I’m clearly feeling slightly better as I’ve just spent a good ten minutes being furious about all the wrong trifles on the internet.
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#bkdk sfw, drabble
-🍛
"Suprise, Kacchan!"
Izuku happily wiggles, hopping from one foot to the other like an excitable toddler, despite the fact that he's 6 foot something and a venerable powerhouse of a pro hero.
In his hand is a plate of… something… messy from each edge.
There's a message written on top in some sort of sauce, but the sauce had gotten absorbed in the rice. The mishmashed mush of vegetables (?) kind of looked like something you would pull out of a shower drain.
But the meat looks good? Browned chicken, maybe a little overspiced.
"The hell's this?"
"I made you dinner!" Izuku ushers Katsuki towards the dining table, hardly letting him take off his jacket first.
As soon as Katsuki sits, a napkin gets shoved in his lap as if they're at a fancy restaurant. Izuku becomes a whirlwind, flitting this way
and that in their home until there are a number of candles lit.
It would make the ambiance more romantic if it wasn't still daylight outside. It was closer to lunchtime than dinner, but Katsuki would let him have this.
He, instead, stares down at [the meal] and carefully schools his features. He isn't sure if he looks deadpan or intrigued like he means to, because as soon as he looks close, the veggies /jump/ on the plate, bubbling like they're still boiling.
-🍛
"Suprise, Kacchan!"
Izuku happily wiggles, hopping from one foot to the other like an excitable toddler, despite the fact that he's 6 foot something and a venerable powerhouse of a pro hero.
In his hand is a plate of… something… messy from each edge.
uwu Katsuki forcing himself to eat Deku's shitty meals \U0001f91f\U0001f62b and not telling the other that it sucks
— \U0001f4a5\U0001f966CHUBBY DEKU CONNOISEUR\U0001f966\U0001f4a5 (@WeebTrash04) January 9, 2021
There's a message written on top in some sort of sauce, but the sauce had gotten absorbed in the rice. The mishmashed mush of vegetables (?) kind of looked like something you would pull out of a shower drain.
But the meat looks good? Browned chicken, maybe a little overspiced.
"The hell's this?"
"I made you dinner!" Izuku ushers Katsuki towards the dining table, hardly letting him take off his jacket first.
As soon as Katsuki sits, a napkin gets shoved in his lap as if they're at a fancy restaurant. Izuku becomes a whirlwind, flitting this way
and that in their home until there are a number of candles lit.
It would make the ambiance more romantic if it wasn't still daylight outside. It was closer to lunchtime than dinner, but Katsuki would let him have this.
He, instead, stares down at [the meal] and carefully schools his features. He isn't sure if he looks deadpan or intrigued like he means to, because as soon as he looks close, the veggies /jump/ on the plate, bubbling like they're still boiling.
Friends. I would like to share my favorite food and drink discoveries from last year, many of which only came about because of the pandemic. Restaurants demonstrated their resilience and creativity month after month. Crappy photos courtesy of my phone. Long thread alert:
.@TheGreenZoneDC still serves some of the most interesting cocktails in D.C. To get them delivered, you have to purchase one food item. That's how I continued to fall in love with their muhammara (red pepper, walnut, and breadcrumb dip with pomegranate). https://t.co/22lf4iRjib
.@SUSHITARO_DC shelled out for great to-go packaging worthy of what's inside. Like this tuna-only chirashi (tekka chirashi). https://t.co/U51mtcFWIn
.@BombayClubDC is becoming one of D.C.'s longest tenured restaurants. When you're really hungry and craving Indian, try their dinner tiffin with tandoori salmon, lasooni palak, dal makhani, lemon cashew rice, and naan. The lentils are so rich and smoky. https://t.co/r6GxIW64sJ
Whenever we celebrated a special occasion with a pair of friends in the backyard, we ordered a paella feast for four from @jaleo. Comes w/ a paella of choice, gazpacho, salad, bread, tortilla Española, and flan. You can keep the paella pan! https://t.co/LTnSBUi4nN
.@TheGreenZoneDC still serves some of the most interesting cocktails in D.C. To get them delivered, you have to purchase one food item. That's how I continued to fall in love with their muhammara (red pepper, walnut, and breadcrumb dip with pomegranate). https://t.co/22lf4iRjib
.@SUSHITARO_DC shelled out for great to-go packaging worthy of what's inside. Like this tuna-only chirashi (tekka chirashi). https://t.co/U51mtcFWIn
.@BombayClubDC is becoming one of D.C.'s longest tenured restaurants. When you're really hungry and craving Indian, try their dinner tiffin with tandoori salmon, lasooni palak, dal makhani, lemon cashew rice, and naan. The lentils are so rich and smoky. https://t.co/r6GxIW64sJ
Whenever we celebrated a special occasion with a pair of friends in the backyard, we ordered a paella feast for four from @jaleo. Comes w/ a paella of choice, gazpacho, salad, bread, tortilla Española, and flan. You can keep the paella pan! https://t.co/LTnSBUi4nN
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Nano Course On Python For Trading
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
1/ Some initial thoughts on personal moats:
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
I'm increasingly interested in the idea of "personal moats" in the context of careers.
— Erik Torenberg (@eriktorenberg) November 22, 2018
Moats should be:
- Hard to learn and hard to do (but perhaps easier for you)
- Skills that are rare and valuable
- Legible
- Compounding over time
- Unique to your own talents & interests https://t.co/bB3k1YcH5b
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
People talk about \u201cpassive income\u201d a lot but not about \u201cpassive social capital\u201d or \u201cpassive networking\u201d or \u201cpassive knowledge gaining\u201d but that\u2019s what you can architect if you have a thing and it grows over time without intensive constant effort to sustain it
— Andrew Chen (@andrewchen) November 22, 2018
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
Things that look like moats but likely aren\u2019t or may fade:
— Erik Torenberg (@eriktorenberg) November 22, 2018
- Proprietary networks
- Being something other than one of the best at any tournament style-game
- Many "awards"
- Twitter followers or general reach without "respect"
- Anything that depends on information asymmetry https://t.co/abjxesVIh9
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.