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Some Books Mentioned On this Site

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  • The Mahābhārata — The critical edition of the mahabharata available as electronic text by the Bhandarkar Oriental Institute. I is a good resource for Sanksrit learners. The text is formatted like this:
01001000a नारायणं नमस्कृत्य नरं चैव नरोत्तमम्
01001000c देवीं सरस्वतीं चैव ततो जयमुदीरयेत्
01001001A लोमहर्षणपुत्र उग्रश्रवाः सूतः पौराणिको नैमिषारण्ये शौनकस्य कुलपतेर्द्वादशवार्षिके सत्रे
01001002a समासीनानभ्यगच्छद्ब्रह्मर्षीन्संशितव्रतान्
01001002c विनयावनतो भूत्वा कदाचित्सूतनन्दनः

which makes it easy to read short sentences slowly and progressively build speed. Also available in Roman and ASCII transliteration.

Poems From The Sanskrit : John Brough via this neat thread about John Brough by Srivatsa.

“Sunāma: Beautiful Sanskrit Names” by Nityānanda Miśra.

Gramadevatas A Study Of The Feminine Divine In Bangalore Rural District 16th To 19th A D : Gomathi, Manohar (2012) from the Internet Archive.

  • Fundamentals of Python programming (PDF) — ”… introduction to computer programming textbooks are available in PDF form for free download. University and high school students and self learners around the world have found them helpful. See the terms of use in the preface of each book.”

  • Intermediate Python — “Fluent python” by Luciano Ramalho.

See also: pandoc

NLP Books
NLP books
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Database Internals by Alex Petrov.

The book consists of two parts: Storage Engines and Distributed Systems since that’s where most of the differences between the vast majority of databases is coming from.

Many of these are available on archive.org.

The Little Book of Rust Books

Speech and Language Processing — by Dan Jurafsky and James H. Martin — An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

Medical books for non-medicine people by Michael Sanger, MD

  • [output.pandoc.profile.pdf] + output-file = “output.pdf” + to = “latex”
  • Nature of Code by Daniel Shiffman. “an online resource and print book exploring the unpredictable evolutionary and emergent properties of nature in software via the creative coding framework processing.”

2024 version with a new and rebooted version of this book built around javascript and the p5.js library. The book has a few new coding tricks this time, but it’s the same old nature—birds still flap their wings, and apples still fall on our heads.

The discussions on naming and abstraction are particularly illuminating, exposing some fundamental tradeoffs like synthetic vs natural names, or principled vs adaptable systems of abstractions. Were these notions more widespread, a lot of the pointless rants and debates we hear in programming circles would disappear.

I would not recommend this book to beginners - this book is most useful when you are experienced enough that your struggle is to make choices, not to get things to work. — HN

Recommendations via Razib Khan’s Clubhouse discussions —

Got “The book of life” by J Krishnamurti. It is setup as one observation per day spanning 365 days of the year. The Daily Stoic by Ryan Holiday is another book that follows a similar format (366).

I bought these digital books that were on sale:

  • The rise and fall of communism by Archie Brown
  • The year of the Lear: Shakespeare in 1606 by James S. Shapiro

Rediscovered my own copy of:

  • Radical Candor by Kim Scott

NOTE: link to your kindle books on amazon

Reading Die Broke A Radical, Four-Part Financial Plan by Stephen M. Pollan and Mark Levine after discovering it on this blog. See review

Aumcoming: Meditations on a Sound by Amit Majmudar

Aum serves there as the let before the theorem, the sapient-incipient echo recapitulating the Big Bang in miniature. Just as Once upon a time primes the mind to receive a fairy tale, Aum primes the mind to receive transcendence and peace.

Continued to read “The Courage to be disliked”

Finished reading “Perennial Seller: The Art of Making and Marketing Work that Lasts” by Ryan Holliday.

Started reading The Courage To Be Disliked

Abelson, H., & Sussman, G. J. (1996). Structure and Interpretation of Computer Programs (2nd ed.). MIT Press.
Felleisen, M. (2001). How to Design Programs: An Introduction to Programming and Computing. The MIT Press.
Krishnamurthi, S. (2007). Programming Languages: Application and Interpretation. Shriram Krishnamurthi.
Liquet, B., Moka, S., & Nazarathy, Y. (2024). Mathematical Engineering of Deep Learning. CRC Press.
Van Roy, P., & Haridi, S. (2004). Concepts, Techniques, and Models of Computer Programming. MIT press.

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