I'd like to install and enable Table of Contents (2) plugin using command-line.
The docs suggest that I can do the following
jupyter nbextension enable <nbextension require path>
How do I find this path for this extension?
Easy solution:
1/ Visit this unofficial list of nbextensions:
https://jupyter-contrib-nbextensions.readthedocs.io/en/latest/nbextensions.html
and pick the extension you want to enable. Say e.g. that I want to enable "Collapsible Headings", then
2/ type:
jupyter nbextension enable collapsible_headings/main
If the extension is enabled you will see an OK message.
So in general type:
jupyter nbextension enable <name_of_extension>/main
Most of the times it will work for you.
Based on #jfbercher's comemnt in jupyter_contrib_nbextensions#947:
jupyter nbextension install <url>/toc2.zip --user
jupyter nbextension enable toc2/main
If a non-default directory is used in nbextensions_configurator, it can be obtained like the code here:
nbextension_dirs = nbapp_webapp.settings['nbextensions_path']
Yeah this does seem like a bit of an oversight. I tried to install the configurator... but had issues.
The approach that worked for me was to look in ~/.local/share/jupyter/nbextensions or similar (you might need to use a docker run image /bin/bash if you are drinking too much koolaid - or your employer is forcing you to. ).
There is then a .js file in various directories which I think correspond to the extension names. E.g. hinterland/hinterland.js means the extension is called hinterland/hinterland.
Related
I just want that autocomplete feature like I have in VC studio and pycharm in jupyter notebook, is there any way folks? I saw in some youtube tutorials people completing the code using the tool, any idea about that?
There is a hinterland functionality that when enabled then auto-complete code works.
For you to access the functionality first install jupyter_contrib_nbextensions as follows:
Install the python package
pip install jupyter_contrib_nbextensions
Then install javascript and css files
jupyter contrib nbextension install --user
More information on how to install can be found here
Then re-start the jupyter notebook. Look for a tab named Nbextensions and click on it. Then look for Hinterland and make sure that it is checkd:
Refresh/Restart jupyter notebook for changes to take place.
You just have to click the "Tab"-Button after typing something (e.g. a Class name followed by a dot). Then you find suggestions that you can insert by using Tab or Enter.
I followed the Software Collections Quick Start and I now have Python 3.5 installed. How can I make it always enabled in my ~/.bashrc, so that I do not have to enable it manually with scl enable rh-python35 bash?
Use the scl_source feature.
Create a new file in /etc/profile.d/ to enable your collection automatically on start up:
$ cat /etc/profile.d/enablepython35.sh
#!/bin/bash
source scl_source enable python35
See How can I make a Red Hat Software Collection persist after a reboot/logout? for background and details.
This answer would be helpful to those who have limited auth access on the server.
I had a similar problem for python3.5 in HostGator's shared hosting. Python3.5 had to be enabled every single damn time after login. Here are my 10 steps for the resolution:
Enable the python through scl script python_enable_3.5 or scl enable rh-python35 bash.
Verify that it's enabled by executing python3.5 --version. This should give you your python version.
Execute which python3.5 to get its path. In my case, it was /opt/rh/rh-python35/root/usr/bin/python3.5. You can use this path to get the version again (just to verify that this path is working for you.)
Awesome, now please exit out of the current shell of scl.
Now, lets get the version again through this complete python3.5 path /opt/rh/rh-python35/root/usr/bin/python3.5 --version.
It won't give you the version but an error. In my case, it was
/opt/rh/rh-python35/root/usr/bin/python3.5: error while loading shared libraries: libpython3.5m.so.rh-python35-1.0: cannot open shared object file: No such file or directory
As mentioned in Tamas' answer, we gotta find that so file. locate doesn't work in shared hosting and you can't install that too.
Use the following command to find where that file is located:
find /opt/rh/rh-python35 -name "libpython3.5m.so.rh-python35-1.0"
Above command would print the complete path (second line) of the file once located. In my case, output was
find: `/opt/rh/rh-python35/root/root': Permission denied
/opt/rh/rh-python35/root/usr/lib64/libpython3.5m.so.rh-python35-1.0
Here is the complete command for the python3.5 to work in such shared hosting which would give the version,
LD_LIBRARY_PATH=/opt/rh/rh-python35/root/usr/lib64 /opt/rh/rh-python35/root/usr/bin/python3.5 --version
Finally, for shorthand, append the following alias in your ~/.bashrc
alias python351='LD_LIBRARY_PATH=/opt/rh/rh-python35/root/usr/lib64 /opt/rh/rh-python35/root/usr/bin/python3.5'
For verification, reload the .bashrc by source ~/.bashrc and execute python351 --version.
Well, there you go, now whenever you login again, you have got python351 to welcome you.
This is not just limited to python3.5, but can be helpful in case of other scl installed softwares.
I wrote a .spec file on RHEL and I am building RPM using rpmbuild. I need ideas on how to handle the situation below.
My RPM creates an empty logs directory when it installs first time within the installation folder like below
/opt/MyInstallation-1.0.0-1/some executables
/opt/MyInstallation-1.0.0-1/lib/carries shared objects(.so files)
/opt/MyInstallation-1.0.0-1/config/carries some XML and custom configuration files(.xml, etc)
/opt/MyInstallation-1.0.0-1/log--->This is where application writes logs
When my RPM upgrades MyInstallation-1.0.0-1, to MyInstallation-1.0.0-2 for example, I get everything right as I wanted.
But, my question is how to preserve log files written in MyInstallation-1.0.0-1? Or to precisely copy the log directory to MyInstallation-1.0.0-2.
I believe if you tag the directory as %config, it is expected that the user will have files in there, so it will leave it alone.
I found a solution or workaround to this by hit and trial method :)
I am using rpmbuild version 4.8.0 on RHEL 6.3 x86_64. I believe it will work on other distros as well.
If you install with one name only like "MyInstallation" rather than "MyInstallation-version number-RPM Build Number" and create "logs directory as a standard directory(no additional flags on it)[See Original Question for scenario] Whenever you upgrade, you normally don't touch logs directory. RPM will leave its contents as it is. All you have to do is to ensure that you keep the line below in the install section.
%install
install --directory $RPM_BUILD_ROOT%{_prefix}/%{name}/log
Here, prefix and name are macros. That has to do nothing with underlying concept.
Regarding config files, the following is a very precise table that will help you guarding your config files. Again, this rule can't be applied on logs our applications create.
http://www-uxsup.csx.cam.ac.uk/~jw35/docs/rpm_config.html
Thanks & Regards.
I'm trying to install the great table of contents extension in a new computer. but I cant find it anymore. the only page I do find does not explain how to install the extension on windows.
So.. How can I install it, and why is it not a part of the official Ipython notebook? I simply can't understand how people are getting along without it.
I've installed toc nbextension successfully with Jupyter 4 (ie. ipython notebook 4) recently.
In fact installing extension is easier than before :)
I post my solution here, may it help.
## download
mkdir toc
cd toc
wget https://raw.githubusercontent.com/minrk/ipython_extensions/master/nbextensions/toc.js
wget https://raw.githubusercontent.com/minrk/ipython_extensions/master/nbextensions/toc.css
## install and enable
cd ..
jupyter-nbextension install --user toc
jupyter-nbextension enable toc/toc
A bit more explain:
install will copy toc to ~/.local/share/jupyter/nbextensions/
enable will modify ~/.jupyter/nbconfig/notebook.json.
You can check these two place to see what happened.
Note: we use enable toc/toc here is because toc.js is in ~/.local/share/jupyter/nbextensions/toc/.
If you put toc.js and toc.css directly in ~/.local/share/jupyter/nbextensions/ then you should use enable toc here.
Edit
Sorry, I didn't notice the orginal problem is on windows. I'm not sure if it's same for windows jupyter, any report is welcome.
Update
Now the toc nbextension has been added into this project which provide a collection of kinds of nbextensions. It's very easy to install and manage, worth to try!
I cannot tell you specific Windows advice, but think the key points should be platform independent:
Create a profile (either a default profile or a named one - you'll probably want default to start).
Locate where the profile is.
Add the custom.js file into the profile.
Edit the custom.js file to point to the notebook extension code.
In a bit more detail, setting up a profile is covered in detail here but for a default profile just go to the command line and enter
ipython profile
Next, locate where your profile is stored by typing at the command line
ipython locate
Call that <profile_dir>.
The rest follows the (Windows equivalent of!) the instructions on the link you have: underneath <profile_dir> navigate to (creating any directories that do not already exist)
<profile_dir>/static/custom/
and add the custom.js file as shown. Then edit the first line, where it has "nbextensions/toc" to point to the location where you have placed the toc.js file you have downloaded. This location is relative to the <profile_dir>; for me I have
<profile_dir>/static/custom/custom.js
<profile_dir>/static/custom/nbextensions/toc.js
<profile_dir>/static/custom/nbextensions/toc.css
and the first line of custom.js reads
require(["/static/custom/nbextensions/toc.js"], function (toc) {
Finally, note that this is with version 1.1.0 of the notebook - if you're using an earlier version I strongly suggest you upgrade before trying this.
You'll also find the official installation instructions at:
https://github.com/minrk/ipython_extensions
These instructions include curl commands for retrieving the toc.js and toc.css files from GitHub, which worked fine for me in a bash shell on linux Mint.
For Windows 7, I used a Git Shell (see http://msysgit.github.io/) to execute the curl commands
This IPython Notebook semi-automatically generates the files for minrk's table of contents in Windows. It does not use the 'curl'-commands or links, but writes the *.js and *.css files directly into your IPython Notebook-profile-directory.
There is a section in the notebook called 'What you need to do' - follow it and have a nice floating table of contents : )
Here is an html version which already shows it:
http://htmlpreview.github.io/?https://github.com/ahambi/140824-TOC/blob/master/A%20floating%20table%20of%20contents.htm
I have an IPython notebook and I would like to use one of my variables inside a markup cell. Is this even possible? If so, how do you do it?
If you don't mind a code cell that does the job, there is a possibility without adding any extensions.
from IPython.display import Markdown as md
fr=2 #GHz
md("$f_r = %i$ GHz"%(fr))
This will show a markdown cell in a nicely LaTeX formatted output
Currently, this is not possible, however there is a large discussion on this topic here https://github.com/ipython/ipython/pull/2592. The PR is currently closed, but a corresponding issue is opened https://github.com/ipython/ipython/issues/2958 and marked as wishlist.
Update
In the meantime an IPython extension has appeared which allows to render python variables in markdown cells. This extension is part of the IPython notebook extensions and works with IPython 2.x and 3.x. For a detailed description see the wiki page.
It is not officially supported, but installing the python markdown extension will allow you to do so. It is part of the nbextensions, for which you will find installation instructions on their github page. Make sure you'll enable the python markdown extension using a jupyter command or the extension configurator.
Calling python variables then should work with the {{var-name}} syntax, which is described in the readme of the corresponding github page (linked in the wiki):
For example: If you set variable a in Python
a = 1.23
and write the following line in a markdown cell:
a is {{a}}
It will be displayed as:
a is 1.23
Further info on this functionality being integrated into ipython/jupyter is discussed in the issue trackers for ipython and jupyter.
The link: installing notebook extention
gives a clear description of what is necessary to enable the use of variables in markdown cells. Following it, performed the following actions to realize it:
conda install -c conda-forge jupyter_contrib_nbextensions
jupyter contrib nbextension install --user
after a successful completion of the above command I enabled the python markup extension, from jupyter dashboard, as per the following illustration:
Last but not least!!! The NOTEBOOK HAS TO BE TRUSTED to make the markup extension works with python variables
and it worked for me!