This is a thread on 5 Visual Studio Code extensions I cannot live without.

Visual Studio IntelliCode

The Visual Studio IntelliCode extension provides AI-assisted development features in Visual Studio Code in Python, JavaScript and TypeScript.

A performant, feature-rich language server for Python in VS Code that provides static typing features.
Live Server

Launch a development local Server with live reload feature for static & dynamic pages
One Dark Pro

This is a theme based on the One Dark theme used by default in Atom.

This extension gives VS code Jupyter notebook support, interactive programming and computing that supports Intellisense, debugging and more.

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More from @PrasoonPratham

23 Feb
This is a thread 🧵 on Python 101:

*args and **kwargs

Let's say we have a function that adds numbers. Image
If we run this code 👇🏻

` adding(2 , 3)`

We will get 5 as the output, simple enough.
Read 13 tweets
20 Feb
Maths is the biggest hurdle most people face in machine learning and it is not because "you're just bad at math".

You were probably just never taught maths in a fun and intriguing way.

My goal this year is to understand the maths for ML and make it simple for all of you.
How do I plan to achieve this?

- Use less math jargon
- Provide practical uses for the math using code
- Oversimplify things (only to a certain level)
- Use of visualisations like this 👇
Here's an example of "oversimplifying".

Let's try to define a Tensor.

Definition 1: "In mathematics, a tensor is an algebraic object that describes a relationship between sets of algebraic objects related to a vector space....."

Definition 2: 👇
Read 6 tweets
19 Feb
When I first tried to get into machine learning 2 years ago, I heard about frameworks like Pandas, Keras, Matplotlib... and I was overwhelmed.

This is a thread on what these frameworks are about so that you don't go through the pain I did.

First and foremost, make sure that you have nailed the fundamental concepts of Python because machine learning requires a lot of programming!

(2 / 19)
If you know these topics, then you are good to go with machine learning in Python

- Object-oriented programming in Python:Classes,Objects,Methods
- Lists & List functions
- List comprehension
- List slicing
- String formatting
- List,Dictionaries & Tuples

(3 / 19)
Read 19 tweets
19 Feb
I mined DogeCoin for a week.

Here's what happened👇
Before we begin, here's Mining 101

Let's take the example of Paypal.

When you make a transaction through Paypal, it takes a cut of your money for facilitating the exchange.
In a blockchain,(as a miner) you act as Paypal for facilitating the exchange and you get a cut of the transaction.

In order to make this transaction happen your PC has to do some work.

That's an oversimplified version of how mining works.
Read 6 tweets
17 Feb
Flask Vs Django.

Which python framework should you use?

You must have read articles that say Flask is a 'lighter' framework than Django than Flask but what does this mean?

Let me show you.
In order to create a Django project, you run this command 👇
Read 27 tweets
15 Feb
Do you want to learn the maths for machine learning but don't know where to start?

This thread is for you.
The guide that you will see below is based on resources that I came across, and some of my experiences over the past 2 years or so.

I use these resources and they will (hopefully) help you in understanding the theoretical aspects of machine learning very well.
Before diving into maths, I suggest first having solid programming skills in Python.

Read this thread for more details👇

Read 15 tweets

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