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2021-11-19 18:58:52 +0100 commented question Using dz /\ dx convention in SageManifolds

I suppose you already knows that $dz\wedge dx=- dx\wedge dz$ as far $dx$ and $dz$ are 1-forms. With this in mind the onl

2021-11-19 18:58:39 +0100 commented question Using dz /\ dx convention in SageManifolds

I suppose you already knows that $dz\wedge dx=- dx\wedge dz$ as far $dx$ and $dzĀ· are 1-forms. With this in mind the onl

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2021-09-18 17:48:43 +0100 commented answer Unable to link Jupyter notebook to correct kernel

@Will I suppose

2021-09-18 09:42:55 +0100 answered a question Unable to link Jupyter notebook to correct kernel

Maybe this will help to someone. I dont have a Mac but in Ubuntu I do the following (and probably it works also in any o

2021-09-16 02:05:09 +0100 commented question why unable to call giac as integrate method in version 9.4?

confirmed: giac doesn't work

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2021-09-09 17:05:39 +0100 edited answer how to shift to source installed sage in Ubuntu

You cannot run sage from source code, maybe you mean from a binary. I will assume that you have download the tar.bz2 fil

2021-09-08 14:36:08 +0100 edited answer how to shift to source installed sage in Ubuntu

You cannot run sage from source code, maybe you mean from a binary. I will assume that you have download the tar.bz2 fil

2021-09-08 14:26:25 +0100 answered a question how to shift to source installed sage in Ubuntu

You cannot run sage from source code, maybe you mean from a binary. I assume you have download the zip file for sagemath

2021-09-03 23:27:20 +0100 edited answer There is a way to use tikz-cd in a sage notebook?

I found a solution, installing the package for ipython itikz from there and also installing pdf2svgfrom here. Then you c

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2021-09-03 14:59:29 +0100 marked best answer There is a way to use tikz-cd in a sage notebook?

Using sagemath via jupyterlab I saw that in a code cell we can use the magic command %%latex at the beginning to write after custom $\LaTeX$. However I didn't see a way to setup a preamble or so to use latex libraries like tikz-cd. So my question is, there is a way to use latex libraries like tikz-cd with sagemath?

2021-09-03 14:59:23 +0100 edited answer There is a way to use tikz-cd in a sage notebook?

I found a solution, installing the package for ipython itikz from there and also installing pdf2svgfrom here. Then you c

2021-09-03 14:58:36 +0100 answered a question There is a way to use tikz-cd in a sage notebook?

I found a solution, installing the package for ipython itikz from there and also installing pdf2svgfrom here. Then you c

2021-09-03 02:17:03 +0100 commented question There is a way to use tikz-cd in a sage notebook?

I see @JohnPalmieri, maybe there is a way to produce images directly from latex in a different way?

2021-09-03 02:15:47 +0100 edited question There is a way to use tikz-cd in a sage notebook?

There is a way to use tikz-cd in a sage notebook? Using sagemath via jupyterlab I saw that in a code cell we can use the

2021-09-02 20:51:15 +0100 edited question There is a way to use tikz-cd in a sage notebook?

There is a way to use tikz-cd in a sage notebook? Using sagemath via jupyterlab I saw that in a code cell we can use the

2021-09-02 20:39:04 +0100 edited question There is a way to use tikz-cd in a sage notebook?

There is a way to use tikz-cd in a sage notebook? Using sagemath via jupyterlab I saw that in a code cell we can use the

2021-09-02 20:38:29 +0100 asked a question There is a way to use tikz-cd in a sage notebook?

There is a way to use tikz-cd in a sage notebook? Using sagemath via jupyterlab I saw that in a code cell I can use the

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2020-11-11 16:22:57 +0100 marked best answer It is possible to use a previous output?

I dont find anything in the documentation about the possibility to re-use previous outputs, in jupyter notebook or in the prompt, so I will ask here: there is a command to reuse a previous output instead to avoid recompute it again?

By example, say that I compute a value of a function and I want to re-use again this result, there is a way to call for the oputput instead of re-computing it value again or pre-assigning the value to a variable? Of course a solution could be just copy-and-paste the output, by I want to know if there is a command to avoid also this manipulation.

2020-07-09 13:25:01 +0100 commented question I installed Sage 9.1 but my terminal says I have Sage 9.0 installed.

you uninstalled 9.0 first? Because the version on the terminal is the version you are using.

2020-06-26 08:23:49 +0100 commented question SageMath 9.1 for Windows

@daniel this is the standard behavior for the windows builds, almost with every new version you need to wait some months. I dont think it has been discontinued.

2020-06-04 06:59:04 +0100 commented question SageMath 9.1 for Windows

@daniel I understand what you mean. Sometimes it took some time before a version of sagemath is ready, but the version 9.1 is ready for linux at this moment, this is why they made the announcement of the new version.

2020-06-04 00:30:54 +0100 commented question SageMath 9.1 for Windows

if it doesn't appear in the download, why do you think there is a sagemath 9.1 for windows ready?

2020-05-27 09:40:54 +0100 edited answer Ubuntu 18.04 apt install - ModuleNotFoundError: No module named 'sage'

Alternatively you can download the last version of sagemath from it official web, then (after you have cleaned your not working installation of sage, say you have uninstalled it) you can do the following:

  1. Extract the file that contains sage to some folder, this would be the installation folder of sagemath.

  2. Install (if it is not already installed) jupyter.

  3. Now you need to add the sage kernel to jupyter running this command in the terminal (assuming that jupyter is available in your PATH):

     jupyter kernelspec install --user /folder-of-sage/local/share/jupyter/kernels/sagemath
    

    where /folder-of-sage is the direction of the folder where you have extracted sage.

  4. Now run in the terminal jupyter kernelspec list, this gives a list of the installed kernels of jupyter and the folder where each kernel was installed. Then open the folder where the kernel of sage was installed and the kernel.json file that you will find there, open it with some text editor and add the following just before the last }

    ,"env":{"SAGE_ROOT":"/folder-of-sage"}
    

    Finally save the file and close it.

And this is all. Now you can open jupyter (or jupyter lab) and find that the kernel of sage is installed and works correctly (to run jupyter you can run jupyter lab in a terminal.)