I remember a time when there were Republicans who were at least plausibly moral and plausibly rational. When I could count a few as friends, and even trust them. Now, even the ones I've known for years, I can barely look at. I am disgusted and disappointed beyond measure.
@Costco It sucks when something we have come to rely on as a gluten free is replaced by a Kirkland version with "gluten free" emblazoned on the box, but "made in a facility that processes wheat" on the back. For families like ours, that's NOT GLUTEN FREE ๐คข๐คฎ๐ค
In my optimistic moments I tell myself:
Republicans have spent fifty years saying "government can't do anything."
๐๐ฉ๐คก will disprove that in short order by showing how much harm the government can do. Only then will people be willing to accept that "government can do good."
Two things are now assumed:
Republicans don't care about Rule of Law
Republicans are a cult of personality
It will take superhuman effort to disprove either of these in my lifetime
Not all achievements feel the same. I thought this would be no biggie, but tipping over Combat Elite on a Basilisk at Hutton Orbital was an instant gaming core memory. Happy 10th @EliteDangerous#EliteDangerous#StellarScreenshots
I survived fourteen interdictions to get here. Hoping that will at lease get me in line for a "Battle of Eden" mug once the gift shop opens again @huttonorbital#EliteDangerous
Data pipelines will put you in the top 1% of the market.
If you could only learn one skill for the next decade, I can't think of anything more critical than learning to move and process data at scale.
I like to tell people I'm a Machine Learning Engineer, but in reality, 90% of the value I produce comes from my ability to move data around consistently and correctly.
In the field, we like to use the term "orchestration" when talking about coordinating workflows that move and process data. At a high level, there are three main steps you need to worry about:
1. Getting the data from its source
2. Processing and cleaning that data
3. Delivering the cleaned data to the right place
You might also have heard about "ETL" (Extract, Transform, Load), which is how most people refer to the process above.
Of course, building a simple ETL system isn't complex; most developers can do it without too much trouble. The problem is designing resilient, scalable, and fault-tolerant systems.
You can't code your way to a production-ready orchestration platform (ask me how I know.) I started with AirFlow and eventually moved to @kestra_io because of its event-driven architecture.
Event-driven means you can kick off a workflow automatically based on different triggers. For instance, when somebody uploads a new file to a folder, an app updates a database table, or there's a new message in a queue.
It's hard to summarize everything you get from Kestra, but here are some of the highlights:
โข Kestra is free and open-source
โข You install it from a Docker container
โข Workflows as Code using YAML <--- this is awesome
โข Scales to millions of executions
โข It integrates with every cloud platform you've seen
โข Language agnostic (but I still like Python the most)
Here are the three things I recommend:
1 - Take a look at Kestra's live demo in their GitHub repo
2 - Build a simple workflow (it will take 5 minutes)
3 - Talk to your boss. Where can you plug this into your company?
Kestra is launching today on Product Hunt. Check the post below for the link and upvote them!
@joethomas238@dgo_go@dr_andrealove We're talking what, around 3mm doses per year? Not to be callous about them, but even if those 'tens of thousands' were supported as clinical data, it just doesn't add up. An actual correlation at that scale would show up in more than an anecdotal sampling of self-diagnoses
I know everyone is talking about Matt Gaetz but please don't miss this:
Georgia fired every single person on its maternal mortality review committee. Why? They didn't like that reporters found out that the state's ban killed two women
https://t.co/flwecfYeVJ