A mini history re: AZ Senate Seat Politics:
McCain was an AZ Senator for 31 yrs over 5 terms.
In 2015 he was primary challenged by Dr. Kelli Ward, an AZ State Senator and tea party fav.
In a surprisingly brutal primary, where McCain poured HUGE 💰 into, he won. (Did he?🤔)
More from For later read
Today's Twitter threads (a Twitter thread).
Inside: Planet Money on HP's myriad ripoffs; Strength in numbers; and more!
Archived at: https://t.co/esjoT3u5Gr
#Pluralistic
1/
On Feb 22, I'm delivering a keynote address for the NISO Plus conference, "The day of the comet: what trustbusting means for digital manipulation."
https://t.co/Z84xicXhGg
2/
Planet Money on HP's myriad ripoffs: Ink-stained wretches of the world, unite!
https://t.co/k5ASdVUrC2
3/
Strength in numbers: The crisis in accounting.
https://t.co/DjfAfHWpNN
4/
#15yrsago Bad Samaritan family won’t return found expensive camera https://t.co/Rn9E5R1gtV
#10yrsago What does Libyan revolution mean for https://t.co/Jz28qHVhrV? https://t.co/dN1e4MxU4r
5/
Inside: Planet Money on HP's myriad ripoffs; Strength in numbers; and more!
Archived at: https://t.co/esjoT3u5Gr
#Pluralistic
1/

On Feb 22, I'm delivering a keynote address for the NISO Plus conference, "The day of the comet: what trustbusting means for digital manipulation."
https://t.co/Z84xicXhGg
2/

Planet Money on HP's myriad ripoffs: Ink-stained wretches of the world, unite!
https://t.co/k5ASdVUrC2
3/

Back in November, I published an article for @EFF about @HP's latest printer-ink ripoff: after offering its customers a free-ink-for-life plan, it unilaterally switched them all to a $1/month-for-life plan.https://t.co/bsc73xPSuo
— Cory Doctorow #BLM (@doctorow) February 18, 2021
1/ pic.twitter.com/tagduPupA5
Strength in numbers: The crisis in accounting.
https://t.co/DjfAfHWpNN
4/

Accountancy is more likely to be mocked than celebrated (or condemned), but accountants, far more than poets, are the unacknowledged legislators of the world.
— Cory Doctorow #BLM (@doctorow) February 18, 2021
1/ pic.twitter.com/FaNQc66gQN
#15yrsago Bad Samaritan family won’t return found expensive camera https://t.co/Rn9E5R1gtV
#10yrsago What does Libyan revolution mean for https://t.co/Jz28qHVhrV? https://t.co/dN1e4MxU4r
5/

I should mention, this is why I keep talking about this. Because I know so many people who legally CAN'T.
How do I know they have NDAs, if they can't talk legally about them? Because they trusted me with their secrets... after I said something. That's how they knew I was safe.
Some of the people who have reached out to me privately have been sitting with the pain of what happened to them and the regret that they signed for YEARS. But at the time, it didn't seem like they had any other option BUT to sign.
I do not blame *anyone* for signing an NDA, especially when it's attached to a financial lifeline. When you feel like your family's wellbeing is at stake, you'll do anything -- even sign away your own voice -- to provide for them. That's not a "choice"; that's survival.
And yes, many of the people whose stories I now know were pressured into signing an NDA by my husband's ex-employer. Some of whom I *never* would have guessed. People I thought "left well." Turns out, they've just been *very* good at abiding by the terms of their NDA.
(And others who have reached out had similar experiences with other Christian orgs. Turns out abuse, and the use of NDAs to cover up that abuse, is rampant in a LOT of places.)
How do I know they have NDAs, if they can't talk legally about them? Because they trusted me with their secrets... after I said something. That's how they knew I was safe.
And if the environment at the org was toxic or abusive, it is not uncommon to not realize the extent of that toxicity/abuse until after you're out. But by the time you realize that you signed under duress and presumed good faith where none existed, you're out of options.
— Lauren Thoman (@LaurenThoman) February 16, 2021
Some of the people who have reached out to me privately have been sitting with the pain of what happened to them and the regret that they signed for YEARS. But at the time, it didn't seem like they had any other option BUT to sign.
I do not blame *anyone* for signing an NDA, especially when it's attached to a financial lifeline. When you feel like your family's wellbeing is at stake, you'll do anything -- even sign away your own voice -- to provide for them. That's not a "choice"; that's survival.
And yes, many of the people whose stories I now know were pressured into signing an NDA by my husband's ex-employer. Some of whom I *never* would have guessed. People I thought "left well." Turns out, they've just been *very* good at abiding by the terms of their NDA.
(And others who have reached out had similar experiences with other Christian orgs. Turns out abuse, and the use of NDAs to cover up that abuse, is rampant in a LOT of places.)
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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.
