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jupyter
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Hi,
I have a heatmap style plot based on the les_mis.py example.
I am configuring the LinearColorMapper with a low_color value and the plot shows it correctly, but the ColorBar does not, even if I explicitly give it a FixedTicker
import pandas as pd
import numpy as np
import bokeh.palettes as palettes
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/kind feature
Persona: Infrastructure Engineer
Control Plane Walkthrough:
- Install Kubeflow with (istio) KfDefs
- Install Kubeflow with dex - pending
- Configure / Get Istio IngressGateway endpoint
- Create profiles (w/ kubectl) #4725
- Create notebooks from user-namespace (w/ kubectl)
- Login (port-forward) into notebook as user
- Create TFJob (w/ kubec
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could you add one of the spellchecker plugins?
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how to use gui in the AidLearning?how to custom the gui?
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
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The example book created by jupyter-book create creates files with permissions 775. None of these files are really executable, and therefore the correct permissions should be 664 (or probably 644)
To Reproduce
jupyter-book create test; ls -al test
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To guide users towards doing things right, could we suggest they use the magics instead of the shell invocations? Possibly with a short explanation why. Was also mentioned in ipython/ipython#11524 (comment).