Attention MAGA faithful ... your king, @realDonaldTrump, has only been tolerated by Republicans because he has what Grover Norquist in 2012 called "enough working digits" to sign tax cuts for the super-rich, deregulation for polluters, and to nominate Federalist Society judges.

KANIPAKAM VINAYAKA, CHITOOR (AP)
#bharatmandir

Kani means wetland and Pakam means flow of water into wetland.
Kanipakam Vinayaka is swayambhu (self-manifested). The murti is in a well which is always full of water.

Once, there were three brothers. Each one had a handicap- Dumb, Deaf and Blind. They had a small piece of land for livelihood. For their field, they drew water from a well. One day, they found that the well had dried up so one of them started digging in the well.

His tool hit something and blood oozed out. They found a swayambhu murti of Ganesha here.
Villagers started offering coconut water which overflew into a channel. Hence the name Kanipakam.

The murti is still growing in size. At present, we see the knees and the abdomen only. The Kavacham (Armour) offered to Vinayaka 50 years ago doesn’t fit today.
Vinayaka is believed to be the upholder of truth. So people come here and swear before him to prove their innocence.

In 1937, a trucker got frustrated waiting for his cargo to be unloaded. He later sold his company for $1.1 billion.

Here’s the story of how Malcom McLean made a billion dollars and which startup could be following in his footsteps. (Inspired by our episode with @laurabehrenswu)

In the early 1950s, the shipping industry was a dying business.

New York’s docks were handling half as much domestic cargo in the early 1950s as they had been in the depressed 1930s.

In thirty years, no one had invested significant money in coastal shipping.

Why?

As McLean found out, loading ships was difficult and slow.

A truck or train would deliver items to the port. Each item was unloaded separately, recorded, and carried to storage.

When a ship was ready, each item was taken from storage, counted again, and hauled on-board.

The cost of this labor was significant. As one expert at the time explained:

“A four-thousand-mile voyage for a shipment might consume 50 percent of its costs in covering just the two ten-mile movements through two ports.”

Yet, despite the industry’s issues, it felt little pressure to change.

Foreigners were barred from operating domestically. Cartels ran international routes. And gov. subsidies eased the pain of labor costs.

Reshaping the industry needed an outsider.

Enter Malcolm McLean.

Thread: History of Mogadishu and it’s conquest by Imaam Al Yaqubi

One of the First Imaams of the Hiraab Imamate was Mohamed Ibn Imaam Ahmed ibn Imam Ahmed Ibn Imaam Mohamoud Ibn Imaam Cumar Halol Al Yacquubi (Abgaal) during the year 1097 hijri.

After the collapse of the Ajuuran Abgaal nomads from the interior had started moving to take over the strategic port town of Mogadishu which was then under the muzzafar dynasty. By the 1600s Abgaal warriors had captured the city and set up their base in shingaani.

Mogadishu at the time was a large and well known port town. The Abgaal clan taking over control allowed them to obtain political power and world wide recognition.

Under Imaam Yaqubi’s time in power it’s reported that French merchants had arrived at the port in 1701
and stayed for 11 days. They had attempted to take the city but were successfully repulsed.

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.