If you are interested in a generic solution, hibernating kernels could be proposed in a Jupyter Enhancement Proposal[1]. However, supporting this across operating systems may be a challenge (CryoPID or BLCR could work on Linux, not sure about feasibility on Windows) and would require significant investment and resources to maintain.
For now, you could either: - use a kernel-specific solution such as dill's dump_session and load_session for Python kernels (as discussed on SO [2]), or - host your jupyter-server (or kernel) on a remote machine which would stay on even when you turn your client/workstation off (of note JupyterLab Desktop [3] exposes a friendly GUI for connecting to remote jupyter servers) [1] https://jupyter.org/enhancement-proposals/README.html [2] https://stackoverflow.com/questions/34342155/how-to-pickle-or-store-jupyter-ipython-notebook-session-for-later [3] https://github.com/jupyterlab/jupyterlab-desktop Best wishes, Michał Krassowski https://github.com/krassowski On Thu, 18 May 2023 at 09:49, Jason Moore <moorepa...@gmail.com> wrote: > The basic idea is to save the results of a long computation to a file and > then skip the computation if that file exists. You can then delete the file > if you want the computation to run. Many people use the pickle module to > save Python objects to disk but there are thousands of other ways to manage > caching information to disk. > > On Thu, May 18, 2023 at 10:44 AM Luca Marconi <l.marco...@campus.unimib.it> > wrote: > >> Hi Jason, >> thank you for your quick answer. >> >> Are there any simple ways to do what you suggest? >> >> Otherwise, could I open the Jupyter Notebook on Google cloud to prevent >> the re-run everytime? >> >> Or, are there any other possibilities? >> >> Unfortunately, I have been working with Jupyter from few weeks, so I am >> not expert in how to optimize this issue. >> >> Thanks for any help. >> >> Best regards, >> >> Luca >> >> Il giorno gio 18 mag 2023 alle ore 10:40 Jason Moore < >> moorepa...@gmail.com> ha scritto: >> >>> I don't think this is something that jupyter can solve. You should >>> likely investigate how to cache intermediate results to disk in your >>> analysis pipelines if you want to skip repeating some computations. >>> >>> Jason >>> >>> >>> On Thu, May 18, 2023 at 10:38 AM Luca Marconi < >>> l.marco...@campus.unimib.it> wrote: >>> >>>> Hi everybody, >>>> I am working with Jupyter Notebook for big data analysis and machine >>>> learning. >>>> >>>> I always do "save and checkpoint" before closing the file. >>>> >>>> Unfortunately, I always have to re-run all the cells (all the realized >>>> code) when I re-open my file. >>>> >>>> Is there a quick way to avoid this necessity? >>>> >>>> I would need to open the notebook and start working from the last cell >>>> onwards, since the time needed to re-run everything is a lot (I have to >>>> work with very large datasets). >>>> >>>> Thanks for you support. >>>> >>>> Best regards, >>>> Luca Marconi >>>> >>>> -- >>>> You received this message because you are subscribed to the Google >>>> Groups "Project Jupyter" group. >>>> To unsubscribe from this group and stop receiving emails from it, send >>>> an email to jupyter+unsubscr...@googlegroups.com. >>>> To view this discussion on the web visit >>>> https://groups.google.com/d/msgid/jupyter/188c2702-3e52-4bd8-876d-4ca26242061en%40googlegroups.com >>>> <https://groups.google.com/d/msgid/jupyter/188c2702-3e52-4bd8-876d-4ca26242061en%40googlegroups.com?utm_medium=email&utm_source=footer> >>>> . >>>> >>> -- >>> You received this message because you are subscribed to the Google >>> Groups "Project Jupyter" group. >>> To unsubscribe from this group and stop receiving emails from it, send >>> an email to jupyter+unsubscr...@googlegroups.com. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/jupyter/CAP7f1Ai9X7oetuzEQcRDDs57EUk%2BA%3DoGpiaBZhOb15i3A3tkXA%40mail.gmail.com >>> <https://groups.google.com/d/msgid/jupyter/CAP7f1Ai9X7oetuzEQcRDDs57EUk%2BA%3DoGpiaBZhOb15i3A3tkXA%40mail.gmail.com?utm_medium=email&utm_source=footer> >>> . >>> >> >> >> -- >> Cordiali saluti, >> >> Luca Marconi >> >> -- >> You received this message because you are subscribed to the Google Groups >> "Project Jupyter" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to jupyter+unsubscr...@googlegroups.com. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/jupyter/CANUWwiTP%2BpVqXXJ743rZsBLdQfFkQY6kO%3DCWtbVUKRHFkcu0Rg%40mail.gmail.com >> <https://groups.google.com/d/msgid/jupyter/CANUWwiTP%2BpVqXXJ743rZsBLdQfFkQY6kO%3DCWtbVUKRHFkcu0Rg%40mail.gmail.com?utm_medium=email&utm_source=footer> >> . >> > -- > You received this message because you are subscribed to the Google Groups > "Project Jupyter" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to jupyter+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/jupyter/CAP7f1Aiy68jrJCkXd_T1bJoFrW6M13istvwDYrX3yXHtPUCKbA%40mail.gmail.com > <https://groups.google.com/d/msgid/jupyter/CAP7f1Aiy68jrJCkXd_T1bJoFrW6M13istvwDYrX3yXHtPUCKbA%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > -- Best regards, Michał Krassowski -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to jupyter+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/CAPfyr1K8RoPRW8OREjc2p6o8-YUsGWGX_ATBmQaHAwhq_pegAw%40mail.gmail.com.
