mapio

The jp²rt package allows to estimate retention times related to untargeted metabolomics by LC-MS/MS analysis for hundreds of thousands of molecules given an even small sample of known experimental retention times.

This is the teaching material I collected over ten years and more of lecturing programming courses and examining students. Unfortunately (given the international audience of HN), the texts are in Italian only — it's impossibile to teach freshmen courses in english in Italy. I hope that some Italian (speaking) user of HN can find this useful.

Sounds interesting… can you provide any reference? A technical/scientific paper, a book, a Wikipedia entry… I was unable to Google it using both "Backward Drawing" and "Backward Mapping" as keywords.

Beside the fact that the square fits the unit square and is not infinite at all, I'm not sure to get what you mean…

Thanks, I'm flattered by all your positive comments!

Should be fixed now https://github.com/mapio/programming-with-escher/commit/1f04...

Ahahah, no… it's just that I'm terrible with typos. Thank you for reporting it, now should be fixed https://github.com/mapio/programming-with-escher/commit/a102...

Actually it is, at the end of the first section https://mapio.github.io/programming-with-escher/#Programming... the sentence reads: "The source notebook is available on GitHub (under GPL v3), feel free to use issues to point out errors, or to fork it to suggest edits. Square Limit and tiles."

Yes… all you need to run it is a plain vanilla Python 2.7 installation. HTTPServer is part of the standard library. The customer will need just the zerve file and will be able to run it (with Unix like OSs for sure, I've yet to test if double-click-ing on it in Windows will be enough).

Tristo mietitore is part of a suite of tools I wrote (https://github.com/mapio/see-you, and https://github.com/mapio/see-you-viewer) that can be used to setup and run a programming class in which students get (almost) realtime automatic evaluations of their solutions to exercises.

Give a look at my today's lecture results https://santini.di.unimi.it/tmp/labprog/laboratorio_01/resul...

Using this software the teacher can have a valuable feedback on what exercises the students find easy, or difficult and, on the other hand, students become very competitive and get more productive than usual!

[The exercises texts, unfortunately in Italian only, are available here https://github.com/mapio/labprog-infomus]

Isn't it http://www.supergenpass.com/?

:-)

Cool, I'm totally new to d3, but it seems very very interesting. It's nice to know that a good layout plugin is available. Thanks for the info!

I'm flattered (and blushing) :-)

If I open the GitHub page on my iPhone I can see the graph animating. It's just an animated gif, so it should not really be a problem of Javascript at all (there is none involved). On the other hand, if you are trying to use the Jupyter notebook, I've no idea if it works on iPhone.

If you have a specific issue, can I please ask you to report it on GitHub Issues?

Thanks!

That's really nice! I like graphviz layouts because they use curved arcs (that sometimes make graphs look much better). How difficult would be to use it with d3?

No, I am dumb and should comment the code (and provide few usage examples). I wrote it in a hurry yesterday night, it was just an hack and it ended up on the frontpage of HN.

The `gvanim.jupyter` module is actually using SVG, so that would be awesome! Would you like to contribute? I'll be glad to accept a pull request :) I have opened an issue https://github.com/mapio/GraphvizAnim/issues/3 to keep track of your suggestion.