41–50 of 52 posts
For years I thought Jupyter Notebook was hardware, a specific laptop made for scientists. Am I alone thinking it's a confusing name?
side note: I hope everyone is aware of Jupyter Lab , the successor of Jupyter Notebooks -- it's been basically version 1.0 for over a year: https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f0...
Earlier quoted context omitted.
There are some details about this in the blog post. - no execution request is sent by the front-end. - code is stripped out unless explicitely stated otherwise. For deployment, we are working on several scenarios around JupyterHub.
your blog post still displays the code . Not sure if that can be turned off as well. Please consider the request for a Docker based output build in addition to whatever you do for jupyterhub
> with --strip_sources=False, input cells will be included in the resulting web application (as read-only pygment snippets).
So the sources are presumably not there by default.
side note: I hope everyone is aware of Jupyter Lab , the successor of Jupyter Notebooks -- it's been basically version 1.0 for over a year: https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f0...
...a lot of us are practically addicted to Jupyter Notebook Extensions [1] features and these aren't compatibly with Jupyter Lab and Jupyter Lab didn't add equivalent builtin features. Once you get used to little things like (a) auto-TOC/outline of current doc in a sidebar (with highlight for current running cells and other goodies), (b) auto scroll to end of output, (c) browser notifications for end of long running…
Is there any work on bringing Python into the browser like with JavaScript? At the beginning of the year, I was looking at the best way of making an interactive textbook either with Python (requiring a backend it seemed), or with JavaScript via D3. You can still use Jupyter Notebooks with JS; there's a library called BeakerX by Two Sigma that does this. I went the D3 route but it was hard to stay motivated when most…
Earlier quoted context omitted.
...a lot of us are practically addicted to Jupyter Notebook Extensions [1] features and these aren't compatibly with Jupyter Lab and Jupyter Lab didn't add equivalent builtin features. Once you get used to little things like (a) auto-TOC/outline of current doc in a sidebar (with highlight for current running cells and other goodies), (b) auto scroll to end of output, (c) browser notifications for end of long running…
I'm not sure what you mean. Jupyter-lab has extensions, such as the toc?
Is there any work on bringing Python into the browser like with JavaScript? At the beginning of the year, I was looking at the best way of making an interactive textbook either with Python (requiring a backend it seemed), or with JavaScript via D3. You can still use Jupyter Notebooks with JS; there's a library called BeakerX by Two Sigma that does this. I went the D3 route but it was hard to stay motivated when most…
There is indeed! I'll start with the one I founded: Anvil, which is an end-to-end Web dev system with Python (plus a drag-and-drop UI builder, and lots more good stuff): https://anvil.works Here's our version of how to turn a Jupyter notebook into a web app: https://anvil.works/blog/jupyter-notebook-to-web-app (tl;dr there's a library you can `pip install`. It makes a websocket connection to Anvil, and then your code…
https://www.pythonpodcast.com/anvil-web-application-developm...
There's a somehow similar project called Panel: http://panel.pyviz.org/ However it's limited to Bokeh widgets whereas Voila is framework and language agnostic. As I understand it Panel allows to start Bokeh servers from notebooks.
I'd also like to know how Voilà compares to Panel. The recent Panel announcement stated that it was widget/graphing library agnostic and mentioned plotly and Altair explicitly. I have not used it myself though.
There's a somehow similar project called Panel: http://panel.pyviz.org/ However it's limited to Bokeh widgets whereas Voila is framework and language agnostic. As I understand it Panel allows to start Bokeh servers from notebooks.