#Commodities #Metal

Listing out the shares in metal pack where we can ride the commodity cycle even from the CMP

Will be posting long term charts here

Share and like for max reach 😊🖖

WHEN GH0RI TOOK TO HIS HEELS WHILST FIGHTING A HINDU QUEEN

THE BATTLE OF KASAHRADA (Kayadara)
1178 AD

Strategy! Bravado! Glory!

(Thread)

The narrative set by left historians about one of their favorite poster boys "Gh0ri" is that he went unchallenged upon entering the Indian subcontinent with one king falling after another.(1)

They conveniently deleted this event. Why? An agenda aimed at making us feel weak and inferior against the invaders in an attempt to glorify them. Simple strategy: To destroy a civilization tamper their history.(2)

Gh0ri defeated Prithviraj Chauhan at the 2nd Battle of Tarain in 1192 and laid the foundation of Delhi Sultanate. What is not well known is the fact that 14 years before he won this battle, he was defeated by the queen of Gujarat "Naiki Devi"!(3)

In 1173 Md Gh0ri had conquered the Ghaznavids in Afghanistan. A ruthless, persistent and deceptive Gh0ri was successful in conducting massive raids deep inside Indian territory.(4)

So, today, for the first time in 25 (!) years of Apple, I downgraded. From the 2016 MacBook Pro to my 2013, which I had kept in a drawer...

It was pretty simple to do—Apple Time Machine backups let me do it with one click.

That first tweet captures, in two pictures, how badly Apple has “lost the plot” (to quote @wylieprof). On the right is the Apple MagSafe adapter, from 2013. On the left, what I had “upgraded” to.

Thanks, Apple! I really was nostalgic for worrying about yanking my computer off the table.

Oh and I really appreciated not knowing if my computer was charging. What was great was the little whoop sound you used, so that the speaker before me could be informed I was charging my laptop.

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.