updated QA

f525caa8 · Michael Blaschek · c72bc531 · f525caa8 · f525caa8 · f525caa8
Commit f525caa8 authored 3 years ago by Michael Blaschek
--- a/Python/QA-007-Restore-Conda-Environments.ipynb
+++ b/Python/QA-007-Restore-Conda-Environments.ipynb
@@ -203,7 +203,7 @@
    "./envs/test/bin/pip list format=freeze > requirements.txt\n",
    "```\n",
    "\n",
-    "However, this is quite different from conda. You need to have the correct version of python available otherwise you can not restore the environment."
+    "However, this is quite different from conda. You need to have the **correct version of python** available otherwise you can not restore the environment."
   ]
  },
  {
@@ -612,7 +612,7 @@
 ],
 "metadata": {
  "kernelspec": {
-   "display_name": "Anaconda3 (2020.07)",
+   "display_name": "Miniconda3 (4.10.3) - 3.9.5",
   "language": "python",
   "name": "python3"
  },
@@ -626,7 +626,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.9.5"
  }
 },
 "nbformat": 4,

 %% Cell type:markdown id:18953a0d-48d2-454f-9402-40cd0aac6bdb tags:

 # Restore / Save Conda Environments

 Sometimes it just works and you do not want to change anything.

 This is when you can create an environment file and safe your current python installed packges and versions.

 What you can do:
 - Backup an existing environment
 - Restore an environment
 - Design an environment

 %% Cell type:markdown id:83eb685d-a53c-4816-86ea-de9501fb9665 tags:

 # Backup

 It is a good choice to create a backup of a working environment. Regardless if you plan on setting it up somewhere else or not.


 %% Cell type:code id:e7c0b076-e7d2-48e1-a177-c55a4451040d tags:

 ``` python
 !module list
 ```

 %% Output

    Currently Loaded Modulefiles:[m
     1) anaconda3/2020.07-gcc-8.4.1   3) proj/8.1.0-gcc-8.4.1  [m
     2) geos/3.9.1-gcc-8.4.1         [m
    [K[?1l>

 %% Cell type:code id:8932eb21-2025-40ec-8744-2730b19455eb tags:

 ``` python
 # Check What environment are present
 # Typically there are some root installed environments
 !conda env list
 ```

 %% Output

    # conda environments:
    #
                             /home/spack-root/opt/spack/linux-centos8-skylake_avx512/gcc-8.3.1/anaconda3-2020.07-l2bohj4adsd6r2oweeytdzrgqmjl64lt
                             /home/spack-root/opt/spack/linux-centos8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-5qezliv3bkrc63cv2zk2lyh3xioozd45
                             /home/spack-root/opt/spack/linux-centos8-skylake_avx512/gcc-8.3.1/miniconda3-4.9.2-htox4jjktvvm7b4d3rfwpwpwa4i2kkhk
                             /home/spack/envs/test
                             /home/swd/anaconda3
                             /home/swd/manual/intelpython/intelpython/latest
                             /home/swd/manual/intelpython/intelpython/latest/envs/2021.4.0
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda2-2019.10-eaw5h5kknfwa3bsjnjhqfhytzfxgd3nf
    base                  *  /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.11-v46okvjlotnor7yrmpqnbn63xt3a2qyq
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2021.05-hrg2ocjseksc4af3osaiipzu433xctef
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/miniconda2-4.7.12.1-3r6cvxekrhf32f6tdeout3aq7xxsgjit
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/miniconda3-4.10.3-l23y36yispi4ue5w7mhyc4mllio4ylfm
    

 %% Cell type:markdown id:6253ef9a-6761-497e-9921-863320f6ae2f tags:

 But there is one called **test** in `/home/spack/envs/test` which we are going to backup.

 %% Cell type:code id:735145c2-c24d-4006-9751-9c2a5f684387 tags:

 ``` python
 # Check What is installed inside your environment
 !conda list -p /home/spack/envs/test
 ```

 %% Output

    # packages in environment at /home/spack/envs/test:
    #
    # Name                    Version                   Build  Channel
    _libgcc_mutex             0.1                        main
    _openmp_mutex             4.5                       1_gnu
    ca-certificates           2021.9.30            h06a4308_1
    certifi                   2021.10.8        py39h06a4308_0
    ld_impl_linux-64          2.35.1               h7274673_9
    libffi                    3.3                  he6710b0_2
    libgcc-ng                 9.3.0               h5101ec6_17
    libgomp                   9.3.0               h5101ec6_17
    libstdcxx-ng              9.3.0               hd4cf53a_17
    ncurses                   6.2                  he6710b0_1
    openssl                   1.1.1l               h7f8727e_0
    pip                       21.2.4           py39h06a4308_0
    python                    3.9.7                h12debd9_1
    readline                  8.1                  h27cfd23_0
    setuptools                58.0.4           py39h06a4308_0
    sqlite                    3.36.0               hc218d9a_0
    tk                        8.6.11               h1ccaba5_0
    tzdata                    2021a                h5d7bf9c_0
    wheel                     0.37.0             pyhd3eb1b0_1
    xz                        5.2.5                h7b6447c_0
    zlib                      1.2.11               h7b6447c_3

 %% Cell type:code id:08bcab6f-7056-44ea-8363-af7718c4dd3d tags:

 ``` python
 # Export the definition (versions, packages) to a YAML file
 !conda env export -p /home/spack/envs/test > environment.yaml
 ```

 %% Cell type:code id:4ec66832-8a9a-446e-ae4a-7de85fad29d7 tags:

 ``` python
 !cat environment.yaml
 ```

 %% Output

    name: null
    channels:
      - defaults
    dependencies:
      - _libgcc_mutex=0.1=main
      - _openmp_mutex=4.5=1_gnu
      - ca-certificates=2021.9.30=h06a4308_1
      - certifi=2021.10.8=py39h06a4308_0
      - ld_impl_linux-64=2.35.1=h7274673_9
      - libffi=3.3=he6710b0_2
      - libgcc-ng=9.3.0=h5101ec6_17
      - libgomp=9.3.0=h5101ec6_17
      - libstdcxx-ng=9.3.0=hd4cf53a_17
      - ncurses=6.2=he6710b0_1
      - openssl=1.1.1l=h7f8727e_0
      - pip=21.2.4=py39h06a4308_0
      - python=3.9.7=h12debd9_1
      - readline=8.1=h27cfd23_0
      - setuptools=58.0.4=py39h06a4308_0
      - sqlite=3.36.0=hc218d9a_0
      - tk=8.6.11=h1ccaba5_0
      - tzdata=2021a=h5d7bf9c_0
      - wheel=0.37.0=pyhd3eb1b0_1
      - xz=5.2.5=h7b6447c_0
      - zlib=1.2.11=h7b6447c_3
    prefix: /home/spack/envs/test
    

 %% Cell type:markdown id:4f984479-c901-4876-9ea5-b11918336b8d tags:

 **Note: Versions and packages are listed. As well as the path where it was installed**

 With that file you will be able to rebuild this environment at anytime.

 If you want to use `pip` later to restore your environment, you can use
 ```bash
 ./envs/test/bin/pip list format=freeze > requirements.txt
 ```

-However, this is quite different from conda. You need to have the correct version of python available otherwise you can not restore the environment.
+However, this is quite different from conda. You need to have the **correct version of python** available otherwise you can not restore the environment.

 %% Cell type:markdown id:5cbfcf62-c832-4a34-9e36-bc0e4244f0c3 tags:

 ## Restore

 Maybe you get a environment file from a colleague or it's your backup, there are ways to restore your environment.

 Please note that conda is slow and resolving dependencies can be slow.

 %% Cell type:code id:04145eb1-b368-405e-898c-1694f485b57c tags:

 ``` python
 # Create the environment in a special path
 !conda env create -p /home/spack/envs/restore -f environment.yaml
 ```

 %% Output

    Collecting package metadata (repodata.json): done
    Solving environment: done
    
    
    ==> WARNING: A newer version of conda exists. <==
      current version: 4.8.3
      latest version: 4.10.3
    
    Please update conda by running
    
        $ conda update -n base -c defaults conda
    
    
    Preparing transaction: done
    Verifying transaction: done
    Executing transaction: done
    #
    # To activate this environment, use
    #
    #     $ conda activate /home/spack/envs/restore
    #
    # To deactivate an active environment, use
    #
    #     $ conda deactivate
    

 %% Cell type:code id:72e85fe7-ed74-4f1c-974b-b328533b52a0 tags:

 ``` python
 !conda env list
 ```

 %% Output

    # conda environments:
    #
                             /home/spack-root/opt/spack/linux-centos8-skylake_avx512/gcc-8.3.1/anaconda3-2020.07-l2bohj4adsd6r2oweeytdzrgqmjl64lt
                             /home/spack-root/opt/spack/linux-centos8-skylake_avx512/gcc-8.3.1/miniconda3-4.8.2-5qezliv3bkrc63cv2zk2lyh3xioozd45
                             /home/spack-root/opt/spack/linux-centos8-skylake_avx512/gcc-8.3.1/miniconda3-4.9.2-htox4jjktvvm7b4d3rfwpwpwa4i2kkhk
                             /home/spack/envs/restore
                             /home/spack/envs/test
                             /home/swd/anaconda3
                             /home/swd/manual/intelpython/intelpython/latest
                             /home/swd/manual/intelpython/intelpython/latest/envs/2021.4.0
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda2-2019.10-eaw5h5kknfwa3bsjnjhqfhytzfxgd3nf
    base                  *  /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.11-v46okvjlotnor7yrmpqnbn63xt3a2qyq
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2021.05-hrg2ocjseksc4af3osaiipzu433xctef
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/miniconda2-4.7.12.1-3r6cvxekrhf32f6tdeout3aq7xxsgjit
                             /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/miniconda3-4.10.3-l23y36yispi4ue5w7mhyc4mllio4ylfm
    

 %% Cell type:markdown id:1ffa23fe-1b8c-45af-9547-6295edcec219 tags:

 Please note that we have another environment like this, called restore:
 `/home/spack/envs/restore`

 %% Cell type:code id:45e09ec6-6670-4dc0-bef1-3dcc1e6504ec tags:

 ``` python
 !conda list -p /home/spack/envs/restore
 ```

 %% Output

    # packages in environment at /home/spack/envs/restore:
    #
    # Name                    Version                   Build  Channel
    _libgcc_mutex             0.1                        main
    _openmp_mutex             4.5                       1_gnu
    ca-certificates           2021.9.30            h06a4308_1
    certifi                   2021.10.8        py39h06a4308_0
    ld_impl_linux-64          2.35.1               h7274673_9
    libffi                    3.3                  he6710b0_2
    libgcc-ng                 9.3.0               h5101ec6_17
    libgomp                   9.3.0               h5101ec6_17
    libstdcxx-ng              9.3.0               hd4cf53a_17
    ncurses                   6.2                  he6710b0_1
    openssl                   1.1.1l               h7f8727e_0
    pip                       21.2.4           py39h06a4308_0
    python                    3.9.7                h12debd9_1
    readline                  8.1                  h27cfd23_0
    setuptools                58.0.4           py39h06a4308_0
    sqlite                    3.36.0               hc218d9a_0
    tk                        8.6.11               h1ccaba5_0
    tzdata                    2021a                h5d7bf9c_0
    wheel                     0.37.0             pyhd3eb1b0_1
    xz                        5.2.5                h7b6447c_0
    zlib                      1.2.11               h7b6447c_3

 %% Cell type:markdown id:3c241577-5e41-40d8-9b3e-fd8874118d20 tags:

 When you want to use pip to restore the environment:
 ```bash
 # create a virtual environment
 python3 -m venv env
 # use that to install the packages
 ./env/bin/pip install -r requirements.txt
 ```

 Here it will use the python3 that you give, meaning that it will not be Python 3.9 as we specified above.
 Download the correct python interpreter first. [here](https://www.python.org/downloads/) or any other way.

 %% Cell type:markdown id:7b665eb3-d531-4288-9e58-b2e29ec48e74 tags:

 # Design
 It is possible to write your own environment file and use it for build a special environment.

 %% Cell type:markdown id:b23ecff1-a329-42df-b2e6-57cc8d6d480a tags:

 There are three things you need:
 - name
 - channels (mostly conda-forge and defaults)
 - dependencies (packages)

 An example yaml file

 ```yaml
 name: selfdesigned
 channels:
 - conda-forge
 - defaults
 dependencies:
 - numpy
 - pandas
 - xarray
 - pip:
  - metpy
 ```

 you can specify versions using `numpy=1.0` or `python=3.6`. If no version is given the newest compatible version will be used.

 %% Cell type:code id:fe80dc6b-aa2a-40d2-b73e-67acf5b487c2 tags:

 ``` python
 %%writefile design.yaml
 name: selfdesigned
 channels:
 - conda-forge
 - defaults
 dependencies:
 - numpy
 - pandas
 - xarray
 - pip:
  - metpy
 ```

 %% Output

    Writing design.yaml

 %% Cell type:code id:3d821016-50d6-4696-ac47-06755d57e990 tags:

 ``` python
 !conda env create -f design.yaml -p /home/spack/envs/design
 ```

 %% Output

    Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies.  Conda may not use the correct pip to install your packages, and they may end up in the wrong place.  Please add an explicit pip dependency.  I'm adding one for you, but still nagging you.
    Collecting package metadata (repodata.json): done
    Solving environment: done
    
    
    ==> WARNING: A newer version of conda exists. <==
      current version: 4.8.3
      latest version: 4.10.3
    
    Please update conda by running
    
        $ conda update -n base -c defaults conda
    
    
    
    Downloading and Extracting Packages
    pandas-1.3.3         | 13.0 MB   | ##################################### | 100%
    numpy-1.21.2         | 6.2 MB    | ##################################### | 100%
    ncurses-6.2          | 985 KB    | ##################################### | 100%
    libcblas-3.9.0       | 11 KB     | ##################################### | 100%
    pytz-2021.3          | 242 KB    | ##################################### | 100%
    ld_impl_linux-64-2.3 | 667 KB    | ##################################### | 100%
    _libgcc_mutex-0.1    | 3 KB      | ##################################### | 100%
    sqlite-3.36.0        | 1.4 MB    | ##################################### | 100%
    tk-8.6.11            | 3.3 MB    | ##################################### | 100%
    pip-21.3             | 1.2 MB    | ##################################### | 100%
    libblas-3.9.0        | 12 KB     | ##################################### | 100%
    python_abi-3.9       | 4 KB      | ##################################### | 100%
    python-3.9.7         | 27.5 MB   | ##################################### | 100%
    tzdata-2021c         | 120 KB    | ##################################### | 100%
    wheel-0.37.0         | 31 KB     | ##################################### | 100%
    libgfortran5-11.2.0  | 1.7 MB    | ##################################### | 100%
    zlib-1.2.11          | 86 KB     | ##################################### | 100%
    libopenblas-0.3.17   | 9.2 MB    | ##################################### | 100%
    libstdcxx-ng-11.2.0  | 4.2 MB    | ##################################### | 100%
    libgfortran-ng-11.2. | 19 KB     | ##################################### | 100%
    _openmp_mutex-4.5    | 22 KB     | ##################################### | 100%
    six-1.16.0           | 14 KB     | ##################################### | 100%
    libffi-3.4.2         | 57 KB     | ##################################### | 100%
    python-dateutil-2.8. | 240 KB    | ##################################### | 100%
    ca-certificates-2021 | 139 KB    | ##################################### | 100%
    libgcc-ng-11.2.0     | 887 KB    | ##################################### | 100%
    xz-5.2.5             | 343 KB    | ##################################### | 100%
    libzlib-1.2.11       | 59 KB     | ##################################### | 100%
    xarray-0.19.0        | 614 KB    | ##################################### | 100%
    setuptools-58.2.0    | 1011 KB   | ##################################### | 100%
    openssl-3.0.0        | 2.9 MB    | ##################################### | 100%
    readline-8.1         | 295 KB    | ##################################### | 100%
    libgomp-11.2.0       | 427 KB    | ##################################### | 100%
    liblapack-3.9.0      | 11 KB     | ##################################### | 100%
    Preparing transaction: done
    Verifying transaction: done
    Executing transaction: done
    Ran pip subprocess with arguments:
    ['/home/spack/envs/design/bin/python', '-m', 'pip', 'install', '-U', '-r', '/home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt']
    Pip subprocess output:
    Collecting metpy
      Using cached MetPy-1.1.0-py3-none-any.whl (361 kB)
    Collecting pooch>=0.1
      Using cached pooch-1.5.2-py3-none-any.whl (57 kB)
    Collecting scipy>=1.2.0
      Downloading scipy-1.7.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl (28.5 MB)
    Collecting pint>=0.10.1
      Using cached Pint-0.17-py2.py3-none-any.whl (204 kB)
    Requirement already satisfied: pandas>=0.24.0 in /home/spack/envs/design/lib/python3.9/site-packages (from metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (1.3.3)
    Requirement already satisfied: numpy>=1.17.0 in /home/spack/envs/design/lib/python3.9/site-packages (from metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (1.21.2)
    Collecting matplotlib>=3.0.1
      Downloading matplotlib-3.4.3-cp39-cp39-manylinux1_x86_64.whl (10.3 MB)
    Requirement already satisfied: xarray>=0.14.1 in /home/spack/envs/design/lib/python3.9/site-packages (from metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (0.19.0)
    Collecting traitlets>=4.3.0
      Downloading traitlets-5.1.0-py3-none-any.whl (101 kB)
    Collecting pyproj>=2.3.0
      Downloading pyproj-3.2.1-cp39-cp39-manylinux2010_x86_64.whl (6.3 MB)
    Collecting pyparsing>=2.2.1
      Using cached pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)
    Collecting kiwisolver>=1.0.1
      Downloading kiwisolver-1.3.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB)
    Collecting pillow>=6.2.0
      Downloading Pillow-8.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB)
    Requirement already satisfied: python-dateutil>=2.7 in /home/spack/envs/design/lib/python3.9/site-packages (from matplotlib>=3.0.1->metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (2.8.2)
    Collecting cycler>=0.10
      Downloading cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
    Requirement already satisfied: pytz>=2017.3 in /home/spack/envs/design/lib/python3.9/site-packages (from pandas>=0.24.0->metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (2021.3)
    Collecting packaging
      Using cached packaging-21.0-py3-none-any.whl (40 kB)
    Collecting appdirs
      Using cached appdirs-1.4.4-py2.py3-none-any.whl (9.6 kB)
    Collecting requests
      Downloading requests-2.26.0-py2.py3-none-any.whl (62 kB)
    Collecting certifi
      Downloading certifi-2021.10.8-py2.py3-none-any.whl (149 kB)
    Requirement already satisfied: setuptools>=40.4 in /home/spack/envs/design/lib/python3.9/site-packages (from xarray>=0.14.1->metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (58.2.0)
    Requirement already satisfied: six in /home/spack/envs/design/lib/python3.9/site-packages (from cycler>=0.10->matplotlib>=3.0.1->metpy->-r /home/spack/computer-resources/Python/condaenv.wjxlpjet.requirements.txt (line 1)) (1.16.0)
    Collecting idna<4,>=2.5
      Downloading idna-3.3-py3-none-any.whl (61 kB)
    Collecting charset-normalizer~=2.0.0
      Downloading charset_normalizer-2.0.7-py3-none-any.whl (38 kB)
    Collecting urllib3<1.27,>=1.21.1
      Downloading urllib3-1.26.7-py2.py3-none-any.whl (138 kB)
    Installing collected packages: urllib3, pyparsing, idna, charset-normalizer, certifi, requests, pillow, packaging, kiwisolver, cycler, appdirs, traitlets, scipy, pyproj, pooch, pint, matplotlib, metpy
    Successfully installed appdirs-1.4.4 certifi-2021.10.8 charset-normalizer-2.0.7 cycler-0.10.0 idna-3.3 kiwisolver-1.3.2 matplotlib-3.4.3 metpy-1.1.0 packaging-21.0 pillow-8.3.2 pint-0.17 pooch-1.5.2 pyparsing-2.4.7 pyproj-3.2.1 requests-2.26.0 scipy-1.7.1 traitlets-5.1.0 urllib3-1.26.7
    
    #
    # To activate this environment, use
    #
    #     $ conda activate /home/spack/envs/design
    #
    # To deactivate an active environment, use
    #
    #     $ conda deactivate
    

 %% Cell type:code id:c1d727e8-a97f-4809-b695-d10be49e1b4a tags:

 ``` python
 !/home/spack/envs/design/bin/pip list
 ```

 %% Output

    Package            Version
    ------------------ ---------
    appdirs            1.4.4
    certifi            2021.10.8
    charset-normalizer 2.0.7
    cycler             0.10.0
    idna               3.3
    kiwisolver         1.3.2
    matplotlib         3.4.3
    MetPy              1.1.0
    numpy              1.21.2
    packaging          21.0
    pandas             1.3.3
    Pillow             8.3.2
    Pint               0.17
    pip                21.3
    pooch              1.5.2
    pyparsing          2.4.7
    pyproj             3.2.1
    python-dateutil    2.8.2
    pytz               2021.3
    requests           2.26.0
    scipy              1.7.1
    setuptools         58.2.0
    six                1.16.0
    traitlets          5.1.0
    urllib3            1.26.7
    wheel              0.37.0
    xarray             0.19.0

 %% Cell type:markdown id:21a756ab-392b-4238-9272-5494fd8730c8 tags:

 FIN

--- a/Python/QA-008-Dask-Dashboard.ipynb
+++ b/Python/QA-008-Dask-Dashboard.ipynb
--- a/Python/README.md
+++ b/Python/README.md
@@ -49,3 +49,14 @@ Some are:
 [Add Package](QA-006-Add-Packages-to-Anaconda-Modules.ipynb)

 It is relativly easy to install additional packages to a anaconda module distribution with `pip install --user`.
+
+## Q: How to restore a conda environment?
+[Save/Restore conda environment](QA-007-Restore-Conda-Environments.ipynb)
+
+Ever needed to backup a conda environment or copy from a colleague or designing one by hand to give to others?
+
+## Q: How to get the dask dashboard working on Jupyterhub?
+[Fix Dask Dashboard](QA-008-Dask-Dashboard.ipynb)
+
+You just need to add a configuration option and then you can open the Dashboard in any Jupyterhub. Works on SRVX1 and JET.
+