Wait … so … how much worse could the pandemic response and unprecedented death rate get?

How much farther shall our economy crater?

I wonder what it will feel like to get better.

WHO ARE VALAKHILYAS?

Valakhilyas are 60000 Rishis who are thumb-sized. They were born to Kratu and Kriya. Rig Veda says that they sprang from the hairs of Brahma.
They move in front of Surya dev’s chariot as Sun moves daily and
shine like brilliant lights due to severe tapasya.

Tamil literature says that the main task of Valakhilyas is to prevent human beings from being scorched. They absorb the excess heat from the sun by travelling in front of him. They, in turn, get energy from Skanda and Ma Durga. The food of Valakhilyas is only wind.
@SriRamya21

Once, Rishi Kashyap performed a yagna and invited all the Devas and Rishis to help him. Indra brought a whole mountain of trees for firewood. The Valakhilyas were hardly able to lift anything but leaves. Even when they were moving leaves, they fell into rain water puddles.

Indra made fun of them. So they cursed Indra saying that his slayer would be born as the son of Kashyapa. When Indra apologized, they modified the curse that the son shall be initially an enemy of Indra, but later will become his friend.

This son born later to Kashyapa was Garuda. He flew to Indraloka to get Amrita and defeated Indra.
Later, he restored amrit vessel to Indra and was honoured as the King of birds and as the mount of Sri Vishnu.
@JumbuTweeple @artist_rama

The best way to know if people like your product is NOT:

- Have a lot of emails in the waiting list
- Become #1 on PH
- Become #1 of HN or Reddit
- Have people that saing "I'll pay"
- Have a lot of free users

The best way to know if they're actually pay for it.

The only thing that matters is your product providing a value, and you can't know this until people will pay money for it.

We can have a first signal of a product/market fit after the launch by check how many sales we've got in the first 24h. Some scale:

200+ This has a high potential.
100+: This has a potential.
50+: Some people need it.
10+: People almost don't need it.
0+: People don't need it.

This is for a single time payment product. For a subscription probably it should be less because people hate subscription.

And obviously, you should have a lot of traffic like 3-5k+.

Here is a stat for my products (macOS apps) for the first 24h after the launch:

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.

1. I was walking in the woods yesterday and I had an epiphany. It wasn’t one I wanted to have. I was thinking about today’s class, where we are reading Kimmerer’s ‘Gathering Moss’. I’ve taught Braiding Sweetgrass in multiple classes every year since 2016. It’s eminently teachable

2. Both books are beautifully written. Students uniformly enjoy them as assigned reading. They do a great job communicating to non-Indigenous folks the contours of basic Indigenous relationships to more-than-human beings. They’re wildly popular with white readers.

3. I’ve found Braiding Sweetgrass to be a great entry point for non-Indigenous folks to Indigenous scholarship. But this is where yesterday’s epiphany comes in. Neither Braiding Sweetgrass or Gathering Moss tends to the deep deep lineages of Indigenous scholarship in Canada or US

4. As the popularity of ‘Braiding Sweetgrass’ has soared, I’ve seen more and more white folks wax on about ‘braiding knowledge’. But they often don’t know any of the lineages of these concepts beyond what is presented in this one book. They confidently run with this.

5. Kimmerer does a commendable job of weaving in her own experiences, her family stories+nods to some very important knowledge keepers who deserve to be celebrated for their work. But Braiding Sweetgrass does not tend to the citational politics Sara Ahmed & others teach us about

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.