1/ Recently, I learned about the concept of ‘struggle porn’. This refers to the fetish of sacrificing nearly everything (health, relationships, time) for your startup. I fear that this label is creating more harm than good.

THREAD:

80 Films with the biggest Plot Twists that will blow your mind.

1. Fight Club

2. Predestination

3. Seven

4. Requiem for a Dream

STORY OF PURANAS AND SUB PURANA (उप पुराण).

We have already gone through the series on importance & characteristics of all the eighteen Purans. We also know that originally there were hundred crore shlokas but were divided by Vyas in each Kalp and was compiled as eighteen Purans

for the common people to understand it properly and now their total is about four lakhs.

In Brahm Puran, Brahma preached this to Marichi. So this Puran of ten thousand shlokas is called Brahm Puran.

In Padma Puran, the base of the story is the appearance of Brahma on a lotus(Padm) from Vishnu' s navel.This has fifty five thousand shlokas.

Vishnu Puran is primarily based in Varah kalp. This book is on Vishnu and this book has twenty three thousand shlokas.

Vaayu Puran is written in Shwet Kalp and has twenty four thousand shlokas. Here Vayudev preaches about Dharma.

In Bhagwat Puran, which is written with the base of Gayatri mantra describes Dharma extensively. It has 18000 shlokas. It also mentions the story of Vritrasur.

In Narad Puran, which has twenty five thousand shlokas, is a sermon on Dharma by Narad based in Brihad Kalp.

Markandeya Puran has nine thousand shlokas and here it is through the birds that Dharma is described.

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.

1/OK, I should really write another thread about university-centric regional development, because I think people often make some (very understandable) mistakes when thinking about this issue.

2/The biggest myth, I think, is that universities help regions by educating locals as undergraduates.

Skeptics of universities say: "But most of the people who graduate end up leaving."

3/In fact, most of what a university does for a regional economy is NOT about educating local kids.

Educating local kids is good for the nation, but doesn't help a region much.

The way a university helps a region is through

4/Undergraduates usually leave town after graduation.

But university RESEARCH pulls in OTHER smart people from other regions, and they stay there.

Here's a paper showing that this is the main way universities increase a region's human capital:

5/Research also pulls in business investment.

Companies want to partner with university labs, so they can commercialize the technologies the labs produce. So they invest in the labs, and sometimes they even put their offices in the town.