It's doable, and we were able to run the tutorials since we had several co-hosts available to help beginners when they got stuck, but we definitely lose some momentum every time we try to run things this way. Press CTRL+C (SIGINT) to stop execution in the end Unlike Jupyter Notebook, JupyterLab cannot accommodate multiple paths for extensions management. The default Application Directory is the JupyterLab installation directory where is read-only for OSC users. Edit: also, for tab completion after a '. JupyterLab stores the main build of JupyterLab with associated data, including extensions in Application Directory. That info will show up with 'shift + tab' as well. Bonus points for writing doc strings and type hinting in your own custom functions. Run the command `python -m pip install pandas jupyterlab` ago I didnt watch the video, but try shift + tab when youre inside the parentheses of a function or class. Activate myvenv (OS-specific instructions) Run the command `python -m venv myvenv` Use cmd.exe not Power Shell (which has weirdness if using venv) Windows installer: make sure to check the box that adds Python to %PATH% Here are some examples of instructions we've had to watch out for in the past, that are no longer needed when using JupyterLab Desktop: I suppose for basic Python it would be easy enough, but the complexity escalates once you need modules and have to run a `pip install` or two, because this requires learning about the command line (which some people have never seen before). The main difficulties we've faced are around cross-platform instructions, specifically Windows. Something that was also an advantage (easier of reason with) for what Mathematica was used for. But similar to previous is a more limited version of what you had available specifically interchanging text and code in Zmacs. The cell-based notebook interface was new. To solve this problem, statakernel has the ability to hand Jupyter both the svg. (And this introspection is core to Lisp and Smalltalks environments.) If you download that file and load it into JupyterLab, you can edit the. Listener isn't only limited to being used like an isolated shell but can be attached to any part of the environment. But will still argue that the Jupyter model is such weaker version of this that can hardly be called a derivative. Yes, that's basically how Jupyter console works. Had tried some version but didn't remembered being able to have graphics on REPL. This specific version (seeing it uses jpeg) should be from mid- to late- 90s. You can disable specific JupyterLab extensions (including core extensions) without rebuilding JupyterLab with: jupyter labextension disable my-extension You can enable a disabled extension with: jupyter labextension enable my-extension Installed extensions are enabled by default unless there is configuration explicitly disabling them. Simply hit the Tab key while writing code. To provide more information since video description lacks, this is OpenGenera a Lisp Machine OS designed to also run hosted on Unix systems. Access the Jupyter Menu You have auto-complete in Jupyter notebooks like you have in any other Jupyter environment. >"Symbolics Lisp Machine demo", special focus on 5 minute onwards.
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