daturkel

Speaking as a data scientist and not a software engineer, I think Jupyter is incredibly valuable and I've been excited to see it develop pretty quickly in the few years I've been using it.

I agree with you that it's not a tool for writing software. It's probably best thought of as a really good REPL. And there are tons of uses cases for just that (at least in my discipline): analyzing an experiment, pulling data from a DB and plotting it, sharing boilerplate code, sharing analyses.

Sometimes I use it to test something out in isolation—something that I want to see functioning outside of the larger context of a production system—or to run a local version of an application, but that's not my primary use case.

You correctly observe that it's not a good fit for the tasks you have at hand, but I hope the above illustrates that there are lots of tasks that it's a great tool for.

This article is oddly similar to the Daring Fireball article that just came out and was just posted on HN. Both talk about how, 10 years in, the iPad has failed to revolutionize computing and both complain about awkward UX.

https://news.ycombinator.com/item?id=22166421

https://daringfireball.net/2020/01/the_ipad_awkwardly_turns_...

For Mac, I'm a big fan of Numi. You can assign results to variables, use those variables in more calculations, and if you go back and edit a definition, the changes immediately propagate to any other expression using that variable.

https://numi.app/

I think the same thing happened with Digg -> Reddit. People got sick of Digg and moved to the underdog, which has since grown to be much bigger than Digg ever was (with the pros and cons of that growth).

I would argue that the platform itself is kind of screwed when they try to maintain quality at scale. SO has pretty heavy handed moderation (by SO and self-imposed by power users) whereas Reddit has in many ways remained very anything-goes (with some inevitable limitations), and both receive flak. I think finding the balance is much easier said than done when you're at that scale, which is why when a newcomer arrives with a much smaller user base it always seems so much better.

I've used Fleksy for over a year and wasn't aware of that feature. The in-app purchases are themes which I don't need. If you don't open the settings, you would never know these upsells existed. It's a great keyboard and you shouldn't be put off by the IAPs—they're completely optional.

Check out Wikimaze: http://wikimaze.appspot.com/

I personally use Numi, which is very similar. I like the ability to assign variables and reuse them (and change the value of the variable on the fly, instantly redoing all other calculations).

https://numi.io/

As far as I'm concerned, Pinboard is the most reasonably managed digital product I pay for. No feature creep, no bloat, no overthinking it.

While Maciej notes accurately that death comes for us all, he's already outlasted the theoretically more powerful competitor that was Delicious.

I would say "I'm excited to see what's next for Pinboard," but I suspect the future is all it needs to be: The service will continue to function as designed, and that's all I really need.

I reached out to the author because I've been a user of the app for several years, but I haven't heard back (this was only a few days ago). I'm hoping it can continue in some form.

It is sincere. If you are working with structured documents, then accessing only an arbitrary line of the file in a performant way (especially if the documents are large) is a useful task. I see it also has facilities for handling CSVs, where its unlikely the user wants individual lines but may in fact want "columns."

I also have a 2015 MBP at work, though newer hires have the ones with the new keyboard and touch bar, and while I primarily work at my desk with a keyboard plugged in (the basic apple keyboard, no numpad), I certainly go to meetings and work in other rooms that require me to use the onboard keyboard all the time, as do my colleagues.

Love this, and great job with the test coverage too, I might use this in a project I'm working on right now. Is it effectively feature complete or do you have plans for more?

Making baseless, sweeping generalizations is below the level of discourse expected on this site.

I work on a data science team that's growing pretty aggressively. I also frequently hear from recruiters hiring at companies big and small for analyst and scientist positions.

I'm not sure what it would mean for days science to be "just hype." I see DS work on this website alone all the time.

We've started using DBT at my office for ETL into our data warehouse and it's a godsend. Being able to add tests to tables and views, built in documentation support, built in DAGs are all great, and the folks at Fishtown who make dbt are super responsive on their community slack channel. (Also it's open source.)

One pain point is the integration of non-SQL (e.g. Python) jobs into the flow. DBT only manages SQL scripts, so you can lose some of the elegance when you have to glue some external jobs to it. That being said, the development is pretty rapid and as I mentioned the support is great, so I'm excited to see where they go.

Do you have any examples of things due for a refactor? As another commenter mentioned, mathematical notation and language have evolved heavily over time.

When you talk about abstractions, what in particular do you mean? Math is in many ways about describing objects through abstraction.

I'm also from the US and visited Prague last fall. The tour guide encouraged us to try Kofola and also had a funny urban legend story about it's origin (I forget what it was). I tried it and found it...not so great :p

I don't care for Confluence at all. It feels engineered to death (as does Jira, for that matter)—it can do everything, but nothing well. I've been trying to organize my team's Confluence space but I'm constantly confused by the software which seems to be working against me.

I think my issue with Atlassian software is that it feels so unopinionated—they've added every option and customization because they have such a large enterprise customer base with unique needs—and the result is that it becomes byzantine and unfriendly because it can do _everything_.

I believe you, and I've seen what appears to be the same effect first-hand, but it has not been replicated in controlled environments. Here's a non-scientific article which cites several studies which failed to find a correlation: https://www.thecut.com/2016/08/the-sugar-high-is-actually-ju...

Your last note about kids being wired on sugar, while pervasive and seemingly anecdotally supported, has not been proven out in the literature. Sugar has not been conclusively found to cause hyperactivity.

Do you have any sources for your claim that Bitcoin is used for large Russian/Saudi assets? It seems like the volume of BTC traded for illicit purposes is large in aggregate, but I'm not sure I've seen evidence of individual transfers being big. There are many ways that bad or unscrupulous actors can transfer money now that are actually less risky than Bitcoin.

This is a little bit of a silly sentiment. Not everyone wants to use emacs as their daily planner, esp. since it doesn't come with cross-platform syncing or modern GUI out of the box. It would be like saying "It's slightly amusing how often people reinvent the Model T" every time a new car was announced.

Similarly, statistical distributions in SciPy can be used in "frozen" form (pre-parameterized) or in a more general form where you supply the parameters at the same time you are requesting some attribute it the distribution. Seems to me to be a situation where one is useful if you expect reuse, and the other is useful if you don't.

This is a great site I've explored for a while now. Some of the entries are shockingly detailed. Majora's Mask, for N64, for instance has a very long and organized page (https://tcrf.net/The_Legend_of_Zelda:_Majora%27s_Mask) as well as separate pages for the debug and prototype versions (https://tcrf.net/Proto:The_Legend_of_Zelda:_Majora%27s_Mask). The site Unseen 64 (https://www.unseen64.net/) has a similar collection of info on betas/cancelled games.

Many people don't like electronic viewfinders either. They've gotten better, but it's not quite the same, at least not yet.

What makes you think that all written law is unambiguous?

Their reporting is less likely to be seen as a public good, but I imagine that paparazzi are charged for trespass and/or assault with some frequency. Just as not all trespass is a like, not all reporting is either. I think a judge would be more sympathetic to trespass that reveals, say, prison corruption than a celebrity affair.

A) this was not a midlevel management position.

B) Your life is made more convenient daily by people who do jobs that you don't want to. This guy has the nerve to _like_ his job and that bothers you?

The article states that the guy had a rocky background and then the job had quickly brought him newfound accomplishment—but even if he was the heir to a major bank and a Mensa member, why can't he enjoy what he's chosen to do?

I loved browsing the strictly platonic section looking for sweet/bizarre/novel posts, but it was definitely full content that was _not_ platonic.

We seem to be expecting technology to allow us to cast media literacy to the wind, but that's not going to happen. I don't happen to be a google news user, but it strikes me as providing the opportunity for the user to either remain in an echo chamber (for any given story, you can read the article from your outlet of choice, for example), or to diversify what you consume. Technology is one tool that people use to spread disinformation, propaganda, and bias, but it's just a tool. Similarly, technology is one way to fight it, but it's just one way—I think we could all use a reminder on how to be a savvy consumer of news media. Most people don't seem to appreciate the difference between an outlet covering a story versus breaking it, or how sourcing and citing work, the difference between opinion articles, analysis and reportage, and so on.