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Ok, I failed in basic usage: Entering nbterm, I assumed some standard key bindings -- None seemed to work. Neither Ctrl-C, Ctrl-D, Ctrl-x ctrl-c, escape q, esc

Ok, I failed in basic usage: Entering nbterm, I assumed some standard key bindings -- None seemed to work. Neither Ctrl-C, Ctrl-D, Ctrl-x ctrl-c, escape q, escape :q, ... seems to work. So off to google: Escape Ctrl-q should work. But does not. Ok I'm stuck, let's at least get 1+1 to work. So entering 1+1 and .. hitting Enter? Shift Enter? No. Ok, command mode, Ctrl E.. aaaaand it's stuck. Looks nice but I just don't seem to get it to work using anaconda on macos..

de6u99er 5y ago
The project's README might help. https://github.com/davidbrochart/nbterm https://github.com/davidbrochart/nbterm
- Infernal 5y ago
  To be fair the poster you’re replying to seems to have run the correct commands indicated by the README, unless I’m missing the same thing they are.
- mark_l_watson 5y ago
  Thanks, just what I was looking for. I used to use a matplotlib backend that worked with ITerm2 for coding in a remote server (standard technique, that I also cover in my Hy language book). Adding Nbterm would also be useful. Off topic, but it is sometimes just (much) better to do development on a remote server with much more compute and faster Internet connections.
  - prionassembly 5y ago
    I'm curious, what version of Hy are you targeting in your book?
    - mark_l_watson 5y ago
      The latest public version (pip install Hy). I don’t generally install from the GitHub repo. I know that Hy is no big deal, just a Lisp skin on top of Python, but I really enjoy using it. Hy is an example of “done” software: it was written years ago, and just does what it is meant to. I have noticed comments on Reddit about Hy not being actively maintained, but as I said, it is “done.”
      - whitten 5y ago
        In my field, I hear the word "legacy" used for applications that just work, and don't require a lot of tweaks because they handle the use cases that come up commonly.
- fzimmermann 5y ago
  Yes, it would help if those key combinations would work (even though they are still at least unusual). The quit combination does not work and neither does evaluating a cell. Does anybody have luck actually getting it to work? Edit: The issue is using a new environment without ipykernel installed (not a dependency of the conda package). With ipykernel, I can exit nbterm and even evaluate cells

de6u99er 5y ago

The project's README might help. https://github.com/davidbrochart/nbterm https://github.com/davidbrochart/nbterm

Infernal 5y ago
To be fair the poster you’re replying to seems to have run the correct commands indicated by the README, unless I’m missing the same thing they are.
mark_l_watson 5y ago
Thanks, just what I was looking for. I used to use a matplotlib backend that worked with ITerm2 for coding in a remote server (standard technique, that I also cover in my Hy language book). Adding Nbterm would also be useful. Off topic, but it is sometimes just (much) better to do development on a remote server with much more compute and faster Internet connections.
- prionassembly 5y ago
  I'm curious, what version of Hy are you targeting in your book?
  - mark_l_watson 5y ago
    The latest public version (pip install Hy). I don’t generally install from the GitHub repo. I know that Hy is no big deal, just a Lisp skin on top of Python, but I really enjoy using it. Hy is an example of “done” software: it was written years ago, and just does what it is meant to. I have noticed comments on Reddit about Hy not being actively maintained, but as I said, it is “done.”
    - whitten 5y ago
      In my field, I hear the word "legacy" used for applications that just work, and don't require a lot of tweaks because they handle the use cases that come up commonly.
fzimmermann 5y ago
Yes, it would help if those key combinations would work (even though they are still at least unusual). The quit combination does not work and neither does evaluating a cell. Does anybody have luck actually getting it to work? Edit: The issue is using a new environment without ipykernel installed (not a dependency of the conda package). With ipykernel, I can exit nbterm and even evaluate cells