How to import ipynb from URL?

[n8henrie]

Hi all, thanks for a really interesting project.

Today I went bonkers trying to load https://raw.githubusercontent.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/01-g-h-filter.ipynb into Carnets. Does anyone have a good strategy for loading ipynb files from the web?

I eventually figured out that I could !curl $URL > file.ipynb, but prior to that spend a fair amount of time trying !wget, %run, %load, and iOS Shortcuts (which kept renaming it foo.ipynb.txt no matter what I tried).

Is there a more obvious way to do this that I missed?

EDIT: I think the -O (--remote-name) option is probably the easiest bet:

!curl -O https://raw.githubusercontent.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/master/01-g-h-filter.ipynb

[holzschu]

Hi, for that specific case, I would go with "clone the repository using the WorkingCopy app", then work in the repository folder using Carnets (and Carnets "openFolder" feature on the repository directory).

You can also use the "Download Zip" feature from https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python, then uncompress the Zip and work inside the downloaded directory.

[nlg35]

Hi, For persons looking for a downloading code, may I suggest this :

If you can download a notebook (or any file) by internet to Carnets, you can do it by python code.

First in a cell of Carnets, install the library : !pip install requests

Then in another cell of Carnets :

url = "https://your_path/filename.ipynb"
r = requests.get(url, allow_redirects=True)
open('filename.ipynb', 'wb').write(r.content)

The file is downloaded to your current directory (in Carnets). And then, you can open it.

I tried with a heavy notebook containing plenty of embed pictures, it worked very well.

Hope it can help. NLG