There is a lot of information available to run Jupyter Notebook with Anaconda but could not find any info to run Jupyter without Anaconda.
Any pointer would be much appreciated!
Basically the process is as follows:
pip3 install --upgrade pip
pip3 install jupyter
jupyter notebook # run notebook
Run a specific notebook:
jupyter notebook notebook.ipynb
Using custom IP or port:
jupyter notebook --port 9999
No browser:
jupyter notebook --no-browser
Help:
jupyter notebook --help
Answer from the following sources:
SOURCE 1
SOURCE 2
See Gordon Ball's Jupyter PPA, the most actively maintained Jupyter PPA as of this writing with support for both Ubuntu 16.04 and 18.04 (LTS).
Installation: It's a Ball
Thanks to Gordon's intrepid efforts, installation of Jupyter under Ubuntu trivially reduces to:
sudo add-apt-repository ppa:chronitis/jupyter
sudo apt-get update
sudo apt-get install jupyter
Doing so installs the jupyter metapackage, providing:
A standard collection of Jupyter packages published by this PPA, including:
Jupyter's core and client libraries.
Jupyter's console interface.
Jupyter's web-based notebook.
Tools for working with and converting notebook (ipynb) files.
The Python3 computational kernel.
The /usr/bin/jupyter executable.
As W. Dodge's pip-based solution details, the browser-based Jupyter Notebook UI may then be launched from a terminal as follows – where '/home/my_username/my_notebooks' should be replaced with the absolute path of the top-level directory containing all of your Jupyter notebook files:
jupyter notebook --notebook-dir='/home/my_username/my_notebooks'
Why Not Acanaconda or pip?
For Debian-based Linux distributions, the optimal solution is a Debian-based personal package archive (PPA). All other answers propose Debian-agnostic solutions (e.g., Anaconda, pip), which circumvent the system-wide APT package manager and hence are non-ideal.
Installing Jupyter via this or another PPA guarantees automatic updates to both Jupyter and its constellation of dependencies. Installing Jupyter via either Anaconda or pip requires manual updates to both on an ongoing basis – a constant thorn in the side that you can probably do without.
In short, PPA >>>> Anaconda >> pip.
There are two ways to install Jupyter-Notebook in Ubuntu. One is using Anaconda, the other using pip. Please go through the below added link for details.
http://jupyter.readthedocs.io/en/latest/install.html
Related
I got this error and really I could not find a solution. I have a working version of my program previously installed on a separated working environment. I could not make new installations work even with the same packages version.
Here is what I am doing(for having same versions)
pip install jupyterlab==3.4.3
pip install ipyvuetify==1.8.2
pip install voila==0.3.5
jupyter labextension install jupyter-vuetify
jupyter nbextension enable --py ipyvuetify
jupyter nbextension enable --py ipyvue
jupyter nbextension enable --py widgetsnbextension
voila es.ipynb --enable_nbextensions=True
no error is displayed on voila kernel
The file works properly if I run in jupyter lab like this
jupyter lab es.ipynb
Thanks for any help
I solve the issue by downgrading ipywidgets like this
pip install ipywidgets==7.7.1
jupyter labextension install #jupyter-widgets/jupyterlab-manager
The new 8 version give some problem:
https://github.com/voila-dashboards/voila/issues/1188
Background: while running Jupyter Notebook a new import was failing even though the library was installing successfully using pip3. Some of the set up for the code I was running was done in PyCharm which was using a virtual Python 3.8.2 environment. The failing import library is in the virtual environment so why isn't Jupyter seeing it?
I went looking and found that there are multiple versions of Python installed:
/Library/Python/2.7
/Library/Frameworks/Python.framework/Versions/3.8
/usr/local/bin/python3
/usr/local/bin/python3.8
/usr/local/bin/jupyter (included this in case it clarifies things)
/usr/bin/python
/usr/bin/python3
/usr/local/Cellar/python/3.7.6_1
/Users/xxx/anaconda3/bin/python3.7 (anaconda was uninstalled months ago so why is this still here?)
/Users/xxx/git/moat-ds/venv/lib/python3.8
I have installed pyenv and virtualenv and tried (unsuccessfully) to sort things out through this and similar articles. But all of this has only left me with questions:
what are these different directories doing?
when launched what is Jupyter notebook using for 'python 3' kernel?
where are the python packages stored when I run pip3 at the CLI (in pycharm packages are put in the \venv folder but otherwise?)
installing jupyter with pip from pyenv fixed my problem
brew uninstall jupyter
pip install jupyter
and after restarting your console it should be pyenv's jupyter
After trying #Akbar30bill's answer without success I did brew doctor and restarted my terminal and tried again and it worked. Wasn't linked correctly or something.
When I execute jupyter notebook in my virtual environment in Arch Linux, the following error occurred.
Error executing Jupyter command 'notebook': [Errno 2] No such file or directory
My Python version is 3.6, and my Jupyter version is 4.3.0
How can I resolve this issue?
It seems to me as though the installation has messed up somehow. Try running:
# For Python 2
pip install --upgrade --force-reinstall --no-cache-dir jupyter
# For Python 3
pip3 install --upgrade --force-reinstall --no-cache-dir jupyter
This should reinstall everything from PyPi. This should solve the problem as I think running pip install "ipython[notebook]" messed things up.
For me the issue was that the command jupyter notebook changed to jupyter-notebook after installation.
If that doesn't work, try python -m notebook, and if it opens, close it, then
export PATH=$PATH:~/.local/bin/, then refresh your path by opening a new terminal, and try jupyter notebook again.
And finally, if that doesn't work, take a look at vim /usr/local/bin/jupyter-notebook, vim /usr/local/bin/jupyter, vim /usr/local/bin/jupyter-lab (if you have JupyterLab) and edit the #!python version at the top of the file to match the version of python you are trying to use. As an example, I installed Python 3.8.2 on my mac, but those files still had the path to the 3.6 version, so I edited it to #!/Library/Frameworks/Python.framework/Versions/3.8/bin/python3
Try this command: python -m IPython notebook
Credits to the GitHub user Milannju who provided the solution here.
This worked for me. (Python 3.6 on Ubuntu 18.04 LTS)
export PATH=$PATH:~/.local/bin/
On Ubuntu 18.10, the following command helped me out.
sudo apt-get install jupyter-notebook
Jupyter installation is not working on Mac Os
To run the jupyter notebook:-> python -m notebook
Use the command below and if you are using pip3 replace pip by pip3
pip install --upgrade --force-reinstall jupyter
This worked for me.
Since both pip and pip3.6 was installed and
pip install --upgrade --force-reinstall jupyter
was failing, so I used
pip3.6 install --upgrade --force-reinstall jupyter
and it worked for me.
Running jupyter notebook also worked after this installation.
Deactivate your virtual environment if you are currently in;
Run following commands:
python -m pip install jupyter
jupyter notebook
For me the fix was simply running pip install notebook
Somehow the original Jupiter install got borked along the way.
I'm trying to get this going on VirtualBox on Ubuntu. Finally on some other post it said to try jupyter-notebook. I tried this and it told me to do sudo apt-get jupyter-notebook and that installed a bunch of stuff. Now if I type command jupyter-notebook, it works.
If you are on Fedora installing python3-notebook resolved my problem.
# dnf install python3-notebook
So I am just starting out with Jupyter and the idea of notebooks.
I usually program in VIM and terminal so I am still trying to figure out somethings.
I am trying to use a Toree kernel.
I am trying to install a kernel that is capable of executing spark and have come across Toree. I installed toree and it appears when I run kernel list. Here is the result:
$ jupyter kernelspec list
Available kernels:
python3 C:\Users\UserName\AppData\Local\Continuum\Anaconda3\lib\site-packages\ipykernel\resources
bash C:\Users\UserName\AppData\Roaming\jupyter\kernels\bash
toree C:\ProgramData\jupyter\kernels\toree
So when I open a toree notebook, the kernel dies and will not restart. Closing the notebook and reopening it results in the kernel changing to Python3.
There is a large error message that gets printed to the host terminal and the notebook error message. There is another post that has been put on hold; they are the same error messages.
I followed this page for the install:
https://github.com/apache/incubator-toree
These instructions are mostly for Linux/Mac is appears.
Any thoughts on how to get a spark notebook on Jupyter?
I understand there is not a lot of information here, If more is needed. Let me know.
I posted a similar question to Gitter and they replied saying (paraphrased) that:
Toree is the future of spark programming on Jupyter and will appear to have installed correctly on a windows machine but the .jar and .sh files will not operate correctly on the windows machine.
Knowing this, I tried it on my Linux (Fedora) and a borrowed Mac. Once jupyter was installed (and Anaconda) I entered these commands:
$ SparkHome="~/spark/spark1.5.5-bin.hadoop2.6"
$ sudo pip install toree
Password: **********
$ sudo jupyter toree install --spark_home=$SparkHome
Jupyter ran the toree notebook on both machines. I presume that a VM might work as well. I want to see if the Window's 10 bash shell will also work with this as I am running windows 7.
Thanks for the other Docs!
The answer from #user3025281 solved the issue for me as well. I had to make the following adjustment for my environment (an Ubuntu 16.04 Linux distro running Spark 2.2.0 and Hadoop 2.7). The downloads are direct file downloads from the hosting sites or a mirror site.
You'll be mostly configurating your environment variables then calling jupyter, assuming it's been installed through anaconda. that's pretty much it
SPARK_HOME="~/spark/spark-2.2.0-bin-hadoop2.7"
Write this into your ~/.bashrc file and then call source on `.bashrc
# reload environment variables
source ~/.bashrc`
Install
sudo pip install toree
sudo jupyter toree install --spark_home=$SPARK_HOME
Optional: On Windows 10, you could use "Bash on Ubuntu on Windows" for configurating jupyter on a linux distro
I am running IPython (and especially a notebook server) on Scientific Linux 6.3 (thus RHEL). I tried to use python3 to run setup and use ipython and also the ipython3 command. However this fails all the time. Before I go into detail with error messages and such - I read somewhere that IPython3 is currently not supported for RHEL derivates (I think the post was relating to Fedora), is this true?
Cheers
Phil
I understand that this is a fairly old question. However, given that Fedora 20 (the current version) comes with IPython 0.13 which lacks some functionality of IPython 2, I decided to write down how I installed it, in hopes that someone might find it useful. My focus was on the newest version of IPython Notebook.
Edit: I was just made aware of this IPython backport repo.
All yum and pip* commands here are to be run as the root. Those disliking such approach can prepend sudo do all yum and pip* commands and run the rest of them without sudo.
Remove RPMs of IPython (to avoid collisions):
yum remove python-ipython\* python3-ipython\*
Install pip:
yum install python-pip python3-pip
Install additional Python dependencies (it did work for me without these, but I didn't test much, so something might break down without these):
yum install python-jinja2 python-markupsafe python3-jinja2 python3-markupsafe python-devel python3-devel
Install IPython for both Python 2 and Python 3:
pip install ipython[all]
pip-python3 install ipython[all]
I've read somewhere that on Ubuntu, pip-python3 is called pip3.
To run IPython Notebook for Python 2 (do this as an ordinary user, not the root):
ipython notebook
To run IPython Notebook for Python 3 (do this as an ordinary user, not the root):
ipython3 notebook
To test your installation, call iptest or iptest3 (again, as an ordinary user, not the root). These tests may fail, so you might need additional packages for them to pass. For me, PyZMQ failed. This was fixed by installing two more packages:
yum install python-zmq-tests python3-zmq-tests
Many thanks to IPython-dev mailing list members Zoltán Vörös, for pointing me in the right direction, and Roberto Colistete Jr., for additional Python dependencies.