#FreeTip
If there are multiple pivot confluences, it is a strong zone and should never be ignored as there is a high possibility of a very significant activity around the zone.
Today's activity is an example. Historically can find similar concepts with varying pivots...

Shri Hanuman had boon to be immortal. And be present where ever there is Ram stuti.
I came across this beautiful story that I would like to share
#threadstories
#Hanuman ji is believed to live in the foothills of Himalayas. But once he spent a lot of time in Sri Lanka
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Where Ravan's brother ruled for many years..
On his way back he came across tribal people from community called #Mathanga
He gave Darshan to them. The chief of the tribe asked him to keep coming back to guide their generations
Hanuman ji said that whoever recites this mantra
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I will give them Darshan. But there are two conditions
1st he/she must know his relationship with me
2nd there must not be anyone around him in 950 mts radius. If present, that person must also know about my relationship with him /her.

He promised to come after every 41 yrs
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The Mathangs also maintain a ‘logbook’ where they record all the words spoken and ‘leelas’ performed by Lord Hanuman.
They call him their Guru
Who teaches them how to live their lives.
A Sri Lankan organization called Setuu is studying this ‘logbook’ and also conduct
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programmes for Hanuman devotees who can do ‘Sadhna‘ under the guidance of Setuu masters. Devotees who qualify all the criteria will be eligible for Hanuman’s ‘sakshaat darshan‘
The Setuu has certain conditions that need to be kept in mind which includes devoting one complete
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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.