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Pratham

@PrasoonPratham

5 Nov

You wouldn't believe this, a friend of mine is earning $100k+ a year by writing code for something called a 'DAO'.

They are one of the most interesting applications of blockchain tech in web3 and are being used for a host of different things.

Here's how it works 🧵

🏢'DAOs short for (𝗗ecentralized 𝗔utonomous 𝗢rganizations) are an effective and safe way to work with like-minded folks around the globe.'

- Ethereum.org

🔺Corporations of today operate with a 'hierarchical' structure so to speak.

The people at the top hold an immense amount of power, which they can use to their own advantage.

Granted there are laws and rules to prevent this, but they aren't always enforced.

There's always room for shady things like insider trading or manipulating the books to happen.

Read 14 tweets

Pratham

@PrasoonPratham

1 Oct

Want to learn Python as a beginner in 2021 for free?

Here's everything you need to know to get started with updated resources and a proper roadmap!

🧵 👇🏻

A bit of backstory, I wrote my first piece of Python code in 2015 but eventually gave it up for several years because of two main reasons:

A. I had no internet
B. No guidance

You have the power of the internet and I don't want the same to happen to you, hence this guide.

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

Feel free to modify this roadmap to your liking!

Now onto the guide.

Read 22 tweets

Pratham

@PrasoonPratham

29 Sep

Hi 👋 if you are interested in:

🐍 Python
📈 Data Science
🤖 Machine Learning
🐼 pandas

Follow me. ✔️

I'm planning on using Twitter to share a lot of content that you won't want to miss. 🎉

👽👌

The twitter algorithim is a joke😂

I'll explain what happened sometime soon, this went pretty unexpected.

Read 5 tweets

Pratham

@PrasoonPratham

28 Sep

The mean squared error is probably one of the very first evaluation metrics that you might've used when making machine learning models.

Yet most people don't have a clear intuition about how it works, let's fix that today!

🧵 👇🏻

📍 The mean squared error (MSE) is a common loss function used for 'regression' problems.

Regression models are used for predicting quantitave values based on data like the prices of houses in an area, future height growth of a plant etc.

📈 MSE is calculated as the sum of the squared difference between the predicted and actual values of the target variable.

Let us break this down with the help of an example 👇🏻

Read 16 tweets

Pratham

@PrasoonPratham

26 Sep

This image sold for $69.3 million as an 'NFT', one of the most fascinating applications of blockchains.

You must've already heard about it but do you know what NFTs really are and how they work?

Here's an explanation in under 5 minutes.
(+ how you can make your own!)
🧵 👇🏻

📖 NFT is short for 'Non-Fungible Tokens'.

When we say something is fungible, that means that it can replaced by something that is exactly the same value.

For example you can you take a 100 dollar bill and another one, they have the same value and are interchangable.

💵 There's nothing unique about a specific 100 dollar bill, there are probably millions of them in circulation.

When we say something is non-fungible it means that it is unique and cannot be exchanged for something else.

You cannot exchange the Mona Lisa for something else.

Read 18 tweets

Pratham

@PrasoonPratham

25 Sep

Solidity smart contract developers are being paid $145,000/year on AVERAGE right now, and rightfully so.

There is extreme demand for smart contract code and not enough supply, but what even is a smart contract?

The thread will explain everything in less than 5 minutes.

🧵 👇🏻

📜 The term "smart contract" was first used by Nick Szabo, a computer scientist and cryptographer, back in 1997.

Just like contracts in the real world, smart contracts are contracts but in the digital world.

Today, they're used on the blockchain.

🖥️ It's a program just like your Python or JavaScript code that runs on the blockchain.

Let's understand this with an example 👇🏻

Read 17 tweets

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