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

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The Book of R: A First Course in Programming and Statistics

Tilman M. Davies

4.5 on Amazon

1 HN comments

Head First C#: A Learner's Guide to Real-World Programming with C# and .NET Core

Andrew Stellman and Jennifer Greene

4.5 on Amazon

1 HN comments

Lean UX: Designing Great Products with Agile Teams

Jeff Gothelf and Josh Seiden

4.6 on Amazon

1 HN comments

The Infinite Machine: How an Army of Crypto-Hackers Is Building the Next Internet with Ethereum

Camila Russo, Laura Jennings, et al.

4.6 on Amazon

1 HN comments

Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

Harry Percival and Bob Gregory

4.6 on Amazon

1 HN comments

The User Experience Team of One: A Research and Design Survival Guide

Leah Buley

4.6 on Amazon

1 HN comments

Level Up! The Guide to Great Video Game Design

Scott Rogers

4.7 on Amazon

1 HN comments

White Space Is Not Your Enemy: A Beginner's Guide to Communicating Visually Through Graphic, Web & Multimedia Design

Kim Golombisky and Rebecca Hagen

4.5 on Amazon

1 HN comments

Animal Crossing: New Horizons Official Companion Guide

Future Press

4.8 on Amazon

1 HN comments

Agile Retrospectives: Making Good Teams Great

Esther Derby , Diana Larsen , et al.

4.5 on Amazon

1 HN comments

Programming Bitcoin: Learn How to Program Bitcoin from Scratch

Jimmy Song

4.5 on Amazon

1 HN comments

Machine Learning in Finance: From Theory to Practice

Matthew F. Dixon , Igor Halperin , et al.

4.5 on Amazon

1 HN comments

The Economics of Data, Analytics, and Digital Transformation: The theorems, laws, and empowerments to guide your organization's digital transformation

Bill Schmarzo and Kirk Borne

4.6 on Amazon

1 HN comments

Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More

Julien Danjou

4.7 on Amazon

1 HN comments

Practical SQL: A Beginner's Guide to Storytelling with Data

Anthony DeBarros

4.7 on Amazon

1 HN comments

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dmillaronJune 6, 2021

trading costs, liquidity, structural changes in the economy etc. del prado's machine learning in finance book gives some good insight into common backtesting pitfalls/thinking that are present here. the "safe" assumption if you find a systematic strategy that backtests well is that your actual, go-forward sharpe ratio will print 50% of what your backtests suggest.
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