Circumstantial factors causing #NIFTY's resistance:

• Reverse retracement at 1.618

• NIFTY in USD terms reverse retracement at 1.382

• NIFTY in GSec at previous Highs

Hey, for people interested in this stuff, here's a thread about a change we made to running our facebook account:

So, about 5 years ago, we got on facebook. Why? Well, facebook has a big audience and they like to consume on facebook. So, we started posting comics there, even though we got paid nothing and facebook made money off the free content.

Why? Because back then, once in a while, you would say "also hey, I sell books" or "hey, I'm going to be signing at this event" and your facebook followers would actually see it.

Effectively, the implicit old arrangement was "facebook lets me reach readers efficiently, and I supply facebook with free content they run ads on."

Over time, like a bad business partner, facebook basically made it impossible to reach your audience without *paying them*. Thus, you supply them free content on which they run ads, and you get nothing in exchange.

Ok, it's high time to look at the REAL effects of Brexit. As the Tories implode & Labour sits on its hands, companies are executing contingency plans, shifting jobs & assets, slashing investments, or redomiciling (accounting exercise). Happening NOW, not in a fantasy future. 1/95

Barden Corporation is closing down its Plymouth factory after 51 years, putting 400 jobs at risk, as its parent company Schaeffler shifts production to various sites outside the UK due to Brexit.

8 health providers have warned of medicine shortages in the event of a no-deal Brexit: "we do not believe that the current medicine supply plans will suffice, and we will have widespread shortages if we do not respond urgently."

Pfizer - $100 million on Brexit prep: "Pfizer’s preparations are well advanced to make the changes necessary to meet EU legal requirements after the U.K. is no longer a member state, especially in the regulatory, manufacturing and supply chain areas."

The Government has spent £4.2 billion pounds on Brexit preparations (£2.2 billion in previous Budgets, plus an additional £2 billion in the most recent Budget.)

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.