Better code completion in python notebooks
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How come python code suggestion is awful in notebooks and spyder? Smetimes it shows classes methods and variables, sometimes not
python pandas numpy jupyter
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How come python code suggestion is awful in notebooks and spyder? Smetimes it shows classes methods and variables, sometimes not
python pandas numpy jupyter
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3nomis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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How come python code suggestion is awful in notebooks and spyder? Smetimes it shows classes methods and variables, sometimes not
python pandas numpy jupyter
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3nomis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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How come python code suggestion is awful in notebooks and spyder? Smetimes it shows classes methods and variables, sometimes not
python pandas numpy jupyter
python pandas numpy jupyter
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3nomis is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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asked 3 hours ago
3nomis3nomis
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If you are working locally (running e.g. starting up a Jupyter notebook from a terminal on localhost) code completiong should work just fine - I have never had any problems.
If you are running a Jupyter notebook attached to a Pythpon process in a Docker container, there can be issues with code completion (the two-way communication may need to be activated).
You can try running the following ipython "magic command" that makes the interpreter greedy - this has worked for me in the past:
%config IPCompleter.greedy = True
Simply run that in the first Jupyter cell.
Here is a list of all built-in magic commands.
I am afraid I don't know of any differences in these cases between jupyter notebooks and Spyder.
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1 Answer
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active
oldest
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1 Answer
1
active
oldest
votes
active
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oldest
votes
$begingroup$
If you are working locally (running e.g. starting up a Jupyter notebook from a terminal on localhost) code completiong should work just fine - I have never had any problems.
If you are running a Jupyter notebook attached to a Pythpon process in a Docker container, there can be issues with code completion (the two-way communication may need to be activated).
You can try running the following ipython "magic command" that makes the interpreter greedy - this has worked for me in the past:
%config IPCompleter.greedy = True
Simply run that in the first Jupyter cell.
Here is a list of all built-in magic commands.
I am afraid I don't know of any differences in these cases between jupyter notebooks and Spyder.
$endgroup$
add a comment |
$begingroup$
If you are working locally (running e.g. starting up a Jupyter notebook from a terminal on localhost) code completiong should work just fine - I have never had any problems.
If you are running a Jupyter notebook attached to a Pythpon process in a Docker container, there can be issues with code completion (the two-way communication may need to be activated).
You can try running the following ipython "magic command" that makes the interpreter greedy - this has worked for me in the past:
%config IPCompleter.greedy = True
Simply run that in the first Jupyter cell.
Here is a list of all built-in magic commands.
I am afraid I don't know of any differences in these cases between jupyter notebooks and Spyder.
$endgroup$
add a comment |
$begingroup$
If you are working locally (running e.g. starting up a Jupyter notebook from a terminal on localhost) code completiong should work just fine - I have never had any problems.
If you are running a Jupyter notebook attached to a Pythpon process in a Docker container, there can be issues with code completion (the two-way communication may need to be activated).
You can try running the following ipython "magic command" that makes the interpreter greedy - this has worked for me in the past:
%config IPCompleter.greedy = True
Simply run that in the first Jupyter cell.
Here is a list of all built-in magic commands.
I am afraid I don't know of any differences in these cases between jupyter notebooks and Spyder.
$endgroup$
If you are working locally (running e.g. starting up a Jupyter notebook from a terminal on localhost) code completiong should work just fine - I have never had any problems.
If you are running a Jupyter notebook attached to a Pythpon process in a Docker container, there can be issues with code completion (the two-way communication may need to be activated).
You can try running the following ipython "magic command" that makes the interpreter greedy - this has worked for me in the past:
%config IPCompleter.greedy = True
Simply run that in the first Jupyter cell.
Here is a list of all built-in magic commands.
I am afraid I don't know of any differences in these cases between jupyter notebooks and Spyder.
answered 2 hours ago
n1k31t4n1k31t4
5,7362318
5,7362318
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