How to install Sage if I already have Jupyter - windows

Sorry for my bad english
Is there some way that I could have Sagemath in Jupyter Notebook without installing completely Sagemath by itself?
I have Windows 10 and I had trouble trying to install Sagemath on other computer some time ago, so I won't try it again

Related

Can Jupyter Notebook run on Windows 10

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.

Problems installing and opening Anaconda3 on macOS Sierra

I am using a MacBook Pro (early-2011) with macOS Sierra v10.12.6. I can not install and run Anaconda3. I have downloaded the pkg file from the Anaconda webpage. First day, it took overnight to finish installing. After which it said installation failed. I tried to delete all files and reinstall all over again serval times, but this hasn't worked. I made sure the /opt folder was empty before I reinstall again, but even like that didn't work.
Any ideas how to make it work?
Had a similiar problem with a geriatric iMac mid 2010 running OSX 10.13.16. The GUI installer for Anaconda 3 takes an age, then reports there was a problem.
I downloaded the install script and ran, "bash Anaconda3-2022.05-MacOSX-x86_64.sh" in a terminal.
Answered questions, and after some time, have Anaconda installed in my personal space. Now to figure out how to use the latest LTS Julia.
No Anaconda support. Current Anaconda (and likely Miniconda) distribution declares a minimum system requirement of macOS v10.13+. One could try scraping back through the archive to find an older distribution that will install, but I wouldn't recommend that.
Conda Forge supports macOS 10.9+. Conda Forge still builds all osx-64 packages with a macOS 10.9 target. Hence, you should be fine using instead a Miniforge variant for the base Conda installation. I strongly recommend Mambaforge, and using mamba instead of conda.

Unable to run jupyter notebook

cannot open juypter notebook from terminal or anaconda app
terminal shows notebook as already open, running
uninstall/reinstall (x3) hasn’t fixed it
cannot access notebook from any ports, or 127.0.0.1
upgrading pyzmq doesn’t resolve the issue
removing and reinstalling pyzmq doesn’t resolve the issue
using windows 10
any sugggestions much appreciated, thank you

Anaconda installer not working - Windows 10

I have installed the Anaconda 3 in my windows 10 and it has not installed the Scripts folder and the Anaconda Prompt or Navigator applications.
I have come here and in other sources for an answer and tried to reinstall, use the cmd as adm to install with the conda commands, but the system does not recognize the conda command. I have seen answers with the Scripts folder, but it was not installed.
I have also seen answers advising me to install miniconda and then update to anaconda, but again, miniconda has the same problem as anaconda: no scripts folder, no recognition of the conda command.
I don't know what to do.
Dear all who may have had the same problem, what worked for me was to install the 32-bit version, I had heard it was more stable.
I did not have to restart Windows after installing this version, It was already there, Anaconda Prompt and Navigator.
I work on a hp Probook with windows 10 and the problem was that the application hp Sure Sense Installer block the installation of anaconda. After uninstalling the hp Sure Sense Installer application and reinstalling anaconda, everything works fine !

R is dead in Jupyter

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

Resources