Hacker News Books

40,000 HackerNews book recommendations identified using NLP and deep learning

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The Order of Time

Carlo Rovelli, Benedict Cumberbatch, et al.

4.5 on Amazon

1 HN comments

The Circadian Code: Lose Weight, Supercharge Your Energy, and Transform Your Health from Morning to Midnight

Satchin Panda PhD

4.6 on Amazon

1 HN comments

The Shallows: What the Internet Is Doing to Our Brains

Nicholas Carr

4.4 on Amazon

1 HN comments

Beyond: The Astonishing Story of the First Human to Leave Our Planet and Journey into Space

Stephen Walker

4.7 on Amazon

1 HN comments

Superforecasting: The Art and Science of Prediction

Philip E. Tetlock and Dan Gardner

4.4 on Amazon

1 HN comments

The Hidden Spring: A Journey to the Source of Consciousness

Mark Solms

4.6 on Amazon

1 HN comments

The Conversation: How Seeking and Speaking the Truth About Racism Can Radically Transform Individuals and Organizations

Robert Livingston

4.7 on Amazon

1 HN comments

The Art of Statistics: How to Learn from Data

David Spiegelhalter

4.6 on Amazon

1 HN comments

Sea People: The Puzzle of Polynesia

Christina Thompson

4.6 on Amazon

1 HN comments

Chess: 5334 Problems, Combinations and Games

László Polgár and Bruce Pandolfini

4.6 on Amazon

1 HN comments

Elements: A Visual Exploration of Every Known Atom in the Universe

Theodore Gray and Nick Mann

4.8 on Amazon

1 HN comments

The Death of Expertise: The Campaign against Established Knowledge and Why it Matters

Tom Nichols

4.5 on Amazon

1 HN comments

The Gene: An Intimate History

Siddhartha Mukherjee, Dennis Boutsikaris, et al.

4.7 on Amazon

1 HN comments

What the Dog Saw: And Other Adventures

Malcolm Gladwell and Hachette Audio

4.5 on Amazon

1 HN comments

The True Believer: Thoughts on the Nature of Mass Movements (Perennial Classics)

Eric Hoffer

4.7 on Amazon

1 HN comments

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jpcooperonApr 3, 2021

I learnt a good bit of C++ by going through Elements of Programming Interviews, trawling through cppreference.com and getting help from #C++ on FreeNode for the difficult parts. Coming from mainly functional languages, I actually found it quite fun going through cppreference.com and seeing all the interesting ways in which C++ does things. Especially the STL.

Pick an interesting project and continue in that vein. The biggest difficulty for me was understanding the memory model and all the different types of value, references and so on, but #C++ was again a brilliant resource for smart pointers to good articles on the difficult subjects.

Professional C++ programmers might have other opinions on how best to learn.

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