mapto

Just trying not so confuse realistic testing with self-deception :) Not convinced testing with synthetic data can pretend to be similar to a production environment.

It is not realistic to replicate a production setup in development when you're working with sensitive user data. I've worked in different contexts (law enforcement, healthcare, financial services) where we've had complicated setups (in one instance including a thing called pre-staging environment), but never would a sizeable team of developers have access to user data, and thus to a realistic setup in terms of size, let alone of quality of data.

I'm sorry, but doesn't sound very convincing. The strongest (reiterated) argument is "venv is standard", but so is docker.

Thanks, corrected

Thanks. I didn't know this and it is very useful information.

Even if so, your unreasonably pessimistic assumption is that this would be an exclusive source of revenue. Once content is created, cross-posting is free.

Thanks for doing the maths. Actually, it does show that there's a small, but unexploited market here. $2-3K a month is a very good income for the most of the world. And this doesn't have to be the only revenue stream.

Could you elaborate, please. I'm genuinely interested

Looks exciting, and the basic example in the user guide seems more intuitive than pandas. Looking forward to see how it's going to integrate with bokeh and plotnine, though.

I guess you misunderstood my providing illustrative examples in parentheses. Replace or remove the examples, the argument is still valid.

In another subthread they've pointed out that processing food also changes its protein density, most obviously by water transfer.

This is not a problem with the nutrition of foods, it is the metric that is poorly designed. One more argument against the chart

Your seem to insist to twist this towards vegan wars, but this is you. It's not the graphics, it's not me.