vikiomega9

thanks! Is there a favourite resource you've come across?

Can you tell me a bit about your background and your journey towards writing WASM, and learning to write a complier? (for context I never took a compiler course, vaguely know what lex and yacc are)

I haven't used github in a while, when does an unclean merge happen? When two people merge their branches at the same time?

How much of an impact would a Biden administration have on helping with climate change? Beside policy changes would they support moonshot research?

Perhaps we don't need as many overconfident risk takers, and I think of this whenever I read about the quiet millionaire or people who have a flourishing business that is not sexy.

Insane that I never tried looking for different diff tools, thanks for the recommendation!

Are there specific cuisines? The Indian options are pretty bad imo, there are a few good places but overall not as good as the South Bay.

Could you share more details about your case. Happy to email you or chat elsewhere.

You could drop the OOP lecture and leave detailed notes on the course page instead. I'm not arguing for OOP v FP or anything like that, just that for either (and other) paradigms a specific testing approach might be better suited for this course. Talking about the complexity v. safety trade off might be better suited.

I don't see a focus on testing in this course. Was that by design? I feel like a lot of design out there forgets this important implementation detail.

That's just the base pay right?

I always wonder about this. Why do we choose to solve a problem with another. Something about individual freedom or something?

1. This blog post 2. https://www.ribbonfarm.com/2009/10/07/the-gervais-principle-... 3. https://en.wikipedia.org/wiki/Theory_of_the_firm

I don't know the others :)

You'll need to say more :)

I would love to hear about other models of the world that are employed to think about it. My view is that there's about 5 mental models given how mundane human life is in general (I'm speaking in hyperbole of course).

I think it's a little disingenuous to call America a heterogenous society. While the share of population for different ancestries[1] makes it look heterogenous, a large part of the equation is cultural homogeneity. American culture is derived from its anglo history and I'd argue economic and political pressures have forced "model minorities" to forgo their heritage.

[1] https://en.wikipedia.org/wiki/Race_and_ethnicity_in_the_Unit...

Is there something specific about Vanguard that you use it for, I can buy ETFs on e-trade and other platforms right?

As a tangent, is there a Firefox focus equivalent for the desktop?

Brilliant. There should be some way to incentivize lite pages, even if only for news websites.

If you're thinking about map-reduce, the original Google paper talks about associativity.

Which ones?

There are steps to learning and copying is one of them, and if someone is willing to acknowledge this that's a win. The problem is when people decide someone else has done the heavy thinking for them and they just have to copy-paste mental models, as you're alluding to.

Sorry, could you be more specific, do you mean his current work on Graph NN and representation learning?

Could you point me to some of these studies, ie. one that's a good starting reference.

Location: San Francisco

Remote: No Willing to relocate: Yes, India

Technologies: Java, Python, Go, Machine Learning (TensorFlow, XGBoost), Optimization, Big Data(Spark/Hadoop), Streaming (Beam/Flink/Kafka), Functional Programming (some Elixir, Go)

Résumé/CV: https://www.linkedin.com/in/sarmatangirala/

Email: tvssarma.omega9@gmail.com

I currently work as a Machine Learning Engineer, with end-to-end product development that utilizes Machine Learning.

That's not quite true, they let go of multiple strong performers.

They are at Lyft which tries to solve hard problems like Pricing and Dispatch optimization.

For other, perhaps smaller, companies you still need a Data Analyst or someone who can read data and make sense of it, but not a Data Scientist who works in a silo and has a sexy job title.

Great advice on immutability, separation of concerns/domain logic, and side effects. I think modern languages or tooling should somehow enforce this. I think a lot of code will be better off for it. Specific patterns/zen (like another comment below) is what helps.

I work for Lyft and was part of this cut. I truly worked toward fixing things, and I don't want to sound salty here even though will, there's not much going on with Lyft or Uber to save in terms of tech. It's shoddy and useless. For the most part if Amazon got into the game now, and with their flywheel, they could eat Lyft alive and wait for Uber to bleed dry.

From your experiences, tell me more! How could this problem be avoided? How does one sniff out such glut?