I am working with Juypter Notebook for a long time and I want to open my projects in vs_code (or any other IDE) and my "juypter_projects" folder where I contain all my Jupyter notebook projects appears in this way: (please try to understand my handwriting 😀😁)
and inside the .ipynb_checkpoints folder which is located inside the juypter_projects folder seems in this way:
and looks like none of the files inside these folders are of .py extension
hence so I dont know which file should I choose to open when trying to edit my code in other IDEs
and so when I tried to open them in any IDE like vs_code it is not working and this limits me to only edit my code inside "Juypter Notebook" and please tell me how can I open Juptyer Notebook projects and edit them in other IDEs... Thank You
When you write code in Jupyter cells, the notebook (.ipynb) is converted into a JSON object, making it very difficult to work in an IDE.
The solution my company landed on is writing everything in external python modules and importing them into the notebook. We use Jupyter widgets extensively and they can be imported into .py files as easily as importing them into notebooks. In the end, we get a library of custom widgets and modules that can be used by everyone, and since it's just python, we can build/edit in any IDE. I use Sublime.
There may be other ways, but this approach works so well for us that we've stopped looking for alternatives.
Related
When i run example.ipynb file in vs code, it saves me a lot of files like:
example-caloifdf-498s-a54d-sdj8-caksjnbrhn83.ipynb
example-a60c6s44-9fax-4747-a9da-as9876fg34r8.ipynb
etc...
in the same folder where example.ipynb is in.
Questions:
What are those files?
How i can i stop vs code from making them\put them in another path if they are relevant?
Thank You.
That should actually be a bug. It's supposed to delete those files. There a consequence of us using jupyter under the covers to run your kernel.
This bug here should resolve it when we fix it:
https://github.com/microsoft/vscode-jupyter/issues/6510
.ipynb files aren't created by vs-code, they are jupyter notebook files generated when working with jupyter notebooks. They don't appear in anaconda or other IDEs which have built-in jupyter notebook support because there is no need to interact with the underlying .ipynb file directly.
I am trying to make code text on jupyter notebook on VS code be bold, but no matter how I tweak the settings.json file I can't seem to find a way to make it happen. As I have noticed, usual python code text in .py files is changing when i change settings.json file but .ipynb file is not reacting. For some reason if I use command palette to change themes jupyter notebook's code is changing color as well but the codetext itself is not becomming bold. Is there a way to solve this?
I'm a developer on the VSCode python extension. Currently our notebook editor is implemented as a webview (basically a way for extensions to put a webpage into VS Code's UI). We've tried to match things up as best as we can, but in this scenario we can't support many VS Code editor settings and features. This setting that you are changing is one of the ones that we don't support.
On the plus side, VS Code core team is currently in the process of adding build in notebook support. When we move over to this the notebook cells will be full real VS Code editor instances and will support this setting. This feature is currently in early preview (expect plenty of change and issues) if you right click on a ipynb file in VS Code Insiders and pick "open in preview Notebook Editor."
At present, the Jupyter notebook function in VSCode is provided by the python extension.
When it is used as markdown, the text output is bold. (use "# %%[markdown]").
But it does not currently support setting its code bold style. We look forward to its further improvement of this setting.
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.
i am currently forced in an project to work with jupyter notebook, before I just used PyCharm.
So I create a project and would like to add some classes to it. Should I write all of them in the one main notebook or create different notebooks for each class?
As far as I understand, jupyter is not made for using several notebooks for one project (but I thnink there are options) but if I want to use some of my classes more general for other projects it does not make sense to not have it in a seperate notebook right?
I am sorry, maybe I have a basic misunderstanding of jupyter but I could not figure out yet, what is the best way.
Jupyter will happily allow you to use multiple libraries in other notebooks. You can find the documents here
Though if you want to move the project out to a command line executable, you may want to consider exporting the notebooks as .py files and then importing them as standard python libraries. Jupyter has a nbconvert method for this.
I do this a lot and ended up writing a small script that adds appropriate hashbang lines and strips out any Jupyter "magic" commands. You can find it at github.
Usage: ./nbconvert myNotebook.ipynb
There are also some excellent Jupyter magic commands that make working with libraries much easier.
# cause chagnged modules to be reloaded at execution
# add this to any notebook that sources an external .py file
%load_ext autoreload
%autoreload 2
I also find this useful:
# set %magic alias to convert the current notebook into a .py file
%alias nbconvert ~/devtools/nbconvert thisNotebook.ipynb
Usage:
%nbconvert
[NbConvertApp] Converting notebook searchTools.ipynb to python
You don't necessarily need notebooks, you may create .py files with your class implementations for example myclass.py, and then just normally do import myclass