Matt McKay

The driver versions under docker are: ``` NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version: 12.3 ``` and when using the native VM ``` NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version:...

@kp992 any ideas on why the jupyter kernel is dying when running directly on the VM but the docker container is OK? - [x] @mmcky can we host the docker...

- [x] update `environment.yml` to include `quantecon-book-theme==0.2.8` Actually this is taken care of for automatic minor version updates: ``` - quantecon-book-theme>=0.2.5,

@mmcky working on using `github containers` to store the docker container here https://github.com/QuantEcon/lecture-python.docker/pull/4

@AakashGfude is there a package I need to add to support the image conversion?

@AakashGfude do the image file references need support for `folders`? ``` ../_build/jupyter_execute/working_with_text_52_0.png ``` or is this directory a flat collection if images?

@kp992 the fetch from github containers is about 10min. That is pretty good right?

@kp992 it looks like these instances may have CUDA=12.3 installed. Our docker is configured for CUDA=12.5 so there are a lot of `ptax` warnings. We may need to adjust the...

@AakashGfude I just ran this branch locally -- it seems to build the `pdf`. Perhaps the `images` are not getting "written" in the server environment (or saved from the execution...

@AakashGfude I have opened https://github.com/QuantEcon/lecture-datascience.myst/pull/194 to update `_toc.yml` into `jb-book` format for better `pdflatex` outputs. - [ ] merge https://github.com/QuantEcon/lecture-datascience.myst/pull/194