Tag: raspberry

  • Configure Jupyter Notebook on Raspberry PI 2 for remote access and scala kernel install

    Hi,

    This is a continuation of the previous article regarding Jupyter Notebook (http://log-it.tech/2017/09/02/installing-jupyter-notebook-raspberry-pi-2/) Let’s start with my modification in order to have an remote connection to it. It first needs a password in the form of password hash. To generate this pass run python cli and execute this code from IPython.lib import passwd;passwd(“your_custom_password”). Once you get the password hash, we can list the fields that i uncommented to activate minimal remote access:

    c.NotebookApp.open_browser = False #do not open a browser on notebook start, you will access it by daemon remotely
c.NotebookApp.ip = '*' #permite access on every interface of the server
c.NotebookApp.password = u'[your_pass_has]' #setup password in order to access the notebook, otherwise token from server is required (if you want it this way you can get the token by running sudo systemctl status jupyter.service

    You can also add them at the bottom of the file as well. In order for the changes to take effect you will need also to perform a service restart with sudo systemctl restart jupyter.service.

    You have now the basic steps to run Jupyter Notebook with the IPython 2 kernel. Now lets’s ger to the next step of installing the scala kernel(https://www.scala-lang.org).

    The steps are pretty straight forward and they are taken from this link https://www.packtpub.com/mapt/book/big_data_and_business_intelligence/9781785884870/9/ch09lvl1sec65/installing-the-scala-kernel , what i tried is to put it end to end. I am not 100% sure if you need also java 8 but i installed it anyway, you will find the steps here https://www.raspinews.com/installing-oracle-java-jdk-8-on-raspberry-pi/ but what you really need to install is sbt.

    The catch here is that you don’t need to search for sbt on raspberry, just drop the default one, it will do the job. The steps are listed here http://www.scala-sbt.org/release/docs/Installing-sbt-on-Linux.html. Once it is installed you can return to the link listed above and just run the steps:

    apt-get install git
git clone https://github.com/alexarchambault/jupyter-scala.git
cd jupyter-scala
sbt cli/packArchive

    Sbt will grab a lot of dependences, if you work with proxies i am not aware of the settings that you need to do, but you can search it and probably you find a solution. Have patience, it will take a while until it is done, but once it is done you can run ./jupyter-scala in order to install the kernel and also check if it works with jupyter kernelspec list.

    Restart the Jupyter Notebook to update it, although i am not convinced if it’s necessary 🙂
    In my case i have a dynamic dns service from my internet provider but i think you can do it with a free dns provider on your router as well. An extra forward or NAT of port 8888 will be needed but once this is done you should have a playgroup in your browser that knows python and scala. Cool, isn’t it?

    Cheers

  • Installing Jupyter Notebook on Raspberry PI 2

    Morning,

    Just want to share you that i managed to install the Jupyter Notebook(http://jupyter.org) on a Raspberry PI 2 without any real problems. Beside a microSD card and a Raspberry you need to read this and that would be all.
    So, you will need a image of Raspbian from https://www.raspberrypi.org/downloads/raspbian/ (i selected the lite version without the GUI, you really don’t need that actually). In installed it on the card with Linux so i executed a command similar with dd if=[path_to_image]/[image_name] of=[sd_device_name taken from fdisk -l without partition id usually /dev/mmcblk0] bs=4MB; sync. The sync command is added just to be sure that all files are syncronized to card before remove it. We have now a working image that we can use on raspberry, it’s fair to try boot it.
    Once it’s booted login with user pi and password raspberry. I am a fan of running the resize steps which you can find here https://coderwall.com/p/mhj8jw/raspbian-how-to-resize-the-root-partition-to-fill-sd-card.
    Ok, so we are good to go on installing Jupyter Notebook, at first we need to check what Python version we have installed and in my case it was 2.7.13 (it should be shown by running python –version). In this case then we need to use pip for this task, and it’s not present by default on the image.
    Run sudo apt-get install python-pip, after this is done please run pip install jupyter. It will take some time, but when it is done you will have a fresh installation in pi homedir(/home/pi/.local).
    It is true that we need also a service, and in order to do that, please create following path with following file:
    /usr/lib/systemd/system/jupyter.service

    [Unit]
Description=Jupyter Notebook

[Service]
Type=simple
PIDFile=/run/jupyter.pid
# Step 1 and Step 2 details are here..
# ------------------------------------
ExecStart=/home/pi/.local/bin/jupyter-notebook --config=/home/pi/.jupyter/jupyter_notebook_config.py
User=pi
Group=pi
WorkingDirectory=/home/pi/notebooks
Restart=always
RestartSec=10
#KillMode=mixed

[Install]
WantedBy=multi-user.target

    You are probably wondering from where do you get the config file. This will be easy, just run /home/pi/.local/bin/jupyter notebook –generate-config

    After the file is created, in order to activate the service and enable it there are sudo systemctl enable jupyter.service and sudo systemctl start jupyter.service

    You have now a fresh and auto managed jupyter service. It will be started only on the localhost by default, but in the next article i will tell you also the modifications to be executed in order to run it remotely and also install scala kernel.

    Cheers!