BC LIFE
Saved by @CodyyyGardner

This is how I got three job offers as a 16-year-old high school student.

( and why I rejected them )
🧵👇

 June 2020.

I receive a DM from a college student in California. The message read something like this "Hey Pratham, I am one of the co-founders of XYZ Inc, a robotics company, we are looking to add enthusiastic people to our team, would you be interested?"

(2 / 11)
It was the first time I had ever been offered a job, so I said Yes! (I did reject it later)

There were a couple of interview rounds I had to go through. None of them included technical questions, which was interesting.

(3 / 11)
After the first interview, I saw the list of the roles I could apply for. I realized how little I knew, terms like "Ui/UX, ROS(Robot operating system)", at that time, I was overwhelmed.

(4 / 11)
I knew that this wasn't a job for me. I decided that I would reject this job role even if I cleared the second round, which I ended up doing.

(5 / 11)
August 2020

I had quite a bit of free time with me, and I had learned a decent amount of HTML, CSS, and JS.

What should I do next? Of course! Search for a job 😅
(Spoiler Alert: Bad decision)

I made a tweet asking if anyone wanted to hire me as a front end developer.
(6 / 11)
That tweet exploded, and within an hour, I got a job offer.
I ended up having a zoom call with the CEO of the company.

(7 / 11)
Things did not look right. They wanted me to create a full-stack production-ready application without any team or a senior developer's help. I ended up rejecting this offer.

(8 / 11)
Late 2020

I get a DM from this person working on a startup based on a blockchain recommendation system, and the company was profitable. ( According to him)
They were even willing to pay me a very good salary.

(9 / 11)
However, I honestly did not believe in the company's idealogy, which is why I rejected this offer too.

My parents told me that at this age, learning and exploring new things was really what I should be doing, not look for jobs.

(10 / 11)

More from Pratham Prasoon

Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Are you planning to learn to Python for machine learning this year?

Here's everything you need to get started.
🧵👇

In this thread we'll look at all the concepts in Python you need to know for machine learning along with free resources to help you out.

All of this is based on my experience of successfully teaching 300+ students how to code using Python.

(2 / 19

You can use many languages for machine learning, why Python?

Because of 2 reasons:
- Comparatively easier to learn than other languages
- Has the biggest and most mature community

This makes Python a no-brainer to learn for machine learning as a beginner.

(3 / 19)

These are the absolute basics which you must know about:

- Basic terminal commands
- Basic arithmetic (+,-,/,*)
- Accepting user input
- For & While loops
- Exception handling
- If-Else statements
- Functions, modules & Imports

(4 / 19)

Then comes the more tougher concepts which you must know about:

- Object oriented programming in Python:Classes, Objects, Methods
- PIP (Pypi)
- List slicing
- String formatting
- Dictionaries & Tuples
- Managing environments
- Dunder methods like __init__

(5 / 19)
MACHINE LEARNING , PYTHONML
Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
Machine Learning for the Web developer in 2021.

The beginner's guide.​

🧵👇

I started machine learning as a web developer, if I can do it then anyone can.

This carefully curated thread will give you key insights into my journey and how you can make this transition, seamlessly.

(2 / 14)

"Machine learning is not what you think it is"

One of the main reasons why people find it difficult to get started with machine learning is because of the lack of information, and rightfully so.

(3 / 14)

Machine learning as a concept has existed since the 1950s, but has only become popular in recent years because of the exponential rise of advancements in computer hardware.

(4 / 14)

In short, it because of the sudden rise of this technology ,which was previously unknown to the general public, that there is a lot of misinformation around it.

(5 / 14)
MACHINE LEARNING
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Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
This is a step-by-step guide on getting started with Python as a total beginner.

(includes free resources and everything else you need to get started)
🧵👇

Before we begin, I want to congratulate you on your decision to learn how to code using Python.

I still remember how I wrote my first piece of code 6 years and all the amazing and cool things I've been able to do with it ever since.

(2 / 24)

Make sure to keep in mind that it is probably best for you to keep your expectations in check.

Don't expect to make AAA games or state of the art machine learning models in a week.

(3 / 24)

Programming is not something that you can learn in a single week, it takes consistent effort and dedication over time to get good at it.

With all that being said, let's dive straight in.

(4 / 24)

In order to write Python code, you'll need to install Python on your system.

Linux and macOS users can skip this step because they come pre-installed with Python.

Download link: https://t.co/KSZ4Qd6CNk

(5 / 24)
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Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
How to learn Python for machine learning. 🐍

The beginner's guide.
(based on my real life experience of mentoring 300+ students)

🧵👇

In this thread we'll look at all the concepts in Python you need to know for machine learning along with all the free resources that you'll need.

All of this is based on my experience of successfully teaching 300+ students how to code using Python.

(2 / 19)

You can use many languages for machine learning, why Python?

Because of 2 reasons:
- Comparatively easier to learn than other languages
- Has the biggest and most mature community

This makes Python a no-brainer to learn for machine learning as a beginner.

(3 / 19)

These are the absolute basics which you must know about:

- Basic terminal commands
- Basic arithmetic (+,-,/,*)
- Accepting user input
- For & While loops
- Exception handling
- If-Else statements
- Functions, modules & Imports

(4 / 19)

Then comes the more tougher concepts which you must know about:

- Object oriented programming in Python:Classes, Objects, Methods
- PIP (Pypi)
- List slicing
- String formatting
- Dictionaries & Tuples
- Managing environments
- Dunder methods like __init__

(5 / 19)
MACHINE LEARNING , PYTHON USEFUL
Pratham Prasoon
Pratham Prasoon
@PrasoonPratham
These are the tools you will need for machine learning in Python.

🧵👇

Anaconda

When you work in python, you'll be working with several frameworks and many of them work only on specific versions of python.

(2 / 13)

Now imagine downloading a new version of python and then installing it for every framework you want to work with 😬.

Meet Anaconda which allows you to run several versions of python. It comes pre-installed with several data science and machine learning frameworks.

(3 / 13)

Pip-env is also a way of maintaining several versions of Python and comes pre installed with Python.
You can use pip env or Anaconda, whichever works for you.

(4 / 13)

Jupyter Notebooks

Jupyter notebooks is an IDE just like VS code or Sublime. The special thing about jupyter is that you can parts of code in mini code editors called cells. This is great for prototyping and testing code.

(5 / 13)
MACHINE LEARNING

More from Life

Peter McCormack [Jan/3\u279e\u20bf \U0001f511\u220e]
Peter McCormack [Jan/3...
@PeterMcCormack
1/ So here is a thread on how I turned $32,000 into $1.2m and back to pretty much zero (once taxes are paid).

Just note, I am not bitter or salty in any way at all, the last 2 years have been an amazing ride - travelled the world, been wealthy, been poor.

2/ Dec '16, my advertising agency folded, I had a little bit of money left and I put $32k into Bitcoin and Ether. As it started to go up I diversified into everything, Monero, Dash, this that, any crap - even Ripplecoin. Everything just kept going up.

3/ By March I think I had around $300k and $500k by the summer. I used to take 25% out but towards the end of the summer I got greedy and put it all back in and by December it was $1.2m.

4/ Thinking I was an absolute genius I decided to start a bunch of businesses. As silly as it sounds I had this goal of making $5m as I wanted to buy Bedford Town Football Club and get them in the league, and as Crypto was going up forever I needed 6 months.

5/ So:
- Trading (income 1)
- Podcast (income 2)
- Mining (income 3)
- Mining pool (income 4)
- Consulting (income 5)

Yes - all of the above as a one-man army :)
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Brother Eddy\u26a1
Brother Eddy⚡
@waronweakness
THE TRUTH BEHIND WHY ONLY 2% OF PEOPLE SUCCEED AND 98% OF PEOPLE FAIL

(Plus a 30 minute exercise to get you into the top 2%)

//Thread//

Quick PSA: If you get value from this thread, please share some Knowledge Karma and retweet the first tweet 👆

Thank you.

Now let's upgrade your life..

I'll start by addressing the elephant in the room.

This is not another thread about "positive thinking" and us ing affirmations to get what you want.

You will need to take action for this to work.

If you are willing to do that

Read on 👇

Psychological Fact #1 : Reality = What you experience in your mind.

Reality is not objective.

This is why a man with a million dollars can say he's "depressed"

While a man with nothing in his pocket can say he's "happy"

and they can both be right at the same time.

A plastic surgeon noticed a pattern in his patients.

Even though a patient underwent transformative surgery and OBJECTIVELY looked more beautiful

Many came out of surgery and still saw an ugly person in the mirror.

How is this possible?

It all boils down to self belief.
LIFE
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Simon DeDeo
Simon DeDeo
@SimonDeDeo
"I lied about my basic beliefs in order to keep a prestigious job. Now that it will be zero-cost to me, I have a few things to say."


We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.

Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)

It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.

Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".
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a raconteur of repute
a raconteur of repute
@JohannesTEvans
thread of NPCs / side characters

blanket permission to use these as prompts for art or fiction, to snaffle them for #ttrpg campaigns, etc, go right ahead! i might use them myself too, in future works!

ship captain who's bound to their ship and can't step a foot off it onto land or another boat - they can swim a little in the surrounding waters, but that's it

mermaid who makes a magical trade for legs on the exact same day their human lover makes a magical trade for gills

faerie divorce lawyer who gets called onto assist with a human friend's legal troubles

the opposition vastly underestimates the lawyer's ability to run rings around contractual obligation

group of brownies who recently have taken up residence in the warmest place in a human's house - the cabinet their games console is in
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Nicholas Clairmont
Nicholas Clairmont
@NickClairmont1
Stick with me for a story about how the logic of lockdowns can turn into something really sinister.

It begins with a Golden Retriever named Neesha

Neesha and her little pup sibling Harley were lost on an hike, taking in the outdoor air in the Wicklow Mountains.


If you've never been to Ireland, you should understand that these are 1) right near the city where most of the country lives and 2) the most beautiful thing you've ever seen


The dogs had bolted, and the owners had only ben able to find Harley. They thought Neesha was dead. But miraculously, two doctors on a hike in Wicklow found Neesha almost two full weeks later


She lost a third of her body weight, but now she is at home, snuggled up and warm with her family.
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Nicolas
Nicolas
@necolas
A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.

Legacy site *downloads* ~630 KB CSS per theme and writing direction.

6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices

https://t.co/qyl4Bt1i5x


PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.

735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices

https://t.co/w7oNG5KUkJ


The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.

The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
TECH
Jaya_Upadhyaya
Jaya_Upadhyaya
@Jayalko1
ARULMIGU SRI PARTHASARATHY SWAMY KSHETRAM, CHENNAI (TN)

Divya Desha where Perumal appears with moustache of a Sarathi (charioteer) to conduct Arjun’s Rath in Kurukshetra war.
Here, Venkatkrishna-Parthasarthy is present with his entire family.


He is flanked by Sri Rukmini, Sri Balarama, Satyaki, son Pradyumn and grandson Anirudha.
It is said that on the request of Raja Sumathirajan, Sri Perumal appeared and stayed here as Arjun’s charioteer (Partha-sarathi).


He is without chakra as he had promised not to wield weapons in Mahabharata war.
The face has scars caused by Bhishma’s arrows on Arjun. Prabhu took the arrows on himself to protect Arjun.


The Naivedyam offered here does not have spices. Ghee is used in it to cure Prabhu’s wounds. Sarkarai Pongal is famous here.

It is said that Rishi Bhrigu found Devi Lakshmi (as Vedvalli) in Alli flower in the mandir pushkarini. Later, Sri Ranganatha came here to marry her.
ALL
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Anshul Pandey
Anshul Pandey
@Anshulspiritual
Rig Ved 1.36.7

To do a Namaskaar or bow before someone means that you are humble or without pride and ego. This means that we politely bow before you since you are better than me. Pranipaat(प्राणीपात) also means the same that we respect you without any vanity.

1/9


Surrendering False pride is Namaskaar. Even in devotion or bhakti we say the same thing. We want to convey to Ishwar that we have nothing to offer but we leave all our pride and offer you ourselves without any pride in our body. You destroy all our evil karma.

2/9

We bow before you so that you assimilate us and make us that capable. Destruction of our evils and surrender is Namaskaar. Therefore we pray same thing before and after any big rituals.

3/9

तं घे॑मि॒त्था न॑म॒स्विन॒ उप॑ स्व॒राज॑मासते ।
होत्रा॑भिर॒ग्निं मनु॑षः॒ समिं॑धते तिति॒र्वांसो॒ अति॒ स्रिधः॑॥

Translation :

नमस्विनः - To bow.

स्वराजम् - Self illuminating.

तम् - His.

घ ईम् - Yours.

इत्था - This way.

उप - Upaasana.

आसते - To do.

स्त्रिधः - For enemies.

4/9

अति तितिर्वांसः - To defeat fast.

मनुषः - Yajman.

होत्राभिः - In seven numbers.

अग्निम् - Agnidev.

समिन्धते - Illuminated on all sides.

Explanation : Yajmans bow(do Namaskaar) before self illuminating Agnidev by making the offerings of Havi.

5/9
RELIGION
Amit Schandillia
Amit Schandillia
@Schandillia
[THREAD: HISTORY OF THE HINDU TEMPLE]
1/102
Four hours south of Aswan in Lower Nubia, right by the Nile, is a region dotted with temple complexes built more than 3,000 years ago. Some like the temples of Amada, Derr, and Beit el-Wali go as far back as 1500 BC.


2/102
A little further south, not far from the border with Sudan, is another complex dedicated to Ramses II, Hathor, and Nefertari in the village of Ipsambul, better known locally as Abu Sunbul and internationally as Abu Simbel. These go back to the 13th century BC.


3/102
Djeser-Djeseru, also known as the mortuary temple of Hatshepsut in Upper Egypt also dates to 1400 BC. Over 500 years older is the nearby Mentuhotep II, also a mortuary temple. Both were dedicated to the cult of Amun Ra, besides their respective pharaohs.


4/102
Far older is the Ġgantija complex of Malta. Going as far back as 3600 BC, this one comprises of two temples entirely made of stone and enclosed in a stone wall. From the figures therein, it's understood to be a site of some kind of a fertility cult worship.


5/102
Dating from the same period are the limestone megaliths of Ħaġar Qim and Mnajdra, both said to have once hosted ritualistic sacrifices as part of the same fertility cult worship as found in the Ġgantija complex. Malta has some of the oldest temple complexes in Europe.
RELIGION
Michael Dearing
Michael Dearing
@mcgd
An irony of facebook's situation.

Sheryl got her MBA at Harvard. One of the most famous cases (Extra Strength Tylenol) in one of the most famous classes (Business History) she took: in 1982, someone put cyanide in Extra Strength Tylenol capsules and killed 7 people in Chicago.

What do you do when someone turns your product into a weapon? When they use the system you built to harm? James Burke, CEO of J&J, was shockingly open with the public, he pulled the product and made significant packaging changes to make product safer (but not tamper-proof).

He over-shared every step along the way re investigation, redesign, stood up as both CEO and human. The reintroduction of new Extra Strength Tylenol succeeded. Burke saved the brand.

But four years later it happened again. A killer put cyanide in the capsules, this time a woman in Yonkers died. Same CEO, Burke, pulled the product again, completely changed the form factor from capsule to caplet and relaunched *again*. It worked *again*. How'd they do that?

Burke (CEO) tapped J&Js goodwill bank account w/ the public. Two big withdrawals from that bank account in four years + 8 dead bodies! But his honesty, openness, humanity (choked up about the deaths more than once), humility kept the goodwill bank balance positive the whole time.
TECH