I am following this tutorial to install the notebook on google cloud. It shows a wrong user interface and I cannot see blocks when I edit the file and cannot run either.
The mistake is that I open a .py file directly. Instead, we should create a new notebook by clicking new.
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Error Image
I keep trying to use the jupyter notebook command and this error pops up. Could someone help?
Don't worry about it, you can just paste one of the displayed links in your browser and you'll be able to access it without issue.
The error only means powershell couldn't find the file that is used to automatically opens the notebook.
I did develop an application for several users on windows, without internet access using python and Jupyter Notebook as a graphical interface.
The application intend to process some data, they just have to copy paste the path to their datafile and run through different step.
As a user they just want to double click somewhere to open it. I may not fully understand Jupyter Notebook but I would like to find a simple way to make the notebook clickable ...
Could you help me ?
Thx
Have you looked at nteract? It was a suggestion in a similar question here, that was linked from a question with a similar title as yours, but referenced the previous version of the tech that is now Jupyter notebook.
On my old computer, I was able to run .py files from Jupyter Notebook, edit them, and run them. The .py file was effectively a notebook file for all intents and purposes. I updated to the latest version of notebook, and I am no longer able to do this. How do I use .py files on my notebook?
I know there are roundabout ways to do this. I am looking for the method where, when you are in notebook, instead of opening a .ipynb file, you select a .py file which is opened, and behaves like a .ipnyb. When you save it, it writes to .py.
A text file can be loaded in a notebook cell with the magic command %load.
If you execute a cell containing:
%loadpy filename.py
The content of filename.py will be loaded in the next cell. You can edit and execute it as usual.
To save the cell content back into a file add the cell-magic
%%writefile filename.py at the beginning of the cell and run it.
To see the help for any magic command add a ?: like %loadpy? or %%writefile?.
%COMMAND-NAME?
i.e. %run?
For list of available magic function use %lsmagic.
Alternatively there is also another method magic function called %save-f but I would not recommend that, it's an indirect way of saving files.
Also see -
1. Magic Functions docs
2.this nbviewer for further explanation with examples. Hope this helps.
This is not the exact answer. At one point, I was able to open .py files using python notebook and work on it as if it were a notebook file.
However, I have been able to replicate this behavior using VScode.
https://code.visualstudio.com/docs/python/jupyter-support-py
Using VScode, you can export all your .ipynb files into .py files, then run code blocks. Code blocks are separated by # %%.
I have not used it sufficiently long enough to decide if it is better than python notebook, but this seems to be the best solution so far. I previously tried using Atom/Hydrogen and did not enjoy the experience.
You can save individual cells as files using the following code: %%writefile some_file_name.py.
You can run that code straight from the terming or from another notebook using the following code: %run some_file_name.py
Some editors (like spyder and vscode) have jupyter notebook functionality. These can be used if jupyter in installed in the python environment.
You can use it by add #%% on top of the block of code. (in vscode the button 'run cell' will automatically appear)
Also it is possible to import .ipynb as .py which can be run in to fancy decrypt above.
I just found this package p2j and tested it with a .py file with functions, comments and normal code.
I used it as indicated in this answer by doing the following:
pip install p2j
p2j -o script.py -t new_file.ipynb
You can also add -o flag to overwrite the original file.
With this, I got a working Jupiter Notebook with each block of code in a cell and the comments as markdown.
Example:
Original .py script
Converted .ipynb
I have read about .py and .ipy, also the difference between python, ipython and notebook.
But the question is: what is the real difference between .py and .ipynb file?
Is .ipynb file just more convenient to be run on jupyter notebook, or anything more? I am wondering because I am thinking about which format to be used for publishing on GitHub.
Thanks
.py is a regular python file. It's plain text and contains just your code.
.ipynb is a python notebook and it contains the notebook code, the execution results and other internal settings in a specific format. You can just run .ipynb on the jupyter environment.
Better way to understand the difference: open each file using a regular text editor like notepad (on Windows) or gedit (on Linux).
Save on git the .ipynb if you want to show the results of your script for didatic purposes, for example. But if you are going to run your code on a server, just save the .py
Adding #Josir answer, the below information is very useful for open .ipynb file using PyCharm.
Create a new Python project in Pycharm
Specify a virtual environment, and install the jupyter package(pip install jupyterlab).
Run the server using the jupyter-lab command.
Browser will open the jupyter notebook like below, there you can execute the .ipynp file.
Here is documentation https://jupyterlab.readthedocs.io/en/latest/
py means PYthon
ipynb means Interactive PYthon NoteBook - which is now known as Jupyter notebook.
The latter one is merely a Python script with descriptive contents - you describe what your data is doing by means of Python script and some funny texts. That's pretty much it - and also, you need a specific editor e.g. PyCharm or Google Collab to open and run it.
I think the answer here might help you: https://stackoverflow.com/a/32029027/11924650
.ipy indicates that it's an IPython script. The only difference between IPython scripts and normal Python scripts is that IPython scripts can use IPython magics, e.g. %timeit, and run system commands as !echo Hi.
How can I run .py files from jupyter lab? I have spent my all coding life using jupyter notebook and jupyter lab but replication codes of research papers are mostly in .py file format
For instance, this is a github repository for beta variational autoencoder. As you can see from the repository, these kinds of repositories are usually comprised of main.py, model.py, which looks a lot different from .ipynb format that I usually use.
Can someone share how to comfortably run these kinds of .py codeson jupyter lab? I would appreciate it a lot if someone tells me a video or an article explaining how to run these .py codes on jupyter lab comfortably.
"...how to run these .py codes on jupyter lab comfortably."
Basically the Jupyter's IPython interface allows you to do magic commands that commands within a shell.
Here is the magic for python subprocess.
You can use:
%python -m /path/to/myfile
Then execute the cell and the command will run in the cell and the output cell is the standard output for this run.
You can also make this run in tmux or other tools to make it as a managed background job.
There is a rather thorough discussion of how to interact with .py files from Jupyter notebook here:
How to load/edit/run/save text files (.py) into an IPython notebook cell?
(No terminal window is needed.)
Find File-> new launcher -> other -> terminal, then you use command line run your python file, like "python xxx.py"