CDSL coming along nicely :)

Wouldn't be surprised if we see 1470 soon https://t.co/rWD4ZCZFeC

'Tera mera rishta kya, hindu, hindu,hindutva' is a clear take on 'tera mera rishta kya,la ilaha illallah'. As much as Hindutva hates the monotheistic religions especially Islam, there's a strange wistfulness and subliminal need at display now, to BE that they hate. 1

Charlie Hebdo doesn’t come up as a cautionary tale now but rather 'why cant we be like that'?
Growing up, Hanuman was an adorable deity for us, who swallowed the sun, or who couldn’t figure out what was Sanjeevani booti so he picked up a whole mountain and came back with it. 2

Or he was loyal, admirable and when he cleaved his chest, you saw both Ram and Sita. Now we have a lot of “Angry Hanuman” stickers. Why is a cute childlike God angry? We don’t know. It's a convenient blank space where to paint all the angst of Hindu Khatre mein hain narrative. 3

The other strange thing that has started happening is pictures of Ram appearing sans Sita. “Jai Siya Ram” has become “Jai Shri Ram”. Some people disingenuously explain it as being the same thing - because Shri is a name of Lakshmi. Not really. Siya is an apbhransh of Sita. 4

Shri is a prefix of respect in this case. Hinduism is being militarised. A woman/Sita has no place in it. Even the militaristic Goddess that is Durga has no place in this conception of neo-Hindu divinity, as evidenced by Dilip Mandal wondering where Durga came from. 5

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.

Most software founders, particularly in B2B, need to get radically better at sales. @Steli , who is the best person for explaining the scrappy stages in the beginning and then building out a team with scripts and processes, wrote a guide to:

For technical founders it is irrationally, obscenely hard to reverse years of programming (ba dum bum) that sales is a value-destroying activity. Sales is CLEARLY a value-creating activity, contingent on you have a value-creating product.

The world will not drop what they are doing to adopt your work. This is particularly true in B2B, where simply building a better mousetrap won't overcome the activation energy required to get people with additional non-mice problems to prioritize changing mousetraps today.

This is very non-obvious for founders because founders are not often people who *want* to be sold to. We often come from a background where trying out tools is a bit of a fun hobby. We like looking at all the options, making charts, and ripping out partially complete tests.

"This week I unsuccessfully trialed four software options for automating that thing that has been killing us. Our actual production process remains the same as last week. Don't worry; this was a great use of time." is not a thing you want to write in a progress report to manager.