#RELIANCE

The failure of the price to move past the previous high resulted in a fall back towards the lower band.

The structure looks weak and might hit 2370 initially which coincides with the channel bottom.

Thereafter, if the pivot gets taken out, Might hit Point D.

Choosing the Right JavaScript Framework

Thanks for joining me @pluralsight to talk about javascript frameworks. We had 150+ awesome questions, so I'll try to answer the ones I couldn't get to online right here in a tweet stream

Watch the video -->
https://t.co/G7zeiKhXme

Q. Do arrow functions really make dealing with JavaScript's "this" keywords easier?

A. Yes! When using arrow functions, the scope of "this" is effectively passed in from the outer scope. See here in this REPL

1/n

Q. Where does Polymer fit in? Is it considered a framework like the others?

A. @Polymer is an excellent way to create web components, which are ideal for creating sets of interactivity that can be shared in web apps.

2/n

Q. Have we gone framework crazy?

A. At one time, quite possibly. A few years back we literally had framework overload. I feel it really has solidified into a few very strong choices.

3/n

Q. [Is] there no more need for @polymer?

A. See my previous question on this ... but in general, I think there is a lot of room for Web Components with frameworks.

4/n

They’re shooting into the chamber.

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.

Guruvayur Sri Krishna & Coconut with Horns.
#Krishnaleela
#Bhakthi
🕉
We’ve all grown up listening to stories of Shri Krishna. This one is a famous story of Shri Krishna in Guruvayur Temple, also called Dakshina Dwaraka.

There lived a villager who planted coconut saplings and had promised that he would offer the 'first coconut' from each of his coconut trees to "Guruvayurappan". When the trees started to yield coconuts, he collected the first coconut from all the trees in a sack 👇

and set forth to Guruvayur.

On the way he was stopped by a robber who asked all the items in the sack. The villager told the robber that the coconuts in the sack belonged to Guruvayurappan and so he was unable to hand it over.
@SriramKannan77 @Jayalko1

The robber with anger asked the villager "Is Guruvaurappan's coconut any different? Does it have horns ?".
Saying so the robber pulled the sack forcefully out of the villager's hand, and coconuts came out..👇

To their astonishment each and every coconut in the sack had horns! Even today, the coconut with horns are displayed in the temple for devotees to see.

Below Picture is not original, as we cannot take photos inside temple.
Hare Krishna
Guruvayurappa
🕉🕉🕉🕉🕉
Shubham

In 1937, a trucker got frustrated waiting for his cargo to be unloaded. He later sold his company for $1.1 billion.

Here’s the story of how Malcom McLean made a billion dollars and which startup could be following in his footsteps. (Inspired by our episode with @laurabehrenswu)

In the early 1950s, the shipping industry was a dying business.

New York’s docks were handling half as much domestic cargo in the early 1950s as they had been in the depressed 1930s.

In thirty years, no one had invested significant money in coastal shipping.

Why?

As McLean found out, loading ships was difficult and slow.

A truck or train would deliver items to the port. Each item was unloaded separately, recorded, and carried to storage.

When a ship was ready, each item was taken from storage, counted again, and hauled on-board.

The cost of this labor was significant. As one expert at the time explained:

“A four-thousand-mile voyage for a shipment might consume 50 percent of its costs in covering just the two ten-mile movements through two ports.”

Yet, despite the industry’s issues, it felt little pressure to change.

Foreigners were barred from operating domestically. Cartels ran international routes. And gov. subsidies eased the pain of labor costs.

Reshaping the industry needed an outsider.

Enter Malcolm McLean.