(From LinkedIn post by Sofien Kaabar)
A personal scrapbook for things small and big, that I have found to be meaningful, insightful, and beautiful. ................ Poems, paragraphs, art, movies, books , articles and …....................................................................................... (Access on PC/Laptop to browse through categories)
This article was written in 'Times of India' in August 2018, when the state of Kerala was dealing with devastating floods ....
‘Shall i compare thee to a sun-drenched beach … ?’ Alas it’s not the sun that’s done the drenching this monsoon of Kerala’s discontent. But why let the heart-wrenching images drown all that has made this state segue into our collective consciousness in so many ways, with so many lilting names?
Let’s go with the flow – and a prayer for paradise regained.
Ayurveda, Alleppey, Arundhati Roy,
aappam, Asin, Achutha Menon, Achuthanandan, AK Antony. Backwaters, Balu Nayar
my friend, Bekkal beach, Bharananganam temple, Balamani Amma the ‘poetess of
motherhood’, beef chilli fry, banana chips.
Chottanikkara devi, communists,
cardamom plantations, Chemmeen the novel and the film, Cochin Jews, chatti
pathiri the layered Ramzan specialty, Carnatic music, coconut in
everything. Diaspora. Ernakulam, erachi varutharachathu the roasted mutton
curry, pumpkin-lentil erissery if you’re ‘vejirreriyan’.
Floods. And prayers against them at
Guruvayoor. Along with generous Gulf money.
Hill stations, houseboats, horoscope
casting with fail-safe accuracy, hundred-percent literacy. Idukki, Idiyappam.
Kochi Biennale, Kottayam book-shops,
Kasargod, Kollam, Kovalam, Kumarakom, Kozhikode, Kathakali, Kasavu saris in
cream and gold, Kamala Das, KR Meera, Kay Kay Menon.
Matrilineal, Malayala Manorama,
Munnar, Malabar, Moplah, Mar Thoma Church, meen molee, Manu Joseph and Pillai.
Mallu jokes. Namboodiripad, Nair women, nadan pattu dance, nadan kozhi roast,
Neha Dhupia (yes, the same!), nurses, nuns once of gun-running infamy.
Onam, OV Vijayan, Oommen Chandy.
Periyar, parota, Padma Lakshmi, puttu with or without kadala curry, palada
payasam, puli inji the ginger-tamarind chutney, Parsuram whose remorseful axe
heaved into the Arabian Sea gave rise to Kerala.
Rescue, relief, rehab, rebuild,
rejuvenate.
Snake-boat races, Sabarimala,
settu-mundu style of Namboothiri women, Shobana,
Shankar my efficient secretary,
Shirodhara therapy, Sadhya rice meal. Thanjavur-Travancore, Tilottama of Raja
Ravi Varma, Thiruvananthapuram nee Trivandrum, Thrissur.
Udvartana and ubtaan massages. Vaikom
Mohammed Basheer, Vidya Balan, vastu vidya, Varkala beach. Waterfalls at
Athirapalli, Palaruvi, Tusharagiri, Vazhachal.
No floods can submerge
many-splendoured Kerala.
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From : 'Yes to life' by Victor Frankl
It is not only through our actions that we can give life meaning — insofar as we can answer life’s specific questions responsibly — we can fulfill the demands of existence not only as active agents but also as loving human beings: in our loving dedication to the beautiful, the great, the good.
Should I perhaps try to explain for you with some hackneyed phrase how and
why experiencing beauty can make life meaningful? I prefer to confine myself to
the following thought experiment: imagine that you are sitting in a concert
hall and listening to your favorite symphony, and your favorite bars of the
symphony resound in your ears, and you are so moved by the music that it sends
shivers down your spine; and now imagine that it would be possible (something
that is psychologically so impossible) for someone to ask you in this moment
whether your life has meaning. I believe you would agree with me if I declared
that in this case you would only be able to give one answer, and it would go
something like: “It would have been worth it to have lived for this moment
alone!
Those who experience, not the arts, but nature, may have a
similar response, and also those who experience another human being. Do we not
know the feeling that overtakes us when we are in the presence of a particular
person and, roughly translates as, The fact that this person exists in the
world at all, this alone makes this world, and a life in it, meaningful.
Dr. Baba Adhav, founder of 'Hamal Panchayat' and pillar of Maharashtra's social reforms and labor movement passed away in December 2025.
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It is at moments like these that many people are called by an inner voice and find themselves compelled to set forth on an inner quest.
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That's a 20-year-old paper by a guy named Avery Wang (Founder/Chief Scientist at Shazam and currently a Principal Research Scientist at Apple), and the math behind it is one of the cleanest ideas in all of computer science.
Sound is just a list of numbers. Your microphone records how loud the air is, thousands of times per second. Two recordings of the same song look completely different as raw numbers. Background noise, different volumes, different rooms. You can't match them directly.
So Shazam doesn't even try to match the raw sound.
Instead, it chops the audio into tiny 0.3-second slices and runs a mathematical operation (Fourier Transform)
Any sound is secretly just a bunch of pure tones layered on top of each other. The Fourier Transform pulls those tones apart and tells you exactly which frequencies are present and how loud each one is.
Shazam runs this on each 0.3-second slice, one after another. The "Short-Time" in Short-Time Fourier Transform just means you do it slice by slice, so you know not just which frequencies exist but when they were loud.
Stack all those slices side by side and you get a grid - time running left to right, frequency running bottom to top, brightness showing how loud each frequency is at each moment. This is called a spectrogram.
Then it throws away most of that grid. It keeps only the brightest point in each frequency band, per time window. What you're left with is a sparse scatter of dots - like a constellation map of the song's loudest moments.
For every "anchor" dot, Shazam looks at nearby dots and asks how far away they are in both time and frequency. Each relationship becomes a single code.
A 3-minute song produces roughly 10,000 of these addresses. Shazam pre-computes them for every song in their catalogue and stores it all in a lookup table.
When you Shazam something, your phone generates the same addresses from your noisy snippet and looks them up. If the same song keeps appearing, and the time offsets keep clustering at the same gap, that's your match.
The whole thing runs in under a second. Shazam doesn't search through 10 million songs. It looks up a hash.
That's an O(1) operation - the lookup time stays flat whether the database has 10 million songs or 100 million.
Source: Arin Verma