sedlich

And this made it to hacker news? Really?? KIT and Correctiv do censorship? Must be 1st April...

It is called: tiny!

Looks like we can do nothing but wait for the WHO analysis outcome...

Looks like the company has Swiss / British roots and not German. This link is interesting because of the pro/cons discussion at the bottom: https://en.wikipedia.org/wiki/NanoFlowcell

I was fascinated by this one: "The Case for a Learned Sorting Algorithm" i.e. invest in a little ML to sort faster afterwards ... https://dl.acm.org/doi/10.1145/3318464.3389752

Sounds like the last part of the book "Born to Run" by Christopher McDougall. How to catch an antelope. Explained by natives. Very worth reading!

Yes like Pfaueninselchaussee. A street but with very low traffic.

Good you mentiond this. I never saw this button. I thought 'gg' is sufficient...

In "What if CPU time is an issue?" we could also mention the nim language (and not only cython) because it compiles (not only) to C and feels like python.

Lichess is so awesome, it really changed my life. The features I use most: 1. The tactics trainer is incredible and fun. You get tactics ELO and the tactics stem from real games. Hence you can replay the game and see how this position arose. 2. The new tactics trainer from your own games is wonderful (but many other desktop programs had this before). 3. The analyse game function using stockfish is wonderful. Even continuously with a few lines + arrows in the game, you get immediately what you have missed. 4. The study section is awesome. I tried to build up a complete new opening repertoire with it in parallel to the leading chessbase tool. And guess what: It's free and a nice competitor to chessbase. All study pgns can surely be exported and imported to chessbase. 5. I really like the simul section. You find many dozen simuls a day. 25-50% of players are with 2000-2500 Elo. 6. And if you watch the lobby in the diagram mode you always find your right partner, right time, right chess variant. 7. And of course, the mobile version is also great. Keep on guys! We love you.

Does this remind me legendary paper generator SCIgen... Good to know as a CS teacher ;-)

Looks good. But editig and deletion does not work for me.

Congratulations! What a nice bunch of new features. Thinking all three models from the ground up has really payed off! Will check out the docker image soon...

You might be right. But I argue that this is often highly more significant in nmen-1women then nmen-1men. Havn't there been studies here in hackernews or cited by Cherly Sandbergs book to prove this?!

Why is it so difficult to have the empathy to say: ok every n'th day we switch to program B for her? Because too many mens clubs lack empathy and respect. It's that dead simple. (I am male).

Surely a good book. But it would be nice to see the complete TOC... Leanpub says it's 25% complete?!

What probably scares me most is, that managers think OO is in general a wonderful best practice you need to have in the company...

Nearly all DBs have timestamps. This patent is nonsense. Patent attorneys should also be payed for rejections.

Strongly disagree with the article as simplification always looks shiny. Start-Ups should sit back for a few hour and days and invest the work to answer some serious questions as these http://nosql-database.org/select-the-right-database.html (there are other cataloges like this one).

Then you get a little closer to the truth.

> Put it differently, what does ArangoDB, MongoDB, whateverDB bring that relational > databases didn't bring 30 years ago? (Let's leave MongoDB out here ;-) What I really love and what the relationals do not have are:

* Graphs as first class citizens! (try to view them in the web gui :-) * The tight V8 & JavaScript integration (FOXX is more then cool. Hope I will be able to use it from Clojure Script)

What you might find in earlier databases but not completely in others today is (my personal hitlist :-) : * The increadible amount of indices with even skip and n-gram! * MultiCore ready * Durability tuning (already mentioned by Jan) * AQL covering KV, JSON and Graphs! (Martin Fowler was quite sceptical that this model integration could work...) * And a MVCC that makes it SSD ready. * Capped Collections * Availablity on tons of OS versions as Windows, iOS, all UNIXes and even Travis-CI (how cool is that?!)

Try it. Might be fun in production compared to other famed NoSQL DBs.... (at least to me)