& @SCOTUSblog can the #American people trust you?

Let's peel back the surface layer and show the people...

We the people are the power.

1. Abuse of power
2. Dereliction of Duties
3. You ignored the information, to hide corruption!
4. Doc Citation

Comment???

More from PioyPioyPioy⭐⭐⭐

More from Law

A Call for Help!
1. we have a petition/open letter for the WHO
https://t.co/Bie8pUy7WJ
2. 372 people signed it but we want to boost it
3. I post link ascomment on related YT videos
Tks @KevinMcH3 for the tip
4. You can help by liking the comments
5. That will increase visibility!


6. Links for YT videos with comments are here
1. China curtails hunt for virus origins
https://t.co/NhcYdtsd2Y
2. China: nearly 500,000 may have been infected in Wuhan
https://t.co/KRUQ5hFrii
3. WHO becomes US-China battleground | DW Documentary
https://t.co/8ah8M8bpiB


4. Gravitas: The 'hidden hunt' for COVID-19 origins
https://t.co/hHhhUqgPYt
5. Seeking the invisible: hunt for origins of deadly Covid-19 coronavirus will take scientists to Wuhan
https://t.co/tCPQqjUZF3
6. WHO team to probe COVID-19 origins in

7. How forensic researchers track down origins of SARS-CoV2
https://t.co/r7A1lkr5li
8. Bats, roadblocks & the origins of coronavirus - BBC
https://t.co/Kh9jacC54t
9. New coronavirus strain is far more infectious and spreading among young - BBC

10. https://t.co/OcpAZ9nrl3
11. https://t.co/OcpAZ9nrl3
12. https://t.co/OcpAZ9nrl3
13. https://t.co/PhmoSfvbD8
14. https://t.co/TsvB7SYN2c
15. https://t.co/0o5YbmiUbJ
16. https://t.co/ir7QiwmlWt
17. https://t.co/PTT3KZDi8F
18.

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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.