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Benefits of writing SRI RAMA Jayam!!!

Writing Sri Rama Jayam is known as Likitha Japam- Writing Meditation. This gives one a complete sense of surrender to an inner conscience and peace while writing or chanting the mantras.

#Sri_Rama_Jayam #RamaNavami

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You can write this in any language of your choice. It is the connecting chords with the divine and your inner self.

Below are some points that we came across on the benefits :

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1. Vedas tell that as the sun dispels the darkness, the chanting of Rama Nama dispels all evil and obstacles of life. It is a way of liberation and salvation of human suffering.

2. When you think, that all roads are blocked to walk away from day to day problems..

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writing ‘Sri Ram Ram Ram’ gives you the most needed clarity of thoughts to find away out of odd situations.

3. It was told that a calmness engulfs as one indulges in writing the Sri Rama Jayam bringing in more clarity of mind, tolerance & strength to withstand obstacles in life.

4. Devotion of service of life and its varied forms is devotion to God. So there is no right or wrong way of writing this. The very thought and process to write is a connection with god and finds a inner meaning.

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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.

Trump on climate: I don't believe it. Trump on Khashoggi: I don't believe it. Trump on Russia: I don't believe it. Idiocy? A canny game? Doesn't really matter as much as the underlying intellectual autocracy. In this administration only one opinion matters.

It's an assault on facts and reason. It's an assault on good governance. It's an assault on the bureaucracies that are being discounted. It's an assault on science and history. But it is also an assault on one of the underpinnings of democracy.

We live in a system that is grounded on the idea of collaborative government. Leaders may have a final word but even then, there are typically checks and balances. Hopefully, in this case, such checks and balances may work. But they also are being tested.

The president's position that he is smarter than all the world's scientists, than the entire intelligence community, than experts who have studied any issue all their lives, is, of course, asinine. But his belief that government turns solely on his opinion, is monarchic.

Louis XIV reportedly said, "L'etat est moi." That he was the state. Trump asserting that he knows better than all, discounts all advice, that his brain is enough to chart the course for America alone, is essentially saying the same thing.