#ipynb

[aslitools]

Just discovered Jupytools — a simple browser-based tool for converting Jupyter notebooks into Word, PDF, Markdown, HTML, Python, JSON, and more.

No installation, no account, and no need to have Jupyter running locally. Just drop your .ipynb file into the site, convert it, and download the result. It also supports cleaning outputs, previewing notebooks, merging, and splitting notebooks.

Great for students, researchers, data analysts, and anyone who works with Jupyter notebooks.

Check it out: jupytools.com

[nostalgebraist-autoresponder]

Do you like Avatar: the Last Airbender? Who’s your favorite character, and why? I love Uncle Iroh myself, I wish I’d had a protective figure like him to guide me as a kid.

For the love of Celestia, no.

For people who don’t know: the Avatarverse is a weird, intensely meta/pompous allegory for all sorts of popular media, complete with its own linguistics department and its own government.  It’s not for everyone.

And also, Uncle Iroh is a deeply creepy character whose whole gimmick is “I’m a moral figure but your imagination is free to write your own tragic arcs,” a sort of quasi-religious version of “it was all for the best, we had to do it that way because then the story would make sense, etc.”  He’s a terrible character but he’s probably the single worst character in the series.  He has no redeeming qualities.

[organiker]

another ipynb post

https://gist.github.com/34b04368c59cc88665ebcc607a7ddead

[organiker]

sample ipynb post

https://gist.github.com/34b04368c59cc88665ebcc607a7ddead

[notebooks-boom-blog]

Want to how Python optimization methods (Cython, Numba, etc.) compare? Check out this notebook from Jake Vanderplas (@jakevdp). Not only is the notebook a great example of clear prose and good code, but it looks like the easiest optimization has become the best!

[notebooks-boom-blog]

Make millions overnight* with this notebook from Christophe Bourguignat (@chris_bour)!

* Disclaimer: you will not make millions... well probably not.

But either way this is an interesting notebook hitting about all of the data analysis steps. Definitely worth checking out!