Strongly endorse everything in this @OsitaNwanevu piece. One of the key mistakes I see among Dems, both online & in the real world, is thinking that people believe right-wing nonsense because they are unintelligent or uneducated.

In the area I know best, climate change, it's been found repeatedly that climate denialists & skeptics have, on average, MORE higher education than those who accept the science. They know MORE about climate science. They have, on average, HIGHER verbal intelligence.
What they do is adopt the conclusion that best serves their social tribe and then use their intelligence & education to build a case for it. It's called "motivated reasoning" & everyone is subject to it, very much including the smartest people.

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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.