Destiny: The Official Cookbook
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1 HN comments
Extreme Privacy: What It Takes to Disappear
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1 HN comments
Investing 101: From Stocks and Bonds to ETFs and IPOs, an Essential Primer on Building a Profitable Portfolio (Adams 101)
Michele Cagan CPA
4.6 on Amazon
1 HN comments
Product Roadmaps Relaunched: How to Set Direction while Embracing Uncertainty
C. Todd Lombardo , Bruce McCarthy , et al.
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1 HN comments
They Ask, You Answer: A Revolutionary Approach to Inbound Sales, Content Marketing, and Today's Digital Consumer
Marcus Sheridan
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1 HN comments
Bitcoin Billionaires
Ben Mezrich, Will Damron, et al.
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1 HN comments
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD
Jeremy Howard and Sylvain Gugger
4.8 on Amazon
1 HN comments
Essential Scrum: A Practical Guide to the Most Popular Agile Process (Addison-Wesley Signature Series (Cohn))
Kenneth Rubin
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1 HN comments
Jackpot: How the Super-Rich Really Live―and How Their Wealth Harms Us All
Michael Mechanic
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1 HN comments
Management Information Systems: Managing the Digital Firm
Kenneth Laudon and Jane Laudon
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1 HN comments
How to DeFi
CoinGecko , Darren Lau , et al.
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1 HN comments
Thank God for Bitcoin: The Creation, Corruption and Redemption of Money
Bitcoin and Bible Group, Jimmy Song , et al.
4.7 on Amazon
1 HN comments
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton
4.7 on Amazon
1 HN comments
Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century
Jeff Lawson and Eric Ries
4.6 on Amazon
1 HN comments
Learning Spark: Lightning-Fast Data Analytics
Jules S. Damji , Brooke Wenig, et al.
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1 HN comments
theodpHNonDec 25, 2020
Howard makes the case for why even "real" programmers should give notebook environments a chance. In addition to supporting literate programming ("code as literature") and exploratory programming ("code as scientific notebook") in a live coding environment, Howard explains how notebooks can improve documentation, learning and sharing, testing, and deployment. And add-ins and tools, like Howard's own nbdev, can help address what's missing in Jupyter Notebook. As an example, Howard notes how fastdoc even enabled him to write and publish "Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD using Jupyter Notebooks." Excellent, inspiring talk!
Jeremy Howard - Creating delightful libraries and books with nbdev and fastdoc | JupyterCon 2020
https://www.youtube.com/watch?v=HKt19-GsA1I