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Some people really benefit from hearing advice that everyone knows, for the same reason we keep schools open despite every subject in them having been taught before.

In that spirit, here's some quick Things Many People Find Too Obvious To Have Told You Already.

Your idea is not valuable, at all. All value is in the execution. You think you are an exception; you are not. You should not insist on an NDA to talk about it; nobody serious will engage in contract review over an idea, and this will mark you as clueless.

Technologists tend to severely underestimate the difficulty and expense of creating software, especially at companies which do not have fully staffed industry leading engineering teams ("because software is so easy there, amirite guys?")

Charge more. Charge more still. Go on.

The press is a lossy and biased compression of events in the actual world, and is singularly consumed with its own rituals, status games, and incentives. The news necessarily fails to capture almost everything which happened yesterday. What it says is important usually isn't.

Companies find it incredibly hard to reliably staff positions with hard-working generalists who operate autonomously and have high risk tolerances. This is not the modal employee, including at places which are justifiably proud of the skill/diligence/etc of their employees.

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.

A #story from #Thiruvilayadal puranam- one of divine leelas of Bhagwan Shiva

#threadseries #madurai

Koodal Kaandam

Story 21 - it is about how stone elephant came to life and ate sugarcane - When Raja Abhisheka Pandyan met Ellam Valla Siddhar

கல்யானைக்கு கரும்பருத்திய படலம்

Raja Abhisheka Pandiyan went ahead to meet Ellam Valla Siddhar on the premises of the temple.On seeing the arrival of Raja, people surrounding Siddhar moved back. Abhisheka Pandiyan introduced himself to Siddhar &asked about his whereabouts.Also his purpose of visit to Madurai.

Raja asked why he performed magical acts, does he expect anything from him or people of Madurai.

Siddhar laughed & replied to Raja that he was from Kasi. He had heard a lot about Madurai in Kashi.Also told that this place is a Mukti Kshetram,so he had come to stay here.

Siddhar asked Raja if he has the capability &power to give anything that he asks for. Siddhar told King that he has power to do things even if he think of it.Siddhar asked King to ask whatever he wants & it would be provided, whatever these people had asked, they were granted.

Abhisheka Pandyan was shocked to receive such a reply from Siddhar,& he decided to test the power of this Siddhar. By that time, Raja saw a person in crowd having Sugarcane.

Raja took Sugarcane from that person.