notebooks | Examples and IPython Notebooks about NetworkX | Machine Learning library
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Examples and IPython Notebooks about NetworkX.
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QUESTION
I'm trying to run a Jupyter notebook on Ubuntu 21.10. I've installed python, jupyter notebook, and all the various prerequisites. I added export PATH=$PATH:~/.local/bin
to my bashrc
so that the command jupyter notebook
would be operational from the terminal.
When I call jupyter notebook
from the terminal, I get the following error message from my browser:
ANSWER
Answered 2022-Apr-01 at 17:04I had the same problem.
Ubuntu 20.04.3 LTS Chromium Version 96.0.4664.110
This was the solution in my case:
Create the configuration file with this command:
QUESTION
I am new to GCP's Vertex AI and suspect I am running into an error from my lack of experience, but Googling the answer has brought me no fruitful information.
I created a Jupyter Notebook in AI Platform but wanted to schedule it to run at a set period of time. So I was hoping to use Vertex AI's Execute function. At first when I tried accessing Vertex I was unable to do so because the API had not been enabled in GCP. My IT team then enabled the Vertex AI API and I can now utilize Vertex. Here is a picture showing it is enabled. Enabled API Picture
I uploaded my notebook to a JupyterLab instance in Vertex, and when I click on the Execute button, I get an error message saying I need to "Enable necessary APIs", specifically for Vertex AI API. I'm not sure why this is considering it's already been enabled. I try to click Enable, but it just spins and spins, and then I can only get out of it by closing or reloading the tab.
One other thing I want to call out in case it's a settings issue is that currently my Managed Notebooks tab says "PREVIEW" in the Workbench. I started thinking maybe this was an indicator that there was a separate feature that needed to be enabled to use Managed Notebooks (which is where I can access the Execute button from). When I click on the User-Managed Notebooks and open JupyterLab from there, I don't have the Execute button.
The GCP account I'm using does have billing enabled.
Can anyone point me in the right direction to getting the Execute button to work?
...ANSWER
Answered 2022-Mar-29 at 09:01Based on @JamesS comments, the issue was solved by adding necessary permissions on his individual account since it is the account configured on OP's Managed Notebook Instance
in which has an access mode of Single user only
.
Based on my testing when I tried to replicate the scenario, "Enable necessary APIs" message box will continue to show when the user has no "Vertex AI User" role assigned to it. And in conclusion of my testing, below are the minimum roles required when trying to create a Scheduled run on a Managed Notebook Instance
.
- Notebook Admin - For access of the notebook instance and open it through Jupyter. User will be able to run written codes in the Notebook as well.
- Vertex AI User - So that the user can create schedule run on the notebook instance since the creation of the scheduled run is under the Vertex AI API itself.
- Storage Admin - Creation of scheduled run will require a Google Cloud Storage bucket location where the job will be saved
Posting the answer as community wiki for the benefit of the community that might encounter this use case in the future.
Feel free to edit this answer for additional information.
QUESTION
I can use the normal F2 rename variable functionality in regular python files in vscode. But not when editing python in a jupyter notebook.
When I press F2 on a variable in a jupyter notebook in vscode I get the familiar change variable window but when I press enter the variable is not changed and I get this error message:
No result. No result.
Is there a way to get the F2 change variable functionality to work in jupyter notebooks?
Here's my system info:
jupyter module version
...ANSWER
Answered 2022-Jan-17 at 02:49Notice that you put up a bug report in GitHub and see this issue: Renaming variables didn't work, the programmer replied:
Some language features are currently not supported in notebooks, but we are making plans now to hopefully bring more of those online soon.
So please wait for this feature.
QUESTION
When I try to export my Jupyter Notebook in pdf format in VSCode like this:
and jupyter output panel says:
so i tried to install MikTeX and update the required packages, but still I can't export Jupyter Notebooks in PDF format by VSCode!
how can I fix this problem?
Note That I know i can do it by convert it to HTML and then with ctrl+p
try to save it as pdf! but I want to convert it to pdf in straight way!
ANSWER
Answered 2021-Sep-03 at 21:20You can try following URL. Hope it will solve your issue
https://code.visualstudio.com/docs/datascience/jupyter-notebooks#_export-your-jupyter-notebook
I just tried in Linux(Ubuntu 20.04) and it worked for me
You can follow this steps:
sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-latex-recommended
- Active env where you have jupyter installed
- Execute this command:
jupyter nbconvert --to pdf your_file.ipynb
QUESTION
I'm trying to improve my workflow when working with R and generating documentation. I've been going between TeXStudio, JupyterLab and RStudio for a while, and I'm trying to improve my workflow. TeXStudio has limited R support, and RStudio limited support for LaTeX.
VS Code has support for multiple languages, including R and LaTeX. The fact that it can run both Jupyter notebooks, R notebooks, and LaTeX, and has plugins for other languages as well, makes it seem desirable. However, I am unable to find documentation on how to configure it to work with R and LaTeX code in the same file. In addition, I am unable to configure R notebooks to allow inline code execution output.
However, I am unable to (a) set up code execution output under the code for .Rmd notebooks, and (b) I can't figure out how to weave .Rnw (R/LaTeX) documents with Sweave/knitr.
I'm trying to find an IDE that would include features like:
- Markdown, code and code execution output in the same document
- Auto R and LaTeX code completion
- Automatic display of R function documentation
- Spell check
- Simple R console access
- Compile .Rnw
- Syntax highlighting for both R code and LaTeX code
I am, primarily, requesting ways to configure VS Code, or, secondly, way to configure another IDE that can meet my requirements. A tutorial on this would be much appreciated.
...ANSWER
Answered 2022-Jan-03 at 11:40After a bit of digging around, I found that VS Code does nearly all the things I need.
- Auto R and LaTeX code completion, Display of R function documentation in a tab in VS Code, Simple R console access, and Syntax highlighting for both R code and LaTeX code:
The R and LaTeX Workshop extensions, will provide highlighting and autocompletion of code in both languages. By installing R, you can easily open a session in a terminal window in VS Code, and from there open documentation inside VS Code.
- Spell check
Code Spell Checker offers spell check for multiple languages. Install the extension and any desired dictionaries, and set the langauges you want to be included in the extension settings.
- Compile .Rnw files
Turns out LaTeX Workshop can actually do this by default.
- Markdown, code and code execution output in the same document
This is the only thing VS Code doesn't do as far as I can tell. It can compile .Rmd files, however, but the output can only be seen in the compiled PDF. I consider this less important, since I can use Jupyter notebooks instead.
QUESTION
I am working in notebooks provided in the Workbench section of Vertex AI. I need an updated version of Python, but I only have access to Python 3.7 in these notebooks. I have successfully followed these steps and if I run python3.8 --version
, I get Python 3.8.2
, which is good, but python --version
still returns Python 3.7.12
. If, following this answer and restarting notebook's kernel, I run
ANSWER
Answered 2021-Dec-31 at 13:41#create a new conda env:
$ conda create -n python38 python=3.8
#Activate your new Python 3.8 environment:
$ conda activate python38
#install ipykernel when logged in the new env:
(python38)$ conda install ipykernel
QUESTION
I am using quite large notebooks in JupyterLab to run Python code. They contain many Markdown cells with text and some images. The problem I am having is that when I close the Notebook and reopen, some of these cells have collapsed and can't be expanded (show as a horizontal line). Sometimes I will get a message telling me how many cells are hidden but they can't be expanded. Others seem to have disappeared completely.
Occasionally, I can get some cells to expand if I reload the page. I thought it may have been because I had lots of Markdown header levels and those too far down the hierarchy were collapsing. However, even removing many of the header levels has not solved the problem.
Have others had this issue and has anyone been able to resolve it? Thanks!
Edit: Thank you Vinson. My Jupyter Version is Version 3.1.7, running on Google Chrome (Version 92.0.4515.159 (Official Build) (64-bit)), on Windows machine.
...ANSWER
Answered 2021-Sep-03 at 13:17This was fixed in JupyterLab 3.1.10 (this PR) released on 2021-09-01 - the issue should disappear after you upgrade and restart JupyterLab:
QUESTION
im a student who are currently studying R, and my lecturer gives me an assignment from one of the notebooks, here are the question:
We previously defined the generic power function and the instances square and cube this way:
...ANSWER
Answered 2021-Dec-20 at 12:23Given power <- function(x, n) x^n
, you should define square
like below
QUESTION
I would like to have a point displayed (like in this tutorial) in my rmarkdown document after knitting.
Reproducible example:
...ANSWER
Answered 2021-Dec-16 at 20:10First, not sure if this is crucial, but, following the documentation, we need to add this chunk first:
QUESTION
When passing style
argument along with a starting block, I changed
font-size
and font-family
and all of that in my Jupyter notebook's individual cells. Like so-
ANSWER
Answered 2021-Aug-29 at 23:39I don't think this is the answer you wanted, but it works. It is scalable, too. I usually use Python with Atom, XCode, or RMarkdown in RStudio, so I am not all that familiar with the ins and outs of Jupyter's interface.
First, I noticed that I could see the text rendered as expected when I went to print preview. However, I thought that that was pretty useless. What are you going to do? Go to print preview every time you write something? What's the purpose of an interactive notebook at that point?
I digress.
Okay, so what I found that worked... in no way is this an idea that is originally mine...
Custom CSSAdding a custom CSS file, but not the 'change it all' thing that the Jupyter help files suggest...
Step 1) Create a styles folder in the same directory as the ipynb file.
Step 2) Within the styles folder, create a CSS file.
Step 3) Within that CSS file, write the two tag styles and any others you desire.
Here's that code (pictures of code are annoying).
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