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4000 !!??

Cherthala Karthyayani Kshetram
#Alappuzha, Kerala
#KeralaTemples 🚩

Cherthala Karthyayani Temple Prathishta was done by Vilwamangalam Swamy. Chertala Pooram is very famous. Devi is Mangalya Dayini here removes obstacles relating to marriages. Sthala Puranam says that, once 👇

Vilwamangalam Swamiyar was passing this area after Prathista of Padmananbhaswamy Temple, he felt Devi chaitanyam and recognized as Karthyayani Devi. But Devi seeing Vilwamangalam went inside the pond. Swamy searched for Devi continously for 6 days and on 7th day Vilwamangalam

got hold of Devi's hair. Thus only Devi's head is Prathishta here. Devotees do Kozhi parathal ( offering cock) here as an offering to Karthyayani Devi.

Karthyayaniamme Sharanam
🙏🕉🙏

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.