Copy link for launch Jupyter Notebook

See also questions close to this topic

• How to clear memory after running cell in IPython notebook

  I run a cell in my IPython notebook and python3's memory usage goes up by ~100MB. After I run it again, python3's memory usage again goes up by ~100MB. After a few runs, my computer has run out of memory and programs are crashing.

  I can fix this by resetting the IPython kernel, but then I lose the state of my entire notebook. Is there a way to clear the memory used by that particular cell when I re-run the cell, so that old runs don't just accumulate until my computer crashes?
• Get oauth token from jupyterlab

  Can I get the oauth access token from logging in to Jupyterlab. Username/pw are already provided and authenticated when you log in Jupyterlab. I would like to extract those same access token if possible?

  Currently I can do jupyter notebook list that will provide a list of token for currently running servers. What kind of token are these? These are the token to validate requests to the jupyter notebook right? Not necessarily the oauth token that authenticated the user/pw?
• No module named 'jqmcvi'

  I'm using Jupyter Notebook and I'm a very beginner. I'm stuck with the jqmcvi module I use for the Dunn index in clustering. I've already tried installations like !pip install jqmcvi which doesn't work.

  Can you help me and tell me what I need to do/install to use the jqmcvi module please? Thank you in advance.
• Use netcdf4 with Jupyter Notebook

  I am Currently Working on my Bachelors Degree, where I am to do a Data-Analysis using Jupyter Notebook. Normally I only write "normal" Python and Java code. For this I need to open .NC Files, and a quick Google search told me to use netcdf4. Within my Anaconda Manager this was not a problem, but I can't seem to get it to work within Jupyter.

  Here you can see what I tried. I can do "import sys" and "!{sys.executable} -m pip install netcdf4" (which i got from another Stackoverflow Thread), but "import netcdf4 as nc" doesnt work. (Error Code

  
  ModuleNotFoundError                       Traceback (most recent call last)
  <ipython-input-32-6eba77c50763> in <module>
  ----> 1 import netcdf4 as nc
  ModuleNotFoundError: No module named 'netcdf4' 
  

  Can somebody tell me what I am doing wrong?
• How to properly set python kernels in jupyter?

  If I list the jupyter kernels I get the following

  jupyter kernelspec list
  Available kernels:
    python3    /Users/myName/Library/Jupyter/kernels/python3
    python2    /usr/local/share/jupyter/kernels/python2
  

  However if I open jupyter and I choose python3 as kernel I get that it is running python2

  

  How can I properly set the kernel to the specific python version? I am working on mac machine and I have installed everything trough pip3
• Overwrite string of Jupyter Output widget

  How do I overwrite a string that is printed by Jupyter Output widget?

  For instance, I know how to do that using simple print statements:

  from IPython.display import display, clear_output
  
  
  fruits = ["apple", "orange", "kiwi"]
  
  for fruit in fruits:
      clear_output()
      print(f"Do you like {fruit}s?")
  

  Produces what I would expect: the string is printed once for each new fruit, overwriting the previous string. In my example, the last printed statement is Do you like kiwis?.

  But I need to do that with Output widget instead of print statement. I tried:

  import ipywidgets as widgets
  
  
  out = widgets.Output()
  
  for fruit in fruits:
      out.clear_output()
      out.append_stdout(f"Do you like {fruit}s?")
  
  out
  

  And I get: Do you like apples?Do you like oranges?Do you like kiwis?, which is not what I want!

  I also tried placing out.clear_output() after the append_stdout, and I get a blank line. It seems like in this case each string is actually cancelled before the new one is printed, but also the last string is cancelled!

  I appreciate any suggestions!

  Final note: This question is a minimalist example from another question, that has not yet received an answer. If you need more context, feel free to also read that question!