I am currently setting up a Python data-science client for SQL Server Machine Learning Services following this guide: https://learn.microsoft.com/en-us/sql/machine-learning/python/setup-python-client-tools-sql?view=sql-server-ver15
Unfortunately, running Jupyter notebooks for this distribution does not seem to work for me: Typing .\Scripts\jupyter-notebook in the distribution folder, or directly running jupyter-notebook.exe from the Scripts sub-folder does not start Jupyter. In the terminal, the command exits with no ouput.
Afterwards, https://localhost:8889/tree is not reachable as should be the case according to the tutorial above.
Any suggestions? (I already checked https://jupyter-notebook.readthedocs.io/en/stable/troubleshooting.html for solutions). Thank you!
Update: At least .\Scripts\jupyter-console is running, though it is not the same experience.
some cases .\Scripts\jupyter-notebook will not work fine because of the installation issues. As anaconda is having both commercial and enterprise editions, issues will raise.
Instead use the following procedure for cool opening of Jupyter-Notebook in anaconda distribution
Click on Start menu
Type Jupyter
Click on jupter icon which is visible in search results
Jupyter CMD will start running and make it minimized instead closing it. It will open the UI of jupyter notebook in browser.
Jupyter notebook for SQL
Check the documentation link which is available in link which is the configuration of jupyter notebook for SQL.
Document Credit: Rajendra Gupta
https://localhost:8889/tree
Related
I am trying to open a Jupyter Notebook file in classic Jupyter Notebook interface. I am attempting to create an interective app that uses Julia programming language in interactive codes. For that I am trying to use the Interact library, because I know it features things such as buttons, sliders, etc. It requires the WebIo extension to be installed. However, from what I have experienced so far, Jupyter notebook does not detect the WebIO extension.
I tried following the instructions at https://juliagizmos.github.io/WebIO.jl/stable/gettingstarted/ and at https://juliagizmos.github.io/WebIO.jl/stable/troubleshooting/not-detected/. In the last link I found that another extension needed to be install and I found more information in this link (https://juliagizmos.github.io/WebIO.jl/latest/providers/ijulia/). I tried executing this command in my Windows prompt and it had apperently been succesful. When executing the command suggested at the second link, I got an error in the Julia REPL saying that WebIO extension for Jupyter Lab must be installed through Python or Conda, which I had already done.
I am also a bit confused as to how I can check to see if the extension is enabled.
I believe the problem has to do either with the installation of IJulia or the pip installation of WebIO. I rarely use pip, so I don't know if I did it correctly.
Thank you.
I have a Jupyter notebook running within an Amazon SageMaker Studio Lab (https://studiolab.sagemaker.aws/) environment, and I want to use Tensordboard to monitor my model's performance inside the notebook.
I have used the following commands to set up the Tensorboard:
%load_ext tensorboard
# tb_log_dir variable holds the path to the log directory
%tensorboard --logdir tb_log_dir
But nothing shows up in the output of the cell where I execute the commands. See:
The two buttons shown in the picture are not responding, BTW.
How to solve this problem? Any suggestions would be appreciated.
I would try the canonical way to use tensorboard in AWS Sagemaker, it should be supported also by Studio Lab, it is described here. Basically install tensorboard and using the EFS_PATH_LOG_DIR launch tensorboard using the embedded console (you can do the following also from a cell):
pip install tensorboard
tensorboard --logdir <EFS_PATH_LOG_DIR>
Be careful with the EFS_PATH_LOG_DIR, be sure this folder is valida path from the location you are, for example by default you are located in studio-lab-user/sagemaker-studiolab-notebooks/ so the proper command would be !tensorboard --logdir logs/fit.
Then open a browser to:
https://<YOUR URL>/studiolab/default/jupyter/proxy/6006/
Installed WSL on Windows 10.
Installed Anaconda according to the Anaconda documentation with the following commands:
bash Anaconda3-2020.02-Linux-x86_64.sh
source ~/.bashrc
You can see the '(base)' in the beginning of each command input line, indicating the conda is activated.
Then I run jupyter notebook by typing:
jupyter notebook
Then I see the following changes as shown in the screen record.
Briefly, the WSL terminal window showed some information very quickly, but is changed to the windows powershell window before you could even tell the information that showed up. I know those information should contain a file and url for opening the jupyter notebook in the web browser. But they flashed out so quickly. Does anyone know why this happens?
Here is a dynamic graph of the Screen record of this issue:
Solved:
1. Wait for a bit more time on the windows cmd and the jupyter notebook running information will show up, where includes the url to open jupyter notebook in the web browser.
OR
Open up another wsl terminal, activate the same environment and type jupyter notebook list, which will show the current running jupyter notebook server. The url is also can be found there.
Is it possible to use Jupyter notebooks with the open source version of rstudio-server? I was unable to find any documentation regarding this except for this link which talks about rstudio-server pro.
https://docs.rstudio.com/ide/server-pro/1.2.5001-3/jupyter-sessions.html
Please point me to a link if anybody has already implemented this.
Thanks in advance.
It is not possible to use Jupyter Notebooks in the Open Source version of RStudio Server. This is a feature that requires RStudio Launcher and it and requires RStudio Server Pro.
It's possible to try RStudio Server Pro for 45 days, with no strings attached.
You can just follow the docs to start your trial:
https://docs.rstudio.com/rsp/installation/
https://docs.rstudio.com/rsp/integration/jupyter-standalone/
If you are looking for other OSS options you can take a look at JupyterHub and how it supports RStudio IDE inside their architecture.
(Disclaimer I work for RStudio)
I don't believe Jupyter has current implementation for running inside of R Studio Community.
I just installed Miniconda and the R Essentials bundle on my Windows 10 machine, following the instructions given here. Everything went swimmingly until I opened up an Anaconda command prompt and entered jupyter notebook and got an error. I then used ipython notebook which worked, so okay, no problem there.
However, after creating a new folder and trying to create a new R notebook within that folder, my Jupyter tabs started to hang. Whenever I try to do something, whether it is rename the notebook, run a block of code, basically anything, all of the Jupyter tabs sit there loading endlessly saying "Waiting for localhost..."
I try stopping the server and restarting it, but every time I try to do anything I get the same result. I also tried changing the port and running the command prompt as administrator--same result. I am using Chrome, which shouldn't be an issue.
Any ideas? I was really excited about using a Jupyter notebook to keep track of my analyses in R, but if I can't even get it to function out of the box I'll have to find a better solution.