RocketSyntax

i use diff messaging pretty much everywhere based on the medium of communication and audience

so every time i change a variable i train my neural network? yikes. non-linear <3

front end programmers coding for data science use case <x3

Hard disagree.

rent.

I think the author's point is that every data transformation can be represented as a neural network. Neural nets are just many degree polynomials.

I was blown away that the service has been around for so long yet the process of installing packages was so manual

Product is already market-focused. As a career product manager that has also worked as a software engineer and a salesman - I find your article offensive and polarizing.

I like it =)

lots of airports do duty free. it's a good way to get regional hooch on the cheap.

sure, some of it is wishy-washy, but i've made adjustments based on it (no caffeine after 11:30am), and my health has dramatically improved.

now i'm dreaming every night AND waking up with programming solutions because of it.

iceland taxes the heck out of it, and there are only a few stores where you can buy

appdirs

would love to see tighter integration with some GitHub Secret/ Action publishing

my guess? they all need better online/ app presence and they are realizing that their photo-realistic logos look like trash on the web

Speed is a cop out. Engineers love to focus on performance.

it's a bit crazy how easy it is to upload executables

Is "oneAPI Deep Neural Network Library (oneDNN)" an alternative to ONNX?

jupyterlab github issue advocating for documenting research: https://github.com/jupyterlab/team-compass/issues/121

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when i try to open this dataset on nuclear power plants

https://www.nrc.gov/reactors/operating/oversight/list-of-ins...

<Error> <Code>BlobNotFound</Code> <Message>The specified blob does not exist. RequestId:b1a868fe-701e-0015-19e8-fc1879000000 Time:2021-02-07T00:27:49.0821751Z</Message> </Error>

The data they gathered was less than 1% of the genome. Don't buy in.

I'd say PO isn't so much involved in determining the "what" to build, they are moreso executing on it. engineering manager is more of the team's boss

sounds like your org doesn't understand what product really does

Depending on where your product is in its lifecycle, you need to rotate between all 3 activities. You shouldn't be doing the same thing all the time.

After a big build, I'll tell the engineering team, hey, the requirements are going to be fuzzy for a while. look the the engineering manager while I work on launching this thing w commercial teams, and figuring out what we should build next. when that's done, I'll tell the commercial team the same thing about my commercial support

Also, this is not new. It's been around for yrs

Maybe if you ran the test 100 times and did some pileups by position it would be usable in comparison to WGS

Hmm. I am checking dtypes via `np.floating` and `np.signedinteger`. What will this change to?

It's okay. Check out Parallel Worlds.

I'm saying AWS offers EMR and MSK. Which puts Databricks and Confluent in a weird spot.

This feels like a spin? Isn't AWS biting hand that feeds them? They need a win-win strategy for open source devs. It's hard enough to compete with their version of your service (spark, kafka) without them forking your project. what's next, are they going to fork spark and kafka?