Jupyter lab: recommended approach to switch to Python 3.6
I am currently using Jupyter lab on a Python 3.6 version.
I would like now to switch to version 3.7.
As version 3.7 requires to re-install packages, I suppose that the solution is a bit more complex than just changing a path in some parameter file. Unfortunately, I can't find any documentation on this.
What is the most efficient, less troublesome approach?
Should I remove version 3.6 completely and re-install all packages, or is there a way to keep version 3.6 as-is and tweak Jupyter lab to use version 3.7?
python3 jupyter-notebook
asked Jan 7 at 10:51
JCFJCF
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I am currently using Jupyter lab on a Python 3.6 version.
I would like now to switch to version 3.7.
As version 3.7 requires to re-install packages, I suppose that the solution is a bit more complex than just changing a path in some parameter file. Unfortunately, I can't find any documentation on this.
What is the most efficient, less troublesome approach?
Should I remove version 3.6 completely and re-install all packages, or is there a way to keep version 3.6 as-is and tweak Jupyter lab to use version 3.7?
python3 jupyter-notebook
asked Jan 7 at 10:51
JCFJCF
1
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I am currently using Jupyter lab on a Python 3.6 version.
I would like now to switch to version 3.7.
As version 3.7 requires to re-install packages, I suppose that the solution is a bit more complex than just changing a path in some parameter file. Unfortunately, I can't find any documentation on this.
What is the most efficient, less troublesome approach?
Should I remove version 3.6 completely and re-install all packages, or is there a way to keep version 3.6 as-is and tweak Jupyter lab to use version 3.7?
python3 jupyter-notebook
asked Jan 7 at 10:51
JCFJCF
1
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I am currently using Jupyter lab on a Python 3.6 version.
I would like now to switch to version 3.7.
As version 3.7 requires to re-install packages, I suppose that the solution is a bit more complex than just changing a path in some parameter file. Unfortunately, I can't find any documentation on this.
What is the most efficient, less troublesome approach?
Should I remove version 3.6 completely and re-install all packages, or is there a way to keep version 3.6 as-is and tweak Jupyter lab to use version 3.7?
python3 jupyter-notebook
python3 jupyter-notebook
asked Jan 7 at 10:51
JCFJCF
1
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Jan 7 at 10:51
JCFJCF
1
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Jan 7 at 10:51
JCFJCF
1
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked Jan 7 at 10:51
JCFJCF
1
asked Jan 7 at 10:51
JCFJCF
1
1
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
JCF is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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