"We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness."

Did you know?

Rani Bhabani was the Queen of Natore, Bengal or 'Natorer Rani' as she was famously called. She made great contributions in Tarapith & renovated Benaras.

In Varanasi, Durga Kund Mandir was constructed by Rani Bhabani in the 18th century.

Born in Chhatimgram village, Bogra District,Her father's name was Atmaram Choudhury.Bhabani was married off to Raja Ramkanta Moitra,the then zamindar of Rajshahi.After his death, Bhabani became the zamindar, and started being referred to as Rani.She was known as Ardhabangeshwari.

A woman as a zamindar was extremely rare in those days, but Rani Bhabani managed the vast Rajshahi zamindari most efficiently and effectively for over four decades.
Maharani Bhavani was very pious in her personal life. She passed her life in a strict disciplined way.

She conducted the administrative work skillfully. As a Maharani she was an impartial judge. Rani Bhavani had a very hard time during the fag end of her life. The Zamindari (estate) incurred serious loss due to the change of the revenue policy of the company.

In spite of being the owner of a large Zamindari (estate), she had to depend on the stipend of the government in the later part of her life. The amount of this stipend gradually decreased and became Rs. 1000/- only in the end.

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.

SRI MOOKAMBIKA DEVI, KOLLUR (KAR)

There was an Asura, Kaumasura, who was doing penance to please Shiva and get a boon. To prevent him from asking for a boon, Devi Saraswati made him dumb (hence called Mookasur)
Later, Adi Parashakti slayed him and came to be called Mookambika.

It is said that Adi Shankaracharya had a vision in which Devi agreed to follow him provided he did not look back. He kept walking and was assured of her presence due to the sound of anklets. When he reached here in Kollur, he turned back as the sound of anklets had stopped.

So Devi stayed here and merged with the lingam. The place came to be called Mookambika Kshetram.
The linga has integrated on it’s left side MahaKali, Maha Lakshmi and Maha Saraswathi and on the right side- Brahma, Vishnu and Shiva.

A swarna rekha (gold line) divides this linga into left and right portion. Adi Shakthi in this Udhbhavlinga form appears only here.
Devi sits in padmasana and has 4 hands.
Adi Shankaracharya installed the Sri Chakra in front of Devi and also composed the Soundarya Lahiri here.

Met a Brazilian-American Lyft driver from San Diego who passionately attacked the racism of Republicans, then switched to passionately defending Bolsonaro.

If I were Thomas Friedman, I could tell you what this means.

Met a Haitian-American in a restaurant who said he'd always vote for Democrats because of the immigration issue, but that he has conservative beliefs too. "I don't want to pay for someone's abortion!", he declared.

Met a Latino Lyft driver from San Jose who said that while he was liberal, California was getting too liberal for him and he was considering moving to San Antonio.

Again, not being Tom Friedman, I am unable to offer any commentary on the political and policy implications of these conversations.

I guess my only thought is that political opinions are pretty complex and multidimensional, out there in the real world.

(end)

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.