Seanny123

> Unfortunately, the last step is a “draw the rest of the owl” moment. For us, this is deeply entwined in our collab layer, so we don’t have helpful code to share here.

By "the last step" here, do you mean the "do a three-way merge yourself" step? If you do, I would still be interested in hearing about why its "deeply entwined" even without sharing code.

> The main input cost is green hydrogen

I wasn't aware that was the current consensus, due to a lack of knowledge around this domain. Prometheus Fuels' process to generate ethanol doesn't see to require green hydrogen as an input step, so I assumed other production processes were also going to get around needing that input?

Don't feel obligated, but I would appreciate a quick link to something I could read about green hydrogen uses other than "burn this instead of fossil fuels"

Would for you to expand more on why you're bullish on synthetic hydrocarbons (also called e-fuels or power-to-gas). Is there a specific company you're bullish on, such as Prometheus Fuels or Terraform Industries?

Or with solar in Arizona or some other sunny place, as proposed by Terraform Industries.

What are some examples of the "enormous tool stack" required for XML? I ask, because I came into software development after everyone adopted JSON. When I do need to parse XML, there was a library I could use, although I will admit that needing xpath was a bit annoying.

Ray is a bit Python-specific, so I assume they have reasons to stick to Argo's language-agnostic approach?

I do find Argo's turing-complete language implemented in YAML painful, so I am also curious.

I don't understand type systems very well. When you say "check correctness" do you mean something beyond static linting with type-hints, like in Python? Or do you mean something deeper, like in functional languages like Elm and F#?

Also, is there always a trade-off between types and flexible meta-programming? Like, OCaml has meta-programming capabilities, but they make type-checking way harder, according to my PhD friend who's written extensively in Scheme and OCaml.

I mean, I'd like them to work like Python, Ruby and TypeScript, but you're right to say I can't describe why I want this.

Is there some guide I could read about structuring a large Julia project? It was pretty easy to intuit with Python, wherein I would put related files in a folder. But with Julia, everything is everywhere and I'm baffled.

   Location: Hamilton, Ontario, Canada
   Remote: Yes
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   Technologies: Python, TypeScript, MongoDB, SQL, Machine Learning
   Résumé/CV: https://www.dropbox.com/s/rg9acwslmgqvzvy/ds_resume.pdf?dl=0
   Email: [email protected]

I'm a Data Scientist with 5 years experience researching and implementing Machine Learning algorithms (time-series forecasting, reinforcement learning and others) turning theoretical insights into meaningful applications.

As someone who also completed a Master's thesis, I really hope that feeling goes away at some point.

"An Absolutely Remarkable Thing" by Hank Green was delightful and insightful on multiple levels. It is an excellent dissection of internet fame and punditry, while also being funny as hell.