I am not sure about the best way to manage multiple Julia versions, but
there's a command

jupyter kernelspec remove <name>

where <name> would be something like julia-0.4.  you can use "jupyter
kernelspec list" to see the options.
if you are done with a kernel then i would recommend that.

as for BeakerX, we are planning on creating subpackages for individual
languages so you can install only the ones you need.
https://github.com/twosigma/beakerx/issues/5688
we have a PR for this but it's not ready yet, perhaps in a month, in a
couple of releases from now, you can do that.
until then, you can use the kernelspec remove command to clean up the list.

best, -Scott



On Sun, Dec 31, 2017 at 5:51 PM, Anton Skvorts <[email protected]> wrote:

> Thank you, just installed the new kernel for Julia 6.2.
>
> Ideally, however, I would like to have only one version, the most recent
> one. On JupyterLab and with BeakerX installed, the launcher is getting
> somewhat too crowded.  Would it possible to get this by changing, for
> example, some configuration file, so that just a subset of all the kernels
> available would be shown?
>
>
> On Sunday, 31 December 2017 18:24:27 UTC, [email protected] wrote:
>>
>> After you install Julia itself, you have to run a command to install the
>> kernel as documented here:
>>
>> https://github.com/JuliaLang/IJulia.jl/blob/master/README.md
>>
>> It installs a new kernel that includes the Julia version number, so you
>> can use multiple versions at the same time.
>>
>>
>> On Dec 31, 2017 9:56 AM, "Anton Skvorts" <[email protected]> wrote:
>>
>>> Hi,
>>>
>>> I am mostly using Jupyter along with the Julia Kernel. What would be the
>>> preferred way to upgrade the Julia kernel to the new 0.6.2 version that I
>>> have just installed?
>>>
>>> Thank you!
>>>
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