This interview from @OSchiffey has great quotes that directly refute the nonsense that many privacy advocates spout about how the death of cross-site tracking will help ad-supported publishers on the open web. https://t.co/bj1gWPKOei 1/

The interview is with a senior leader at a major global ad agency. Someone who actually knows what advertisers are talking about, where they are directing their spending, and what the future trends will be. Not a privacy advocate who knows nothing about the advertising market 2/
First, privacy advocates spread misinformation and bad research data that ITP hasn't hurt publisher revenue and/or hasn't affected advertiser spending. And yet here is an unequivocal answer as to the impact of ITP on advertiser spending. 3/
The agency exec also clearly shares the opinion that the end of 3PC will push money away from the open web, exactly what privacy advocates claim won't happen. 4/
She also talks about how context matters, but so does audience. Audience targeting is effectively dead without 3PC and non-Chrome browsers are doing nothing to change this. 5/
So the loss of audience targeting is another major negative for the open web as opposed to walled gardens who are mostly not affected - silence from privacy advocates. 6/
Then this quote, specifically about ID solutions, but also applies to contextual targeting. Context doesn't scale very strongly for advertisers, so where do you think more of their spending will flow? To the walled gardens of course! 7/
"Privacy" is used either as a tool for those who hate advertising, and just don't care about destroying free, quality content on the open web, or as a way to drive revenue growth for global platforms like Apple. https://t.co/TaRiRx5zP3 8/
More privacy is good, but it appears increasingly likely that the death of cross-site/app tracking (with no replacement) will drive more money to major platforms, hurt quality content, and allow those platforms to abuse privacy inside their walled gardens. 9/9

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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.
"I really want to break into Product Management"

make products.

"If only someone would tell me how I can get a startup to notice me."

Make Products.

"I guess it's impossible and I'll never break into the industry."

MAKE PRODUCTS.

Courtesy of @edbrisson's wonderful thread on breaking into comics –
https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.


There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.

You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.

But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.

And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.

They find their own way.