I start using R in jupyter, and I tried to install the library tidyverse from anaconda prompt. since then whene ever I open R in jupyter the kernel crash. but python's kernel works.
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I installed Jupyter Notebook on Windows 10. But I got an error when launching it in Visual Studio Code as:
jupyter : The term 'jupyter' is not recognized as the name of a cmdlet, function, script file, or operable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again.
After searching online, I decided to install Anaconda first and run Jupyter from it. But launching it from Anaconda was directed to a web address. It looks like Jupyter is only a web application.
I wonder if it is possible to run the Jupyter Notebook as a desktop application on Windows.
There is a JupyterLab Desktop App, see here and here. I don't know how old of a version of Windows works for it.
Rest was built from discussion in comments:
On Jupyter with VS Code:
Jupyter itself works with VScode to run Jupyter notebooks in VScode. You wouldn't need the JupyterLab Desktop App in that case. You do need Jupyter though. See here if you are interested in using Jupyter notebooks in VSCode.
On installing packages that worked before installed Anaconda:
The easiest solution would be to reinstall them. It is possible you could add the already installed ones to your path, but if you have room it is easiest to keep your Anaconda installed stuff where it is and separate from what you had. The easiest way to sort where to install them is to let Jupyter handle it. For example, if you want to work with Pandas in a notebook, in that notebook run %conda install -c anaconda pandas, based on here and the magic install command. For the packages that conda cannot install, and only for those, use %pip install <package_name>.
You can delete the install commands out of the notebook after if you want. You may just want to comment them out so you remember. For the short term you are fine re-running the commands because if the package is already installed by conda or pip it won't get reinstalled; however, if the package gets a new release and you aren't specifying versions, you'll get the latest when that install command next runs and if there is an error or incompatibility, then you'll have caused yourself an issue you could have avoided.
Julia REPL run well in my M1 mac, but I can't use it in jupyter lab.
I tried same way as in Win10, just like below.
using Pkg
ENV["JUPYTER"]="Users/(user name)/opt/anaconda3/bin/jupyter.exec"
Pkg.build("IJulia")
Pkg.add("IJulia")
The path in Win10 was
ENV["JUPYTER"]="C:\\Users\\(user name)\\Anaconda3\\Scripts\\jupyter.exe"
But the jupyter file is located in different path in mac, so I changed the path.
After this setting, Julia symbol appears right in jupyter lab launcher, but I get some error message when I click.
Error Starting Kernel
Unhandled error
Unhandled error
What's the right way to set Julia in JupyterLab in osX, M1?
I have instaled R in my jupyter through anaconda and It was working fine. Today I found this message when I opened R form Jupyter and I don't know what is the problem ?
The kernel has died, and the automatic restart has failed. It is possible the kernel cannot be restarted. If you are not able to restart the kernel, you will still be able to save the notebook, but running code will no longer work until the notebook is reopened.
I'm using Mac OSX
I had the same problem in Mac OSX when R is installed before Anaconda. The fix is to:
1. Uninstall R and Anaconda
2. Install Anaconda
3. Install R
I newly installed Anaconda (v.4.3.1) and used a conda command to install cling for a C++ kernel on Jupyter. I used conda install -c conda-forge cling=0.3.post
I am on Windows 8.1. I can't seem to find an answer on how to resolve this: I'm getting a 'Dead Kernel' error upon opening a notebook with any C++11, C++14 or C++17 kernel. I have not at all been able to use the c++ kernels after installation. Python3 kernel works completely fine. Below is a screenshot of the error I get.
Dead Kernel: Error Message Screenshot
For future errors: look at the console window that opens up when you start the notebook server. That will report Python exceptions.
For this case, I think you found what I recently discovered: cling's Jupyter kernel does not currently work on Windows. It uses the fcntl module to make pipes it uses for input/output non-blocking. fcntl only works with *nix operating systems. You'll have to wait until they change it up.
I have Jupyter Notebook installed via Anaconda running on anaconda python 3.5, windows 10 x64 (package versions: http://pastie.org/10748484)
Notebook doesn't capture and display stdout produced during cell execution (for example verbose output of sklearn methods), instead it is displayed in console used to start Jupyter notebook.
While on other platforms (osx 10.11 and ubuntu 15.10) messages are displayed correctly in cell output during cell execution.