Prince Pipes - a major H&S top in formation on a weekly scale. the breakdown should be with a strong candle closing below 575 for the confirmation

MAHARAANI TARARANI: THE QUEEN OF MARATHAS

Rani Tarabai was the brave daughter-in-law of Chhatrapati Shivaji and one of the greatest medieval Monarchs India ever had.
She was born in 1675 to one of the bravest commander-in-chiefs of Shivaji's Army named Hambir Rao Mohite.

Tarabai was just 8yrs old when she was married to Shivaji's younger son, Rajaram. Mughals and Marathas were constantly at war with each other. Shivaji was crowned the ruler of the Independent Maratha Swarajya in 1674 which was established by him.

However,the great leader died in 1680&the Maratha Samrajya went into a complete&total chaos.Marathas saw some very tough times ahead. In 1689,when Raigad Fort fell to the Mughal Army of over 15000,Shivaji's first wife Saibai and his elder son Sambhaji were captured&put to death.

Sambhaji's wife and son Shahu were taken prisoners to the Mughal court. During the same battle, Shivaji's second son Rajaram(Tarabai's husband) , who was the heir to the throne now, managed to escape using a disguise. He made his way to the Gingee Fort in Tamil Nadu.

Mughal General Zulfikar Khan, however, followed them to Gingee laying siege to the Gingee Fort. From 1690-1698,This was the longest siege by a Mughal Army of any Fort which stands testimony to the military and diplomatic credentials of Rani Tarabai.

SRI KUMARIAMMAN, KANYAKUMARI (TN)
#bharatmandir #navratri2021

Created by Maharshi Parasurama and also one among the 108 Shakthi Peethas in the world. The name Kanyakumari stands for Kanya(Virgin) and Kumari(girl).
Devi took this form to vanquish the demon Banasura
@GunduHuDuGa

Once, Banasura(grand son of Mahabali) obtained a boon from Shiva that he could be vanquished only by a virgin.
So, Devi took the form of a kumari and started meditating with the desire to marry Shiva at Suchindram.
Pleased Shiva fixed the midnight hour for marriage with Devi.

Devarshi Narada knew that the marriage would end the chance of killing Banasura. So, he assumed the form of a cock and crowed. Shiva returned back to Suchindram thinking that it was dawn.
Angered, Devi cursed that all food and articles meant for wedding turn into sand and shells

When Banasura heard about Devi’s beauty, he tried to take her by force. Devi, then, killed him and granted the wish of Devas to remain there always protecting them.
The murti of Devi stands with a rosary in hand. Her diamond nose-ring is said to be visible even from the sea.

Once an ancient mariner mistook it for a lighthouse and sailing towards it, his ship wrecked upon the Kanya Kumari rocks. In order to prevent such a tragedy from happening again, the eastern door of the shrine is opened only on five special occasions throughout the year.

Beautiful story of Shri Krishna, Mata Rukmini & Satyabhama which teaches the importance of Bhakthi.
Devotion is important than anything.
#bhakthi
🕉
Satyabhama, royal princess was very proud of herself. Rukmini was very humble, her devotion was pure to Shri Krishna.

One day, Rishi Narada( Kalahapriya) arrived in Dwaraka and met Sathyabhama. In between the conversation he hinted that Krishna exhibits affection more to Rukmini than her. Worried Sathyabhama asked what can should be done to gain Krishna's undivided attention.
@SriramKannan77

Narada asked Satyabhama to make a vow, that she will hand over Krishna to him as a slave, if she cannot trade wealth equivalent to Krishna's weight. Narada thus convinces Sathyabhama that Krishna will admire her for sacrificing all her wealth for him.

Sathyabhama was sure that she have enough wealth to balance Krishna.

She went to Krishna and told about her vow to Narada. Krishna patiently listened to her and accepted the challenge. Satyabhama arranged to bring large scales to weigh and brought all her precious jewels.

Krishna patiently sat on one plate of the Scales (tula). Sathyabhama started piling up the gold, jewels on the other plate. She kept adding more and more wealth, but the pan with Krishna did not even budge. Even after keeping all her jewels the scale did not move a little

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.

Remember: Just because an idea is old doesn't mean it's good.

Knowing whether old ideas are more likely to be good requires understanding whether conditions have changed in important ways.

Horse archery was an amazing method of warfare for over a thousand years...then people invented guns, and suddenly this great idea that had stood the test of time became obsolete.

Then again, when underlying conditions don't change much, tried-and-true approaches are probably better.

"Learning the lessons of history" usually just means assuming ergodicity and stationarity in an informal time-series model...

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