How to become a beast in your 20's

// A THREAD //

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.

1 of 16: WE ARE ALL JEWS HERE: THE STORY OF RODDIE EDMONDS

One of the most moving and relevant stories of the Battle of the Bulge, or any American Soldier in any war, is that of Master Sergeant Roddie Edmonds, a Knoxville, Tennessee native, who served with the 106th Infantry.

2 of 16:

Roddie was captured early on in the Battle of the Bulge, on December 19th, when Panzer forces plowed through his unit.

He, along with almost his entire regiment, was forced to surrender.

3 of 16:

The men were transported to the Stalag IX-A POW camp in Ziegenhain, Germany.

Roddie was the senior enlisted American Soldier at the site. As such, he was the conduit between all American Soldiers and their German captors.

4 of 16:

In late January, the camp’s commandant, Major Siegmann [pictured here], ordered Roddie, a Christian, to identify all Jewish Soldiers and order them to stand in formation by themselves the next day.

[Jewish Soldiers were a minority within American units]

5 of 16:

Throughout WWII, captured Jewish Soldiers were often tortured and then killed by their German captors.

In fact, Jewish Soldiers had been told to bury their dog tags before capture. The dog tag identified Jews with the letter “H” for Hebrew.

The 2018 State of JavaScript survey is out. They got 20,000 responses and have some delicious, delicious data. I'mma thread in some highlights:

First up: JavaScript flavors. There's TypeScript at 47% adoption, a tad higher than npm's own survey results (which said 46%). npm's survey is coming up again soon and will ask about TypeScript in a lot more detail.

I really, *really* like SoJ's "would not use again" question, which lets people who've abandoned a tech self-identify. This is noticeable in the graph above with Flow users -- 41% of people who've used Flow say they wouldn't use it again.

Now JavaScript frameworks. It's been a full year since npm's survey, so these numbers differ from ours in the directions I expected:
React 65% (vs. 60%)
Vue 29% (vs. 24%)
Ember 5% (vs 4%, I was expecting a bigger rise)

But there's a shocker in here: Angular.

npm's survey had Angular at 40% last year and SoJ has it at either:
- 58% (if you include those who don't want to use it again)
- 24% (if you count only those who like it)
Since npm's question didn't ask if they intend to *continue* using it I think that might explain this.

Due to the pandemic you may not have visited your local library in a while. So come with me on a virtual library tour, courtesy of stock photography, to see what we do for a living...

Libraries are of course information resource centres, but in many ways they are so much more. To get the best out of them you need to really know your way around the stacks.

The enquiries desk is normally your first stop in a library, and this is where you will meet The Angry Librarian! Why is she angry? Because you keep asking her stupid questions!

"Are you open?"
"Do you have a toilet?"
"That chair's wobbly!"
"Why isn't it available in audiobook?"
"Someone else is on the computer and that's not fair!"

On and on it goes...

And that's why in the library we insist on silence. It's the only way to stop us swearing at all the idiotic things you ask us. And we've looked up a lot of old swear words: beardsplitter, bescumber, rantallion, smellfungus etc. We're such muckspouts...

Here is the detailed information of about strategy,

Entry time : 9.30 - 10
Exit : Upto you

Strategy :
Sell weekly ATM CE & PE at almost equal price
For ex : Sell Nifty 17250 CE at 50 and Nifty 17250 PE at 48 so it will become short straddle

Buy monthly ATM or near ATM CE & PE at matching price (5-10 points diff should be fine) as hedge
For ex : Buy Nifty 17250 CE at 150 and Nifty 17300 PE at 155 so it will become long straddle.

Weekly Short straddle + Monthly Long straddle

Adjustment:

• If you feel slightly bullish/bearish then no adjustment needed
• If Nifty moves 50 up or down and sustain then just simply roll up or down half of qnty and keep rest of the quantity. If market goes up or down further then roll up or down rest.

• If Nifty moves one side or about to breach BEP then add equal amount of lot. This can balance tested side. For ex: If I bought 17300 CE 4 lot as hedge then add 4 lot so you will have only one side risk . Note: Remember to keep SL at cost price (only for additional lot bought)

Capital requirement:
2.2 L for 4 lot
Adjustment requires additional capital upto 1L

Note : High risk high reward strategy, please don’t execute until you fully understand. Kindly do paper trading or backtest.
RR : 1:1
POP : 45-55%