Thanks to @Darthbith and this post How to change the default browser used by the ipython/jupyter notebook in Linux? I was able to figure it out: Step 1: To open Anaconda Prompt from the Start Menu and type # for old notebook and JupyterLab < 3.0, or jupyter notebook –generate-config # for new nbclassic and … Read more
If you are absolutely sure that your Python library path is in your system variables (and you can find that path when you pip install Jupyter, you just have to read a bit) and you still experience “command not found or recognized” errors in Windows, you can try: python -m notebook For my Windows at … Read more
Determining why jupyter notebook kernel dies can be daunting sometimes. When kernel dies as a result of library issues, you might not get any feedback as to what is causing it. Try running the code that is causing the kernel to die in a terminal or in ipython. One common issue I have identified is … Read more
This is because the indentation is screwed up. For consistency the codemirror parser will make a red line if it’s not indented 4 spaces (or if it’s indented with tabs, depending on codemirror version). The parser has some edge case that indeed highlight only a few of theses lines in red, I won’t go into … Read more
After playing around with my table which has a lot of columns I decided the best thing to do to get a feel for the data is to use: df.show(n=5, truncate=False, vertical=True) This displays it vertically without truncation and is the cleanest viewing I can come up with.
From version 5.0, you can easily change current password with jupyter notebook password command.
There is no presentation mode. They should implement one though, so keep using what you are using.
First of all, check what’s in your ~/.jupyter/ folder. Some of the comments under the question mention you have a file named “MIGRATED” that contains only a timestamp. If you are in this state, run the command: jupyter notebook –generate-config which will create a new file ~/.jupyter/jupyter_notebook_config.py. If you already have this file, you don’t … Read more
Jupyter uses the environment variable $SHELL to decide which shell to launch. If you are running jupyter using init then this will be set to dash on Ubuntu systems. My solution is to export SHELL=/bin/bash in the script that launches jupyter.
Way easier: Just add the following to your notebook: In [1]: import os os.environ[‘http_proxy’] = “http://user:passwd@host:port” os.environ[‘https_proxy’] = “https://user:passwd@host:port” after that, requests will work OK=200, e.g. In [2]: import requests requests.get(“https://google.com”) Out[2]: <Response [200]>