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galacticdessert

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The tone in the article is so off. We are clearly headed for a climate disaster, being whiners about having to manually de ice your windshield is so very childish.

I understand there is a broader topic of regulators impacting what can and can’t be done but isn’t that just having a government?

Buy well, buy once 3 years ago

Small and efficient ICE engines are as proved a technology as it gets. If you end up buying a V6 engine now it is not because of how good or reliable the engine is, it is either nostalgia or status symbol. So, please don’t and be more mindful of your emissions.

Orkut 4 years ago

Oh I soooo miss Fotolog, was a great concept

As I consultant that works extensively in Excel, I understand your point. The lack of decent syntax highlighting, auto-indentation or “IDE mode” instead of the formula bar can be painful. Especially when working with models developed by others.

On the other hand, you can see it as a feature. It forces you to keep your formulas short, break them down in helper columns and overall make your logic cleaner. If you are writing a 4 line long formula, you are doing something wrong. Sytax highlighting would still surely help, but it is not a replacement for clean modelling.

Absorbing large amounts of CO2 happens every second since 2-3 centuries at this point, and is the main driver of ocean acidification and subsequent coral bleaching, loss of wildlife, etc. If the mentioned process could "recycle" the CO2 needed for lime production, then it could be a big win for a very hard to decarbonize sector.

What is still to be checked is how more expensive this lime will be, and how it will stack up compared with traditional limestone+carbon tax

I feel like when you need to create value and make a product, better to do it in a language you know. Product value is not directly proportional to product performance or raw HTTP request serving time.

I for instance know a bit of F#/C# and Java, but would probably pick Python to make a new product just to remove that mental barrier of not having my lack of language knowledge in the way of things

Agree this would be awesome. I reckon you could obtain something similar with pandas with pd.read_sql("<query>"), but a dedicated SQL cell akin to markdown cells would make it much more pleasant

Don't know about the comment author, but in consulting huge excels are quite the normal. Especially when dealing with data driven domains such as energy

The article feels somewhat half finished: it introduces the topic, an implementation, and walks the reader some examples. It lacks the so-what, why and what ASP can do for me concretely, and where I can find more.

Still, though, I am fascinated by the subject. These days I am toying with an idea that revolves around optimal scheduling ofenergy consuming asset based on energy prices, external market inputs and business rules (such as this asset must be on for at least 10 hours per day, or temperature control, etc.). Would ASP help here in working towards an optimal solution in almost real time?

py-spy seems also very interesting, thanks for linking it. I always found cPython to be quite difficult to work with, and usually reverted to line_profiler or some sort of UI for cprof files. The main added benefits of pyInstrument to me is the high signal vs noise ratio, as it is evidently clear what is taking the most time while retaining the option to dive deeper.

I am also curious to try out the on-demand profiling integration with Flask, seems like a cool thing to have running in the background for my side projects

Any thoughts on the development experience of this versus the Elixir based Nerves project, putting aside obvious platform differences (i.e. the BEAM being concurrent and resilient by design vs JS having a ton of libraries, etc.)?

Totally unfamiliar with Ada, but reading below it seems that type safety and concurrency are big selling points of it. In which way would this better than a modern functional language, say F#?