https://t.co/vVCYVGJoCm
While we await white smoke signalling a #Brexit deal, let us consider what the end of the transition period on 31 Dec (deal or no deal) will mean for the future of UK politics. Will the end of the Brexit process lead to the end of British #populism? I am very sceptical.
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https://t.co/vVCYVGJoCm
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1) the emotionalization and over-simplification of highly complex issues (such as Brexit, the pandemic, migration, culture or history)
2) the reliance on bogeymen ('enemies') both abroad and at home
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More from Brexit
They have started in the Scottish case
Looks like a near-concession that the side letter is Padfield-compliant
Looks like a near-concession that the side letter is Padfield-compliant
O\u2019Neill says @BorisJohnson \u201cat the very least sailing close to the wind\u201d by potentially breaching promises to #courtofsession not to frustrate #BennAct in his signed letter to Donald Tusk
— Severin Carrell, Esq (@severincarrell) October 21, 2019
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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.
