopped reading early (low information density).
comment by coyotespike · 2015-03-19T19:22:40.332Z · LW(p) · GW(p)
"Thinking Physics is Gedanken Physics" is a brilliantly intuitive approach to physics from mechanics to relativity.
comment by [deleted] · 2015-04-22T16:33:30.032Z · LW(p) · GW(p)
'Pollination ecology' by Faegri and van dear Pijl makes sense of flower diversity and possibly evolution, though perhaps is heavish for an intro.