@punitbansal14 Nice VCP set up, tight build-up near resistance giving hope for another big rally. My short term target is 920. We can see #ingrevia in 4 digit candidate shortly.

🕵️‍♂️ How Google's PageRank algorithm works

The PageRank algorithm gives each page a rating of its
importance, which is a recursively defined measure of importance, based on if important pages link to it.
It's recursive because the importance of a page refers back to the importance of other pages that link to it

Here's how it works in practice:
1⃣ We start with some pages and crawl them for links

2⃣ Each page has 1/N points (where N as the total number of pages)

3⃣ Add points to each page for the amount of links to it, divided by the number
of links emanating from the sources of these links

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.

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
🙏🕉🙏

Again sharing bank nifty intraday weekly straddle. How to play by selling straddle.
Mostly will work on Monday to Wednesday. Sometimes on Friday.
Why to pay your money to learn this if u can get it here.
U need only practice.
Let’s go.

Say bank nifty future is at 32000.
Sell both 32000 call and put.
Considering current volatile market lest say premium on Monday morning is 350 on both sides.
Sold with 700 points combine premium.
If bank nifty will trade in narrow range say +\- 100 hold it.
If moving 200 points

then exit previous sold straddle. Sell new one. Let’s say BN moved +200
Now sell 32200. If bank nifty will move here within range then u will get profit through theta decay. Follow same procedure for next 150-200 pts move.

This is only for single straddle sell position.

Now in second case sell three straddle. 31900/32000/32100
In case of 100 points move no need to change.
If 200 + then future is 32200.
Exit 31900 and sell 31200 straddle.
If moving another 100 then exit 32000 and sell 32300. Continue same with 100 points move.
If no move then

it will consolidate between 32000-32200 or 32100 to 32300 and u will get theta decay.

This is for normal move. Sudden big move may come anytime. So keep SL in system.
If u r selling at 350-350 then keep SL in system 475 for both legs.
Practice it. No need to attend webinar.

Ｇａｕ Ｍａｔａ Ｉｎ Ｖｅｄｉｃ
Ｃｕｌｔｕｒｅ

It is said that the one who bears the dust thrown from the hoof of Gaumata on his head, as if taking a bath in the water of the teerth sthalam and getting rid of all sins.

Ved and all other Hindu scriptures venerate the cow. The Vedic dictionary, Nighantu, gives amongst other synonyms of 'Gau' [ or cow] the words 'Aghnya', 'Ahi', and 'Aditi'.

Yaska the vedic decoder and commentator on Nighantu, defines these as-

Aghnya —— the one that ought not to be killed
Ahi —— the one that must not be slaughtered.
Aditi —— the one that ought not to be cut into pieces.

These three names of cow signify that this is an animal which should not to be put to tortures. These words appear frequently throughout the Veda in context of the cow.

But in due course the falsehood of killing cows spread far and wide and they became even more deep rooted when western scholars with their half baked knowledge of Sanskrit transliterated these interpretations of commentaries of Sayanacharya ,