From 278c013d2e7beeaa9ca916e1a3937ae1dd524c6b Mon Sep 17 00:00:00 2001 From: jrtechs Date: Thu, 6 Feb 2020 15:20:29 -0500 Subject: [PATCH] Started jupyter lab blog post --- .../jupyter-will-change-your-life.md | 146 ++++++++++++++++++ .../open-source/media/jupyter/darkTheme.png | Bin 0 -> 200263 bytes .../posts/open-source/media/jupyter/light.png | Bin 0 -> 210773 bytes .../media/jupyter/localForward.png | Bin 0 -> 329164 bytes .../open-source/media/jupyter/network.jpeg | Bin 0 -> 37191 bytes 5 files changed, 146 insertions(+) create mode 100644 blogContent/posts/open-source/jupyter-will-change-your-life.md create mode 100644 blogContent/posts/open-source/media/jupyter/darkTheme.png create mode 100644 blogContent/posts/open-source/media/jupyter/light.png create mode 100644 blogContent/posts/open-source/media/jupyter/localForward.png create mode 100644 blogContent/posts/open-source/media/jupyter/network.jpeg diff --git a/blogContent/posts/open-source/jupyter-will-change-your-life.md b/blogContent/posts/open-source/jupyter-will-change-your-life.md new file mode 100644 index 0000000..20ba45b --- /dev/null +++ b/blogContent/posts/open-source/jupyter-will-change-your-life.md @@ -0,0 +1,146 @@ +It is not uncommon for me to get exuberantly excited over a open source +project that I stumble upon, however, Jupyter Lab has taken the +cake this month. The Jypyter project is an open-source community +that extended IPython notebook project to the web browser and added +support for multiple languages. + +# Why Notebooks? + +As a researcher and educator I love notebooks because they enable +you to easily share your code with others. Notebooks are much more +interactive than simply sharing source code because you can +mix text(markdown), code, and outputs from code execution. For classes and +when working, this makes it very easy to generate quick reports. +You can simply write a document that auto generates the graphs and figures +you want to talk about in your document. + +Last week I worked on a computer vision assignment that required me to +use Open CV to manipulate images using filters, convolutions, etc. +The entirety of the assignment required me to produce roughly 30 images. +A majority of the class wrote python scripts and threw each image they +generated into a massive word document and typed up their +analysis and submitted their assignment as a PDF along side a bunch of +python scripts. There is nothing wrong with doing that; however, what +happens if at the end of the assignment you realized that you were +generating Gaussian filters incorrectly? If you wrote everything in +a Jupyter notebook you would just have to fix the dubious code and +re-run the notebook and it would produce your report in its entirety. +But, if you had your scripts as separate files you would have to fix your +code and then go through and generate a dozen new images that required +Gaussian filters and place them in your document. + + +The ability to accurately reproduce your report is pinnacle to making +research more verifiable and reproducible. This is something that the +R and open-science communities heavily focus on. Directly mixing your +code and analysis with your report is very useful. Also, consider if the +data that you are working with changes half way through writing your +research report. With a notebook, you would just have to re-run the +notebook where if you had the report as a separate word or Latex file, +you now run the risk of misreporting your results. + + +# Jupyter Notebook + + + + +# Jupyter Lab + + +# Running and Installing + + +# Running for remote use + +Imagine that you are running an old computer and you simply want your +code to run on a remote computer that has a beefie GPU for ML. +With Jupyter Lab or Notebook you can do that, but, it takes a little +trickery. The easiest solution that I found involves using a reverse +SSH proxy. + +![network diagram](media/jupyter/network.jpeg) + + +The first thing that you want to do is set up a password so that you +can connect to the jupyter lab instance using a password rather than using +a authentication key which gets hidden in the terminal. + +```bash +jupyter notebook password +``` + +** note ** the password that you set is configured in the same config used by both jupyter lab and jupyter notebook. + +The next thing you should do is run the jupyter lab instance on the port that you want it to listen to. + +```bash +jupyter lab --no-browser --port=6000 +``` + +The "--no-browser" will prevent jupyter from opening in your default web browser. + + +The next step is to do a local SSH port forward on your machine +so you can access the jupyter instance on the remote server. +The benefit of doing this is that you can get behind firewalls and that +all your traffic is encrypted. + +![local port forwarding](media/jupyter/localForward.png) + +The image above comes from my presentation on "[Everything SSH](https://jrtechs.net/open-source/teaching-ssh-through-a-ctf)". +The essence of the command bellow is that you will forward all +connections on your machines to port 6000 to a remote's servers connection to localhost:6000. + +```bash +ssh -L 6000:localhost:6000 user@some-remote-host.rit.edu +``` + +After you run that command you can access the jupyter lab instance +by opening your favorite web client and going to localhost:6000. +Typing that command every time is tedious so I recommend that you +allias it in your shells config file. + + +```bash +alias jj="ssh -L 6000:localhost:6000 user@some-remote-host.rit.edu" +``` + +Now all you have to type in your command prompt is jj to connect to +your remote jupyter server. Neat. + +But, what if your roommate trips and your server gets restarted? Well, +you can write a systemd script to automatically start your jupyter +server when the computer boots. This is what my system d script looks like. + +```bash +# location /lib/systemd/system +# +# After file creation run: systemctl daemon-reload +# enable service on start up: systemctl enable jupyter-lab +# start the service: systemctl start jupyter-lab + + +[Unit] +Description=Script to start jupyter lab +Documentation=https://jrtechs.net +After=network.target + +[Service] +Type=simple +User=jeff +WorkingDirectory=/home/jeff/Documents/school/csci-431/ +ExecStart=/usr/local/bin/jupyter lab --no-browser --port=6969 +Restart=on-failure + +[Install] +WantedBy=multi-user.target +``` + + +You want to set the working directory to be the location where your jupyter notebooks are stored. +You also want to make sure that you specify the absolute path to the jupyter binary in the execstart parameter. You can find that using the which command: + +```bash +which jupyter +``` diff --git a/blogContent/posts/open-source/media/jupyter/darkTheme.png b/blogContent/posts/open-source/media/jupyter/darkTheme.png new file mode 100644 index 0000000000000000000000000000000000000000..16800a7d5533bc67c5d3a54182531e3f8fa351dc GIT binary patch literal 200263 zcma%jWmr~Q)GZdMfC>oGNC-%Gm--UYAe{oz-5mx<2#9neN|$tlNJ)36bcb}`$??R! z-;eLP`#I0ick{Ait-0nLbBwX{la&@lzm0zz2?+`Pxfnto2?@mu3F&IY&8u*R$`R`u z{Bh0p>2rmfH*b#pl9@(AdWiHK@kGHXZf(L*<;Bni%2rpk>c?-w5v^8TtyZMD$%8rA z>Nx|M10~uhiW2dPCOLy9IYwE!#RJmH6KZm+NI6{huIOW<)YnaZypH+l^^;8Fe@xNpqYuKe=>3F&)) z-{Z%Rjn|lw6k6(9Zm=f(`?G`>QCHCa`y%?)D{TLLV!L_0`@c`!5AO+G`}d>JTOp+X z`xl?8?4*wVkYt#roKM5VP~~EhCeDtQdKQTK{b2wO{WO=w*)e(`|Gj^IKV226WB#jA zr^O8BQ?aZgOIq6Q5`u@ge2K<0{jy)KrKcEl5aPSu{P+7?!Bi;Sqlc(5^@$(FpCBkg zLi*qMiiOCe*f5;Cjhtm&O=LGi*+eF$`u8`G_zV;737LleV0$0Ilv5ogofn=}UZ*@a zt$Wc=sDTK*rW#3%&exyzs)1lu@VtAd(zCXS_-DY&uGepE%1_UXU$mKDoTnvf#>F95 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