it’s been 2 years of this newsletter! 🥳
In these anniversary issues, I like to go through the last year of writing this weekly newsletter and see what everyone liked. So, in case you missed these awesome links, this is what everyone else enjoyed!
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Over the last year, I built the website pythondeadlin.es to point to Calls for Participation and general Python conference deadlines!
I’m getting ready to head to Euroscipy tomorrow, and people seemed curious about the conference!
But apart from clicks on things I share, I got fantastic feedback about the ebook everyone got when signing up and ended up expanding it over time. It’s still in the email footer for anyone needing to redownload it!
I have also expanded this newsletter to include the answer to last week’s question every week. This is a ton of work, but it seems worth it to me based on the feedback I got. I have also added the completely new “Data Stories” section. This wasn’t asked for, but I felt like highlighting more amazing data viz and communication examples in the data world. That has truly been a delight.
Furthermore, I completely overhauled the sign-up webpage, fixed a broken link in the confirmation email (still extremely embarrassing), and added a little feedback widget down below, which has been quite popular.
In this year, we’ve grown by 500 subscribers, which is honestly incredible. Welcome, everyone!
Out of all the things I shared, these were the most popular things I liked throughout the year!
I bought some NFC tags for automations around the house and this was by far the most popular link in this category!
Weirdly, a ton of folks were curious about the Tongue Scraper. It’s still the best feeling for me, has anyone else got one?
I get it. No one was able to resist the Googly Eyes. It’s a normal reaction.
These were the most popular pieces I’ve created this year:
My 100 ML tips videos has had a ton of interest among you.
I wrote an article sharing ML Ops books that I think are really great, including Chip Huyen’s newly released book.
My post about trillions of dollars of value being locked up in PDFs and how to extract them with machine learning was wildly popular both here and on social media. I’m glad everyone enjoyed my disdain for “information and data” in PDFs.
It has been lovely sharing my little creations during the past year. There has been a ton more, but I figured I’d share some highlights.
You loved the visualization of different sizes of science fiction ships.
Nerds!
Here you go again!
Thank you, everyone, for this amazing year!