1. “Who Are Ireland’s Members Of The World Economic Forum Implementing The Great Reset In 2021 ? 🧵1/28
🕵️🔎 Politicians, Musicians, Clergy, Bankers, Journalists, Human Rights, Artificial Intelligence, Sustainability, Corporations & Agriculture

Leo Varadkar
Former Taoiseach, Tánaiste and Minister for Enterprise and also a member of the Young Global leaders site
https://t.co/5Cq2bu04mn
Former Minister of Finance, Department of Finance of Ireland
https://t.co/y8KD9sJEhr
David McWilliams
Broadcaster, Writer and Commentator, Iconic Media Ltd and also a member of the Young Global Leaders site
https://t.co/YLRkLZ6PE6
Francesca McDonagh
Chief Executive Officer, Bank of Ireland Group
https://t.co/QLd7FonC9J
Chief Executive Officer, sub-Saharan Africa, JPMorgan Chase & Co
https://t.co/agbzP6yQU2
Eimear Farrell
Human Rights Officer
Heads Up Ireland's national Artificial Intelligence Strategy
https://t.co/QqqlooyKXx
William (Liam) Casey
Founder and Chief Executive Officer, PCH International
Interestingly, on their site https://t.co/9ek6ABLeoR there is a link to providing PPE to hospitals which is now broken
https://t.co/F8lmZIlMZE
Director-General, Development Cooperation and Africa Division, Irish Aid
https://t.co/ZVadn585Wo
Co-Founder and COO, Kinzen. Also married to Aodhán Ó Ríordáin who is an Irish Labour Party politician.
Not sure why but the link to her profile is broken 🤔
https://t.co/GCWqi2ssfk
Senior Partner and Managing Director, Boston Consulting Group.
https://t.co/YYHZ3coWWM
https://t.co/7YMwLVzDfp
Time for a bit of housekeeping. I\u2019ve collated all my\U0001f9f5and put them in one place to make them easier to find. Lots of\U0001f407\U0001f573\ufe0f to go down. Download links\U0001f447for each\U0001f9f5in a word document as well if you want to circulate. Enjoy
— Stephen Fasenfeld \U0001f600 (@fasenfeld) December 19, 2020
More from Economy
1. HUGE DISCOVERY!
What would have been exposed if @GenFlynn hadn't been impeded by corrupt FBI, DOJ and the Obama White house?
He'd have exposed CHINA and their laundering of IRANIAN OIL MONEY!
Read the thread below for the back story on how they went after Flynn.
What would have been exposed if @GenFlynn hadn't been impeded by corrupt FBI, DOJ and the Obama White house?
He'd have exposed CHINA and their laundering of IRANIAN OIL MONEY!
Read the thread below for the back story on how they went after Flynn.
1. As promised.
— \U0001f1fa\U0001f1f8 \U0001d7dc\U0001d7d8\u210d\U0001d556\U0001d552\U0001d555 \U0001f1fa\U0001f1f8 \u2b50\u2b50\u2b50 \U0001f1fa\U0001f1f8 (@40_head) December 2, 2020
A deep dig covering years of research. This is going to take you committing some real time to get through. What's THIS all about?
A coup. Murder. Treason. Laundering gold for Iran...I think it will blow your mind.
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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.
