i never did anything but type the command conda update --all, when all finished, my jupyter notebook start to display Chinese on toolbar, but i hope it can still display English.
what can i do to restore this change, but keep the newest version of jupyter? my interface of jupyter notebook are look as the pic below(sorry that i can't post pic temporarily):
Related
I've been using Jupyter Lab and everytime I open it, it has all of my notebooks from previous session open in Tabs and as open Kernels. I want to open my Jupyter with a fresh window that doesn't have anything I was working on previously.
How can I either modify my profile or Jupyter lab command to not include any previous Tabs or open Kernels?
I installed Anaconda 3 in Linux and tried to open Jupyter notebook in browser by typing 'jupyter notebook' in terminal.
But what I've got is the screen I added below.
As I guess, Jupyter Notebook is currently opened via 'Elinks', but I have no idea about what this is.
Do you know how to open Jupyter Notebook in the browser I want, such as Firefox or Chrome?
I wanted to add some information in case you wanted to later access juypter notebook via elinks (or any other text-based web browser in terminal).
I will also go over opening jupyter notebook with Anaconda Navigator.
First, You need to first install Node.js Javascript Runtime Environment by running this command in terminal.
sudo apt-get install node.js
Next, close and reopen terminal (I always do this when installing new software via command line).
When you next try to access your jupyter notebook via elinks it will ask for a token or password.
Option 1 : Token.
Find the token by entering jupyter notebook list in terminal.
Option 2 : Password.
You can create a password for jupyter notebook by entering jupyter notebook password in the terminal.
You can now use the token or your newly created password in order to access jupyter notebook via full-featured text web browser such as elinks.
If you want to access jupyter notebook via Firefox, Chrome, etc. then just use anaconda. This will automatically open jupyter notebook in your standard web browser.
Enter anaconda-navigator in terminal.
Once anaconda navigator opens, simply launch jupyter notebook from the selection.
You can set Firefox or Chrome as default browser, then it should open directly in it.
If it still doesn't, you can always copy the URLs which are displayed when jupyter notebook is started, and paste it in your browser.
To access the notebook, open this file in a browser:
file:///home/harshit/.local/share/jupyter/runtime/nbserver-2985-open.html
Or copy and paste one of these URLs:
http://localhost:8888/?token=9fc770713dbd755750bbe842896420ecfa7abc038581fc04
or http://127.0.0.1:8888/?token=9fc770713dbd755750bbe842896420ecfa7abc038581fc04
By the way, jupyter notebook doesn't work, because, by default, JS is not enabled in eLinks browser (you can enable it).
Installed WSL on Windows 10.
Installed Anaconda according to the Anaconda documentation with the following commands:
bash Anaconda3-2020.02-Linux-x86_64.sh
source ~/.bashrc
You can see the '(base)' in the beginning of each command input line, indicating the conda is activated.
Then I run jupyter notebook by typing:
jupyter notebook
Then I see the following changes as shown in the screen record.
Briefly, the WSL terminal window showed some information very quickly, but is changed to the windows powershell window before you could even tell the information that showed up. I know those information should contain a file and url for opening the jupyter notebook in the web browser. But they flashed out so quickly. Does anyone know why this happens?
Here is a dynamic graph of the Screen record of this issue:
Solved:
1. Wait for a bit more time on the windows cmd and the jupyter notebook running information will show up, where includes the url to open jupyter notebook in the web browser.
OR
Open up another wsl terminal, activate the same environment and type jupyter notebook list, which will show the current running jupyter notebook server. The url is also can be found there.
I'm trying to change the default working directory for Jupyter notebooks (anaconda installation). I've looked up many different answers, most of which focus on changing the jupyter_notebook_config.py file, but none of those work.
Some of the things i've tried:
This medium article
This github issue (bottom reply)
This
This too
No matter what I try, whenever I start jupyter notebook the directory I see is C:\Users\me.
I admit part of the problem is that I'm not great with command line things which makes some of the answers difficult to understand.
If you run the Jupyter Notebook from the Windows Start Menu then you have to change the command running Jupyter Notebook in the shortcut. Right click on the Start Menu on the shortcut, open file location, right click on the Jupyter Notebook shortcut, select Properties, and in the Terget Textbox, change the "%USERPROFILE%" part in what you wand or if you have changed the Jupyter config file, delete this part.
In Jupyterlab, there is a text editor that we can open .py files, is it possible to also turn on tab completion, just like how it works in Notebook ?
By now, tab completion in the text editor of jupyter lab has been implemented in this pull request (see also discussion in this issue). However, for it to be working you need to open a console for the editor (right click in the editor window and select Create Console for Editor).
No, it is currently an open issue. https://github.com/jupyterlab/jupyterlab/issues/1276
The package jupyterlab-lsp now provides tab completion in the text editor. You need can install it from pip or conda, along with a language server for Python:
pip install jupyter-lsp
pip install jedi-language-server
I also needed to enable the server side extension:
jupyter server extension enable --user --py jupyter_lsp
And enabled #krassowski/jupyterlab-lsp and #krassowski/completion-theme via JupyterLab's extension GUI (the puzzle piece on the right hand side). Then I restarted JupyterLab, and completion worked (with Tab). I am not sure if all these steps are neccessary, it might depend on your environment.