Brazil sugar production down by 14% because of severe drought.India is the 2nd largest sugar producer followed by Brazil.
So a little postive news for sugar Comapnies based in India

According to psychologists, there are four types of intelligence:

- Intelligence Quotient (IQ)
- Emotional Quotient (EQ)
- Social Quotient (SQ)
- Adversity Quotient (AQ)

1. IQ is the measure of one's ability to comprehend, solve maths; memorize things & recall subject matters.

2. EQ is the measure of your ability to maintain peace with others; keep to time; be responsible; be honest; respect boundaries; be humble, genuine, and considerate.

3. SQ is the measure of one's ability to build a network of friends & maintain it over a long period of time.

4. AQ is the measure of your ability to go through a rough patch in life and come out without losing your mind. It is a new paradigm and can be used to determine who will give up in face of troubles and may abandon their families.

Now to the very interesting & analytical part👇

People that have higher EQ & SQ tend to go further in life than those with high IQ but low EQ &SQ.

Most schools capitalize on improving IQ level while EQ & SQ are played down.

A man of high IQ can end up being employed by a man of high EQ & SQ even though he has an average IQ.

Your EQ represents your character; your SQ represents your charisma. Give in to habits that will improve these three Qs but more especially your EQ and SQ.

EQ and SQ make one manage better than the other.

Try not only to have a higher IQ but also to have higher EQ and SQ.

Great seeing one of the fastest natural drivers of the last decade Robert Kubica today with @WilliamsRacing at @COTA #USGP #f1 #robertkubica #Poland #richenergy

EVOLUTION OF CROWNS

The ancient Indian kings called a head crown as a Mukut and it would mostly constitute of a golden ornamental headgear like an oval cap with gems.

Sometimes it would also include a halo circle to show the divinity of the king

1/7

As it was considered that kings were appointment by the gods themselves. Example the kings of mewar considered themselves to be the ‘Diwan of eklingji')

But in most cases very few Mukut with halo effect have been found.

2/7

Samudragupta in the gupta era coin. You can see the helmet like headwear on him.

Till gupta era the solid golden head wear was used in most days of the monarch.

But since the onset of 8th century it reduced in usage and was now used only as a ceremonial headwear.

3/7

Whereas earlier the Maharaja had to wear the mukut whenever his court was in session.

Still mukut was being used prominently for ceremonial activities till recent times.

Maharaj Dahir of Sindh👇

4/7

But as times past the style of headwear also changed.

The kings mostly wore turbans ordained with pearls and gems while rarely anyone wore a true Mukut after 16th century.

Portrait of Sri Krishna Dev Raya👇

5/7

1/ I am seeing more and more founder secondary in venture rounds (Secondary = founders selling some of their shares before some other shareholders are able). Series B-D. I see both as an investor and through entrepreneur circles.

2/ I like secondary for entrepreneurs. Moderation is key but in a lot of situations I think it helps accelerate the co. Lots of very smart investors disagree. Here are my thoughts.

3/ Magnitude: My basic rule of thumb from what I see is market is 4+ yrs and up to 10% of founder’s equity stake with some $ cap that makes sense given stage etc. (typically <$10m)

4/ The entrepreneurial journey is brutally hard. Giving some financial relief helps remove one piece of pressure. I don’t think that secondary in the magnitude mentioned impacts the drive/persistence of great entrepreneurs.

5/ That secondary means they will be able to just sleep knowing they can pay their kids’ tuition. Secondary will make most founders better at their jobs, thus accelerating the co.

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.