I'm using Jupyter notebook to write my code, but I'm facing a problem
that each time I open the notebook I find that all the cells are run.
This causes problems when I want to add some new cells in between.
So I am obliged to rerun the code from the beginning to get the right results.
Is there a way I can start from where I stopped running to save time? Especially since my code takes around 4 hours to run.
Don't shut down the computer that runs the notebook ex.: in windows
"Lock" option
Run the notebook in cloud (AWS, Azure, Google Cloud, Free option Google Colab runs for a while) where you don't need to shut
down the computer
Save down calculated results to files like.:
txt, csv
Save down models with pickle
It is also possible that you leave the computer stays on but the notebook gets disconnected from the environment in this case just pick your already running environment reconnect and it will have all your previous runtime results
Related
My code connects with a database and sometimes the database disconnects on me. As result the script ends. I would like to be able to add a line of code that would allow me to restart and run all the cells in Jupyter notebook.
Input:
if condition ==True:
#Kernel restart and run all jupyter cells
I understand there is already a question that may seem similar but it is not. It only creates a button that you can click to restart and run all the cell
How to code "Restart Kernel and Run all" in button for Python Jupyter Notebook?
Thank you
Would a keyboard shortcut suffice?
For JupyterLab users and those using the document-centric notebook experience in the future, see How to save a lot of time by have a short cut to Restart Kernel and Run All Cells?.
For those still using the classic notebook (version 6 and earlier) interface to run Jupyter notebooks:
A lot of the classic notebook 'tricks' will cease to work with version 7 of the document-centric notebook experience (what most people not consider the 'classic notebook interface') that is on the horizon. The version 7 and forward will use tech that is currently underlying JupyterLab, see Build Jupyter Notebook v7 off of JupyterLab components. And so moving towards JupyterLab now will help you in the long run.
Lately, I've been running some Jupyter notebooks in VS Code, and I've been encountering a strange issue: whenever I open such a file, I am bombarded with pop-ups that look like this:
Sometimes a few will pop up; other times it can be upwards of 10 pop-ups. What's bizarre about this is that I already have my VS Code set up properly, and I can run my Jupyter notebooks just fine. I've tried selecting the 'Modify' option and going with the default selections just to make it go away, but no dice. How do I prevent these annoying pop-ups?
Per your new comments, can you check your default settings to see which application is targeted to open .ipynb files? Perhaps .ipynb files are linked to open (strangely) via the Setup exe.
I just started using Python 3 on Jupyter so I'm not really confortable with it. When I open a file with some commands, if I try to run it, the screen will give me back errors saying that the variables are not defined.
If I try to run directly filename.find("2019") it gives an error back. So when I open a file should, as first step, run all the cells?
Yes, generally speaking, when you open an existing notebook and want to add some code to it at the end, you should first run all the existing cells. You can do this from the menu: Cell -> Run All. Otherwise you would have no proper way of testing your additional code, since it may depend on changes to the namespace in the preceding code.
If the notebook wasn't active so far in that Jupyter session, there is no need to restart the kernel. Jupyter starts a separate kernel instance for every notebook you open.
Is there a possibility to open the same notebook multiple times but each time with another kernel?
I have a problem where I open and run a notebook and whilst I do some calculations another user opens the same notebook. Changes to variables I made will have an effect on that users output and vice versa.
Is there a way to stop this from happening (eg. can you configure a notebook so that it always opens a new kernel?)
I am using Jupyter notebook on Google Cloud Platform VM instance.
I finish work, stop the instance and restart vm and Jupyter Notebook the very next morning, I have to rerun all the codes from the top which is annoying because I have to load all the dataset and that takes good 30 minutes.
I googled around and found that these codes would work, but even though I have it on the top of my notebook still the same problem occurs.
%reload_ext autoreload
%autoreload 2
Is there any way to keep everything in the jupyter notebook so that I can just pick up and run it?
For anyone interested,
I used python library called 'dill'
dill.dump_session('notebook_env.db')
dill.load_session('notebook_env.db')