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

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Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy

George Gilder

4.3 on Amazon

4 HN comments

Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World

Don Tapscott, Alex Tapscott, et al.

4.2 on Amazon

4 HN comments

Launch: An Internet Millionaire's Secret Formula To Sell Almost Anything Online, Build A Business You Love, And Live The Life Of Your Dreams

Jeff Walker

4.5 on Amazon

4 HN comments

Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction

Arvind Narayanan, Joseph Bonneau, et al.

4.5 on Amazon

4 HN comments

Head First Python: A Brain-Friendly Guide

Paul Barry

4.5 on Amazon

4 HN comments

Advances in Financial Machine Learning

Marcos Lopez de Prado

4.5 on Amazon

4 HN comments

Learn Python 3 the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (Zed Shaw's Hard Way Series)

Zed Shaw

4.4 on Amazon

4 HN comments

The Elder Scrolls: The Official Cookbook

Chelsea Monroe-Cassel

4.9 on Amazon

4 HN comments

This Is How They Tell Me the World Ends: The Cyberweapons Arms Race

Nicole Perlroth

4.6 on Amazon

4 HN comments

Team Topologies: Organizing Business and Technology Teams for Fast Flow

Matthew Skelton , Manuel Pais , et al.

4.6 on Amazon

4 HN comments

Designing Interfaces: Patterns for Effective Interaction Design

Jenifer Tidwell , Charles Brewer , et al.

4.5 on Amazon

4 HN comments

Personal Kanban: Mapping Work | Navigating Life

Jim Benson and Tonianne DeMaria Barry

4.3 on Amazon

4 HN comments

Silent Weapons for Quiet Wars: An Introductory Programming Manual

Anonymous

4.5 on Amazon

4 HN comments

Effective C: An Introduction to Professional C Programming

Robert C. Seacord

4.5 on Amazon

4 HN comments

Fanatical Prospecting: The Ultimate Guide to Opening Sales Conversations and Filling the Pipeline by Leveraging Social Selling, Telephone, Email, Text, and Cold Calling (Jeb Blount)

Jeb Blount and Mike Weinberg

4.7 on Amazon

3 HN comments

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vjdhamaonOct 4, 2017

There's this course by the people who wrote `Bitcoin and Cryptocurrency Technologies`

It covers the basics pretty well.

http://bitcoinbook.cs.princeton.edu/

avinasshonOct 1, 2017

If you are interested in building one in Golang, here is a good article I read recently - Building Blockchain in Go [0]

Bonus: There is a pretty good Coursera course on the same - Bitcoin and Cryptocurrency Technologies [1] and it also has a really good companion book - Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction [2]

[0] - https://jeiwan.cc/posts/building-blockchain-in-go-part-1/

[1] - https://www.coursera.org/learn/cryptocurrency

[2] - https://www.amazon.com/dp/B01GGQJ2XW

CoryG89onJuly 20, 2016

My point was not that mining pools completely do away with decentralization, just that contrary to your comment, additional network computing power does not necessarily contribute to that decentralization. It can in fact push it in the opposite direction. And the reason for that is mining pools. If it wasn't for mining pools, your statement would always be true.

There is a lot about this topic in the new, free book from Princeton authors titled "Bitcoin and Cryptocurrency Technologies" (a great read)[1]. There is much research being done on the front of finding the best way to eliminate mining pools or at least stop them from potentially centralizing consensus to just a handful of people.

[1]: https://freedom-to-tinker.com/blog/randomwalker/the-princeto...

yarapavanonSep 4, 2017

This article challenges that view by showing that nearly all of the technical components of bitcoin originated in the academic literature of the 1980s and '90s (see figure 1). This is not to diminish Nakamoto's achievement but to point out that he stood on the shoulders of giants. Indeed, by tracing the origins of the ideas in bitcoin, we can zero in on Nakamoto's true leap of insight—the specific, complex way in which the underlying components are put together. This helps explain why bitcoin took so long to be invented. Readers already familiar with how bitcoin works may gain a deeper understanding from this historical presentation. (For an introduction, see Bitcoin and Cryptocurrency Technologies by Arvind Narayanan et al.36) Bitcoin's intellectual history also serves as a case study demonstrating the relationships among academia, outside researchers, and practitioners, and offers lessons on how these groups can benefit from one another.
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