#TataPower looks good for next rally with 118 as stop

@caniravkaria @option_square @Keerti_Optimist @chartmojo

Some thoughts on episode 54 of #Hercai

If you ever cross the distance and come to me, come with love that blooms in your heart.
~ Şems-i Tebrizi

#Reyyan #Miran #ReyMir #EbruŞahin #AkınAkınözü
#HercaiThoughts

1
I have to make a note before writing about this episode. I was the person (still am) who thinks that bringing back D. was a bad idea. I repeat it that for me the writing of S1 and S2 is like tossed into the bin with that plot evolution, but they had to invent something+
#Hercai

2
+ to be able to continue to prolong the general story after Aslan’s story did not work out. All the suffering of M., all the crying seems for “nothing” for two seasons and we viewers are also kind of fed up in seeing him cry all the time when with the upcoming episodes+
#Hercai

3
+he is justified the most to cry. With her resurrection now the attention shifts back to Miran’s storyline and I don’t know if I like this to be honest. This said, Dilsha is here and we have to deal with her.
#Hercai

4
So, my comments are going to be how I find they wrote her into the story, the details we get to know, the flashbacks we get to see, the way it was filmed and directed, with leaving out if I agree on it or not but describing along the way what I saw.
#Hercai

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

RISHI PINGALA:THE ANCIENT INDIAN SAGE DISCREDITED FOR HIS MAJOR CONTRIBUTIONS TO MATHEMATICS & PHI

Have you ever heard about,"The Golden Ratio"?
The Golden Ratio or Phi(Greek) is a mathematical ratio of nature. Mother Nature is the most exquisite artist in herself.

&Its this Phi she uses to create all the beauty in World.
If anyone uses this ratio correctly in their art,it can turn into a spell-binding piece of work.Such is the significance of'Phi'.But my thread isn't about it.Its about somethin called'Fibonacci Series'&who actually made it

Phi is related to Fibonacci series(0,1,1,2,3,5,8,13,21,34...)
&this series is responsible for everything dat is beautiful on this planet. Just try to calculate the ratio of any 2 successive numbers ÷ each of them by the number before it in above infinite series.

E.g. 3/2=1.5, 5/3=1.666, 8/5=1.6, 34/21=1.61904 and so on. Did you notice something? The ratio is coming almost same every time. This ratio is called 'Phi 'which is numerically represented as 1:1.618. This Golden Spiral is made in exact proportion of 1:1.618.

The thing I want to emphasize here is that we always find only those things appealing and attractive that have Phi. It's in our subconscious. Isn't it some revelation? We are the part of this Divine proportion of the God or the Mother Nature. Check these:

Great seeing one of the fastest natural drivers of the last decade Robert Kubica today with @WilliamsRacing at @COTA #USGP #f1 #robertkubica #Poland #richenergy

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.