More from GAVNet
Daily Bookmarks to GAVNet 01/23/2021
Irrigation schemes in sub-Saharan Africa are consistently falling short of their promises
https://t.co/F9OlCXfKPZ
#africa #irrigation
‘We feel incredibly betrayed’: Thousands of Guardsmen forced to vacate Capitol
https://t.co/laCWjytrLn
#military #deployment #domestic
The New York Times Introduces a Web Site
https://t.co/0e0vadzDyS
#websites #anniversaries #journalism #newspapers
How will Democrats’ control of an evenly-divided Senate work? | US Elections 2020 News | Al Jazeera
https://t.co/nK5irhQQIO
#government #PartisanPolitics
Irrigation schemes in sub-Saharan Africa are consistently falling short of their promises
https://t.co/F9OlCXfKPZ
#africa #irrigation
‘We feel incredibly betrayed’: Thousands of Guardsmen forced to vacate Capitol
https://t.co/laCWjytrLn
#military #deployment #domestic
The New York Times Introduces a Web Site
https://t.co/0e0vadzDyS
#websites #anniversaries #journalism #newspapers
How will Democrats’ control of an evenly-divided Senate work? | US Elections 2020 News | Al Jazeera
https://t.co/nK5irhQQIO
#government #PartisanPolitics
More from World
THREAD
1)
Newsweek — #Iran has sent deadly "Shahed-136 suicide/kamikaze drones" to the Houthis in #Yemen. These advanced UAVs are deployed to the Houthi-controlled northern Yemeni province of Al-Jawf.
More reason why the West should not appease Tehran.
https://t.co/gtNDCGbtQs
2)
#Iran has long provided drones to the Houthis
March 22, 2017
“… seven Houthi Qasef-1 drones and one drone engine recovered by forces from the UAE. Six of the drones were captured in October on a known Iranian smuggling route that runs through
3)
US to designate #Iran-backed Houthis in #Yemen as a foreign terrorist org (FTO)
https://t.co/ILBCg3Pfvs
Iran’s IRGC long funded/armed/trained/provided for the Houthis.
Dec 30—Missile attack on Aden airport. Yemen gov holds Houthis
4)
#Iran provides at least $360 million, ballistic missiles, other ordnance, technology and training to the Houthis in
5)
The Houthis recently claimed responsibility for a missile attack targeting Saudi Arabia’s Aramco oil
1)
Newsweek — #Iran has sent deadly "Shahed-136 suicide/kamikaze drones" to the Houthis in #Yemen. These advanced UAVs are deployed to the Houthi-controlled northern Yemeni province of Al-Jawf.
More reason why the West should not appease Tehran.
https://t.co/gtNDCGbtQs
2)
#Iran has long provided drones to the Houthis
March 22, 2017
“… seven Houthi Qasef-1 drones and one drone engine recovered by forces from the UAE. Six of the drones were captured in October on a known Iranian smuggling route that runs through
3)
US to designate #Iran-backed Houthis in #Yemen as a foreign terrorist org (FTO)
https://t.co/ILBCg3Pfvs
Iran’s IRGC long funded/armed/trained/provided for the Houthis.
Dec 30—Missile attack on Aden airport. Yemen gov holds Houthis
4)
#Iran provides at least $360 million, ballistic missiles, other ordnance, technology and training to the Houthis in
5)
The Houthis recently claimed responsibility for a missile attack targeting Saudi Arabia’s Aramco oil
"MLs" do support the proletariat of Xinjiang & have the whole time. People like @Tursunali_7 & @GulnarNorthwest (and many others) who show the world the real Xinjiang via their everyday videos.
Shopkeepers like in this video below say
"Pompeo, we Xinjiang people hate you."
Or everyday working people like Zaynura Namatqari, who speak out against vicious & disgusting US lies and accusations about
.@qiaocollective have a brilliant thread of everyday proletarian Uyghurs speaking out against the harassment they face from the US and their paid
'Uyghur proletariat' looks like this:
Not like this: (photo from a pro Islamist separatist protest in Turkey in 2017)
Shopkeepers like in this video below say
"Pompeo, we Xinjiang people hate you."
Or everyday working people like Zaynura Namatqari, who speak out against vicious & disgusting US lies and accusations about
BBC's false reporting is hurting real Uygurs.
— Jingjing Li \u674e\u83c1\u83c1 (@Jingjing_Li) February 13, 2021
At a press conference, I saw this Uygur lady, who is a former trainee of a vocational education & training center in #Xinjiang, got emotional & furious at @BBC 's false reporting accusing systematic rape in #China. #Uyghur pic.twitter.com/vdu7KlAWMr
.@qiaocollective have a brilliant thread of everyday proletarian Uyghurs speaking out against the harassment they face from the US and their paid
The family of a retired cadre scorn Pompeo and the American imperialist interests he stands for. They celebrate China's sanctioning of Pompeo as the proper move against U.S. imperialist designs on Xinjiang. pic.twitter.com/vOfExwMfD8
— Qiao Collective (@qiaocollective) February 12, 2021
'Uyghur proletariat' looks like this:
Not like this: (photo from a pro Islamist separatist protest in Turkey in 2017)
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Module 1
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... 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
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# 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.