yantrams

[1] https://mirtitles.org/tag/science-for-everyone/

For anyone interested in scanned files of these in Telugu, you can get them from my blog here http://linkdot.link/sooviytt-prcurnnlu-childrens-books.html#...

https://www.arvindguptatoys.com/ probably has the largest collection of many of these books in English and other Indian languages. There are tons of children’s books from other countries too.

The paradox of tolerance states that if a society is tolerant without limit, its ability to be tolerant is eventually seized or destroyed by the intolerant. Karl Popper described it as the seemingly paradoxical idea that in order to maintain a tolerant society, the society must be intolerant of intolerance.

1 => https://blog.ycombinator.com/joan-lasenby-on-applications-of...

The basic unit of Sanskrit metre is called Gana and is composed of 3 syllables. Since a syllable can be either short (I) or long (U), we have 2^3 = 8 Ganas in total corresponding to UUU, UUI, UIU etc. To know the composition of a specific Gana say for example Ja Gana, one has to find the index of "Ja" in the aforementioned phrase and extract the next two syllables as well so Ja Gana equals Ja-Bhaa-Na => IUI (because Ja is short, Bhaa is long and Na is short again).

Code in Python if my explanation wasn't clear

  mnemonic = "Ya-Maa-Taa-Raa-Ja-Bhaa-Na-Sa-La-Gaam"

  def symbol(syllable):
      if syllable.count("a") == 1:
        return "I"
   else:
        return "U"

  def ganaSymbol(ganaName):
      mnerray = mnemonic.split("-")
      ganaIndex = mnerray.index(ganaName)
      return "".join([symbol(syllable) for syllable in mnerray[ganaIndex : ganaIndex + 3]])

  utpalaMala = "Na-Ja-Bhaa-Ja-Ja-Ja-Raa"

  def printMetre(metreGanas, numLines):
    print("\n".join(["".join([ganaSymbol(ganaName) for ganaName in metreGanas.split("-")])]*numLines))

[1] https://www.amazon.com/What-Mathematics-Really-Reuben-Hersh/...

https://copyright.uslegal.com/enumerated-categories-of-copyr...

[0] - https://en.wikipedia.org/wiki/Abugida

Visarga Sandhi is one example comes to my mind. It is primarily used to handle the negative cases. For example, devoid of people is 'Nirjan' which is built using 'Nih'(No) and 'Jan'(People), whereas 'Nishchal' which means devoid of motion comes from 'Nih'(No) and 'Chal'(Motion). I'm not exactly sure but the rule probably goes along the lines of - When amalgamating "Uh" sound with Hard Sounds(Ka, Cha, Ta, Tha, Pa) you add a 'Sh' sound as in Nishkalmash, Nishchal, Nishchinth etc whereas when amalgamating with Soft sounds(Ga, Ja, Da, Dha, Ba) you add a 'Rr' sound as in Nirbhay, Nirday etc.

You have hundreds of these rules that deal with all kinds of transformations, sometimes simple rules like Ka => Ga, Cha => Ja etc. and sometimes more complex rules which are conditional on the consonant sounds that precede the object of transformation(Namah + Te => Namaste). Lot of them feel arbitrarily imposed but they just feel right when you say them out aloud.

Here are a couple of examples involving vowel transformations.

Mahaa(Great) + Indra(Lord) => Mahendra(Great Lord) (aa(as in car) + e(as in kick) => ae(as in vent))

Mahi(Earth) + Indra(Lord) => Mahindra(Lord of Earth) (e(as in kick) + e(as in kick) => ee(as in screen))

https://docs.google.com/spreadsheets/d/17VJKBTBnHDpLTXOrB58L...

Just a couple of days ago, I discovered Clowes work in the movie 'Paul'. I thought the art work looked very much like that of Clowes' and paused the screen to observe it closely and noticed that it was signed 'Pussey'(after Dan Pussey, the timid cartoonist character in Clowes' universe), which confirmed it for me :) https://imgur.com/a/HbCLB5c

Clowes also drew one of Silicon Valley's promos https://pbs.twimg.com/media/C9V2XMLUIAA8oaC.jpg

Just a couple of days ago, I discovered Clowes work in the movie 'Paul'. I thought the art work looked very much like that of Clowes' and paused the screen to observe it closely and noticed that it was signed 'Pussey'(after Dan Pussey, the timid cartoonist character in Clowes' universe), which confirmed it for me :) https://imgur.com/a/HbCLB5c

Clowes also drew one of Silicon Valley's promos https://pbs.twimg.com/media/C9V2XMLUIAA8oaC.jpg

I fooled around a bit with lastfm data for band recommendation and found this sheet quite helpful.

If you are interested in learning more about asymmetrical similarity, here is a great primer by Tversky - http://www.cogsci.ucsd.edu/~coulson/203/tversky-features.pdf