["python","ipython","jupyter-notebook","jupyter"]
How to pickle or store Jupyter (IPython) notebook session for later

Let's say I am doing a larger data analysis in Jupyter/Ipython notebook with lots of time consuming computations done. Then, for some reason, I have to shut down the jupyter local server I, but I would like to return to doing the analysis later, without having to go through all the time-consuming computations again. What I would like love to do is pickle or store the whole Jupyter session (all pandas dataframes, np.arrays, variables, ...) so I can safely shut down the server knowing I can return to my session in exactly the same state as before. Is it even technically possible? Is there a built-in functionality I overlooked? EDIT: based on this answer there is a %store magic which should be "lightweight pickle". However you have to store the variables manually like so: #inside a ipython/nb session foo = "A dummy string" %store foo closing seesion, restarting kernel %store -r foo # r for refresh print(foo) # "A dummy string" which is fairly close to what I would want, but having to do it manually and being unable to distinguish between different sessions makes it less useful.
I think Dill (pip install dill) answers your question well. Use dill.dump_session to save a Notebook session: import dill dill.dump_session('notebook_env.db') Use dill.load_session to restore a Notebook session: import dill dill.load_session('notebook_env.db') (source)