The IPython notebook talks to the kernels over predefined ports. To talk to a remote kernel, you just need to forward the ports to the remote machine as part of the kernel initialisation, the notebook doesn’t care where the kernel is as long as it can talk to it. You could either set up a … Read more
As you want to change the figure, instead of creating a new one, may I suggest the following way: Use an interactive backend; %matplotlib notebook Update the line in the plot, instead of drawing new ones. So the code could look something like this: %matplotlib notebook from ipywidgets import * import numpy as np import … Read more
The kernel is busy. Go to the menu Kernel and click Interrupt. If this does not work click Restart. You need to go in a new cell and press Shift + Enter to see if it worked.
Here’s what worked for me (non conda python): (MacOS, brew version of python. if you are working with system python, you may (will) need prepend each command with sudo) First activate virtualenv. If starting afresh then, e.g., you could use virtualenvwrapper: $ pip install virtualenvwrapper $ mkvirtualenv -p python2 py2env $ workon py2env # This … Read more
A more elegant solution would be: args, unknown = parser.parse_known_args() instead of args = parser.parse_args()
You need to change init_notebook_mode call and remove connected=True, if you want to work in offline mode. Such that: # Import the necessaries libraries import plotly.offline as pyo import plotly.graph_objs as go # Set notebook mode to work in offline pyo.init_notebook_mode() # Create traces trace0 = go.Scatter( x=[1, 2, 3, 4], y=[10, 15, 13, 17] … Read more
The jupyterlab-lsp extension offers this as an opt-in feature. After installing the extension in JupyterLab 3.0+ (which is two part: jupyterlab-lsp and the language server of your choice – see the linked instructions) you need to enable it in Advanced Settings Editor → Code Completion → continuousHinting: Disclaimer: I am one of the authors. This … Read more
@cel is right: ipython notebook clear cell output in code Using the clear_output() gives makes your Notebook have the jitters, though. I recommend using the display() function as well, like this (Python 2.7): from random import uniform import time from IPython.display import display, clear_output def black_box(): i = 1 while True: clear_output(wait=True) display(‘Iteration ‘+str(i)+’ Score: … Read more
Install django-extensions from https://github.com/django-extensions/django-extensions/blob/master/docs/index.rst pip install django-extensions Change your settings file to include ‘django-extensions’ INSTALLED_APPS += [‘django_extensions’] Run your Django server like this: python manage.py shell_plus –notebook alter to suit, and run this in your first cell import os, sys PWD = os.getenv(‘PWD’) os.chdir(PWD) sys.path.insert(0, os.getenv(‘PWD’)) os.environ.setdefault(“DJANGO_SETTINGS_MODULE”, “local_settings.py”) import django django.setup() Now you should be … Read more
Here’s a recipe I copied from one of Alex Mordvintsev deep dream notebook at some point from IPython.display import clear_output, Image, display, HTML import numpy as np def strip_consts(graph_def, max_const_size=32): “””Strip large constant values from graph_def.””” strip_def = tf.GraphDef() for n0 in graph_def.node: n = strip_def.node.add() n.MergeFrom(n0) if n.op == ‘Const’: tensor = n.attr[‘value’].tensor size … Read more