A vitally important thread. Much isnt new, but is so in the air we breathe we forget how RECENT it is & therefore how unaccustomed we r to coping w/it. At the risk of hijacking her great observatns, theyre pivotal to points others have made re: Institutional Evangelicalism...1/12
Popping back on briefly to share some insights on media consumption, spread of conspiracy theories, & epistemelogical divides.
— hannah anderson (@sometimesalight) January 12, 2021
This is not about politics. This is about our country, about the rule of law, and about the sanctity of human life. https://t.co/rYidlxRvfE
— Russell Moore (@drmoore) January 11, 2021
"Secularism is not the prodigal son who fled a good and loving home, it\u2019s the estranged spouse of evangelicalism\u2019s extramarital affair with individualism."
— Brad Edwards (@cbradedwards) September 8, 2020
This is a thesis that has been incubating since before the pandemic hit, but... (1/5)https://t.co/gD0IP58HVw
EXPANDED THREAD on the fracturing of evangelicalism:
— Michael S. Graham (@msgwrites) December 21, 2020
I keep thinking about what I\u2019m observing as I talk to other pastors & ministry leaders around the country and I think that evangelicalism is fracturing into at least 6 distinct groups:
1/14 pic.twitter.com/lR5xkApYn2
More from For later read
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
Where are good old days when techies were libertarians.
— Cranky (@rushingdima) January 9, 2021
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
Morgan McSweeney, Keir Starmer’s chief of staff, launched the organisation that now runs SFFN.
The CEO Imran Ahmed worked closely with a number of Labour figures involved in the campaign to remove Jeremy as leader.
Rachel Riley is listed as patron. https://t.co/nGY5QrwBD0
SFFN claims that it has been “a project of the Center For Countering Digital Hate” since 4 May 2020. The relationship between the two organisations, however, appears to date back far longer. And crucially, CCDH is linked to a number of figures on the Labour right. #LabourLeaks
Center for Countering Digital Hate registered at Companies House on 19 Oct 2018, the organisation’s only director was Morgan McSweeney – Labour leader Keir Starmer’s chief of staff. McSweeney was also the campaign manager for Liz Kendall’s leadership bid. #LabourLeaks #StarmerOut
Sir Keir - along with his chief of staff, Morgan McSweeney - held his first meeting with the Jewish Labour Movement (JLM). Deliberately used the “anti-Semitism” crisis as a pretext to vilify and then expel a leading pro-Corbyn activist in Brighton and Hove
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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.