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Can I install Anaconda (not miniconda) on window nano-server docker?

I'm trying to install Anaconda distribution on Windows docker based nano-server.
This is my dockerfile (based on 4 yeras old example I found in GitHub)
# escape= `
# Use the latest Windows Server Core 2022 image.
FROM mcr.microsoft.com/windows/servercore:ltsc2022 AS base
RUN powershell (New-Object System.Net.WebClient).DownloadFile('https://repo.anaconda.com/archive/Anaconda3-2022.05-Windows-x86_64.exe', 'Anaconda3.exe')
RUN powershell Unblock-File -Path Anaconda3.exe
RUN Anaconda3.exe /InstallationType=JustMe /RegisterPython=1 /S /D=C:\Python
FROM mcr.microsoft.com/windows/nanoserver:ltsc2022-amd64
COPY --from=base C:\Python C:\Python
ENV PATH="C:\Python;C:\Python\Library\mingw-w64\bin;C:\Python\Library\usr\bin;C:\Python\Library\bin;C:\Python\Scripts;C:\Python\bin;C:\Python\condabin;C:\Windows;C:\Windows\System32;"
CMD ["cmd"]
The docker looks ok, I can launch Python, but once I try to import numpy or sklearn I got errors (fail to load some DLLs). I could make numpy work by reinstalling it (pip install --force-reinstall numpy), but this workaround didn't work for other libraries.
I also tried to install only Miniconda, then use conda install to add libraries, but trying to run conda in the nanoserver fails (pythoncom error: coinitializeex failed).
Trying a similar docker but on top of server core (servercore:ltsc2022) works flawlessly.
The reason I struggle to use Anaconda on nanoserver is to minimize its size - the docker size of the container based on servercore adds ~7GB to the size on the nanoserver.
Is it possible to run Anaconda on nano-server?
thanks,
Adi

Docker Python Image

I've a RHEL host with docker installed, it has default Py 2.7. My python scripts needs a bit more modules which
I can't install due to lack of sudo access & moreover, I dont want to screw up with the default Py which is needed for host to function.
Now, I am trying to get a python in docker container where I get to add few modules do the needfull.
Issue - docker installed RHEL is not connected to internet and cant be connected as well
The laptop i have doesnt have the docker either and I can't install docker here (no admin acccess) to create the docker image and copy them to RHEL host
I was hoping if docker image with python can be downloaded from Internet I might be able to use that as is!,
Any pointers in any approprite direction would be appreciated.
what have I done - tried searching for the python images, been through the dockers documentation to create the image.
Apologies if the above question sounds silly, I am getting better with time on docker :)

If your environment is restricted enough that you can't use sudo to install packages, you won't be able to use Docker: if you can run any docker run command at all you can trivially get unrestricted root access on the host.
My python scripts needs a bit more modules which I can't install due to lack of sudo access & moreover, I dont want to screw up with the default Py which is needed for host to function.
That sounds like a perfect use for a virtual environment: it gives you an isolated local package tree that you can install into as an unprivileged user and doesn't interfere with the system Python. For Python 2 you need a separate tool for it, with a couple of steps to install:
export PYTHONUSERBASE=$HOME
pip install --user virtualenv
~/bin/virtualenv vpy
. vpy/bin/activate
pip install ... # installs into vpy/lib/python2.7/site-packages

you can create a docker image on any standalone machine and push the final required image to docker registry ( docker hub ). Then in your laptop you can pull that image and start working :)
Below are some key commands that will be required for the same.
To create a image, you will need to create a Dockerfile with all the packages installed
Or you can also do sudo docker run -it ubuntu:16.04 then install python and other packages as required.
then sudo docker commit container_id name
sudo docker tag SOURCE_IMAGE[:TAG] TARGET_IMAGE[:TAG]
sudo docker push IMAGE_NAME
Then you pull this image in your laptop and start working.
You can refer to this link for more docker commands https://github.com/akasranjan005/docker-k8s/blob/master/docker/basic-commands.md
Hope this helps. Thanks

Shared Library libpython3.5 not found in Docker Container (but override works fine)

I am trying to deploy a Python Webservice (with flask) that uses CNTK in a Docker Container. I use an Ubuntu-Base-Image from Microsoft that is supposed to contain all the neccessary and correct programs and libraries to run CNTK.
The Script works locally (on Windows) and also when I run the container and start a bash from cmd-line with
docker exec -it <container_id> bash
and start the script from "within the container".
An important addition is that the python script uses two precompiled modules that are *.pyd files for windows and *.so files for Linux. So for the docker image I replaced the former for the latter for running the script from within the container.
The problems start when I start the script with a CMD in the Dockerfile. The creation of the image shows no problems. But when I start the container with
docker run -p 1234:80 app
I get the following error:
...
ImportError: libpython3.5m.so.1.0: cannot open shared object file: No such file or directory
It seems like the library is missing. But (I repeat) when I run the script from within a bash running in the container (which should only have the containers libraries as far as I can see), everything works fine. I even can look up the library with
ldd $(which python)
And the file is definitely in the folder. So the question is why python can't find its dependency when running the docker container.
It even gets weirder when I try to give the path to the library explicitely by writing it in the environment variable:
ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/root/anaconda3/pkgs/python-3.5.2-0/lib/"
Then the library it seems the library is found but it is not accepted as correct:
ImportError: dynamic module does not define init function (initcython_bbox)
"cython_bbox" is the name of one of the *.pyd / *.so file/library that is to be imported. This is apparantly a typical error for these kinds of filetypes. But I don't have any experience with them.
I am also not at the point (in my personal development) to be able to compile my own files from foreign source or create the docker image itself on my own. I rely on the parts I got from Microsoft. But I would be open to suggestions.
I also already tried to install the library anew inside my Dockerfile after importing the base image with
RUN apt-get install -y libpython3.5
But it provoked the same error as when I put the path in the environment variable.
I am really eager to know what goes wrong here. Why does everything run smoothly "inside the container" but not with Autostart at Initialization of a Container with CMD?
For additional info I add the Dockerfile:
# Use an official Python runtime as a parent image
FROM microsoft/cntk:2.5.1-cpu-python3.5
# Set the working
directory to /app
WORKDIR /app
# Copy the current directory contents into the container at /app
ADD . /app
RUN apt-get update && apt-get install -y python-pip RUN pip install
--upgrade pip
# Install any needed packages specified in requirements.txt
RUN pip install --trusted-host pypi.python.org -r requirements.txt
# Make port 80 available to the world outside this container
EXPOSE 80
# Run app.py when the container launches
CMD ["python", "test.py"]
The rest of the project is a pretty straightforward flask-webapp that runs without problems when I comment out all import of the actual CNTK-project. It is the CNTK Object Detection with Faster-RCNN by the way, as it can be found in the cntk-git-repository.
EDIT:
I found out what the actual problem is, yet I still have no way to solve it. The thing is that when I start bash with "docker exec" it runs a script at startup that activates an anaconda environment with python3.5 and all the neat libraries. But when CMD just starts python this is done by the standard Bourne shell "sh" which (as I tried out) runs with python2.7.
So I need a way either to start my container with bash (including its autostart scripts) or somehow activate the environment on startup in another way.
I looked up the script and it basically checks if bash is the current shell, sets some environment variables and activates the environment.
if [ -z "$BASH_VERSION" ]; then
echo Error: only Bash is supported.
elif [ "$(basename "$0" 2> /dev/null)" == "activate-cntk" ]; then
echo Error: this script is meant to be sourced. Run 'source activate-cntk'
else
export PATH="/cntk/cntk/bin:$PATH"
export LD_LIBRARY_PATH="/cntk/cntk/lib:/cntk/cntk/dependencies/lib:$LD_LIBRARY_PATH"
source "/root/anaconda3/bin/activate" "/root/anaconda3/envs/cntk-py35"
cat <<MESSAGE
************************************************************
CNTK is activated.
Please checkout tutorials and examples here:
/cntk/Tutorials
/cntk/Examples
To deactivate the environment run
source /root/anaconda3/bin/deactivate
************************************************************
MESSAGE
fi
I tried some dozens of things like linking sh to bash
RUN ln -fs /bin/bash /bin/sh
or using bash as ENTRYPOINT.

I have found a workaround that works for now.
First I manually link python to python3 in my environment:
RUN ln -fs /root/anaconda3/envs/cntk-py35/bin/python3.5 /usr/bin/python
Then I add the environment libraries to the Library-Path:
ENV LD_LIBRARY_PATH "/cntk/cntk/lib:/cntk/cntk/dependencies/lib:$LD_LIBRARY_PATH"
And to be sure I add all important folders to PATH:
ENV PATH "/cntk/cntk/bin:$PATH"
ENV PATH "/root/anaconda3/envs/cntk-py35/bin:$PATH"
I then have to install my python packages again:
RUN pip install flask
And can finally just start my script with:
CMD ["python", "app.py"]

I have also found this GIT Repository doing pretty much the same thing I did. And they also need to start their environment. Realizing that I need to learn how to write better Dockerfiles. I think this is the correct way to do it, i.e. using a shell script as ENTRYPOINT
ENTRYPOINT ["/app/run.sh"]
which activates the environment, installs additional python packages (this could be a problem) and starting the actual app.
#!/bin/bash
source /root/anaconda3/bin/activate root
pip install easydict
pip install azure-ml-api-sdk==0.1.0a9
pip install sanic
python3 /app/app.py

Set JAVA_HOME for docker in NLTK for Stanford NLP

I am a beginner in using Docker.
I'm using Docker toolbox for Windows 7 , i built an image for my python web app and everything works fine.
However, for this app, i use nltk module which also needs java and java_home setting to the java file.
When running on my computer, i can mannualy set the java_home, but how to do it in the dockerfile so that it wont get error when running on another machine.
Here is my error :
p.s : Answer below

When you are running a container you have the option of passing in environment variables that will be set in your container using the -e flag. This answer explains environment variables nicely: How do I pass environment variables to Docker containers?
docker container run -e JAVA_HOME='/path/to/java' <your image>
Make sure your image actually contains Java as well. You might want to look at something like the openjdk:8 image on docker hub.
It sounds like you need a docker file to build your image. Have a look at the ENV command documented here to set the JAVA_HOME var: https://docs.docker.com/engine/reference/builder/#env and then build your image with docker build /path/to/Dockerfile
I see you've already tried that and didn't have much luck.. run the container and instead of running your application process just run a bash script along the lines of echo $JAVA_HOME so you can at least verify that part is working.
Also make sure you copy in whatever files/binaries needed to the appropriate directories within the image in the docker file as noted below.

i finally found the way to install the java for dockerfile , it is use the java install commandline of ubuntu image.
Below is the docker file . Thanks for your reading.
RUN apt-get update
RUN apt-get install -y python-software-properties
RUN apt-get install -y software-properties-common
RUN add-apt-repository -y ppa:openjdk-r/ppa
RUN apt-get update
RUN apt-get install -y openjdk-8-jdk
ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64/
RUN export JAVA_HOME

Import pandas on docker with tensorflow

I am using Windows and learning to use tensorflow, so I need to run it under Docker (Toolbox).
Following the usual instruction:
$ docker run -it gcr.io/tensorflow/tensorflow
I can launch a Jupyter notebook on my browser at 192.168.99.100:8888 and run the tutorial notebooks without problems.
Now when I try to import pandas as pd , which is installed in my computer with pip, on Juypter it just said ImportError: No module named pandas
Any idea how I can get this library to work inside the tensorflow images launched from docker?
Screenshot

The Docker image should be built on a linux operating system. You should launch a shell inside the Docker image grc.io/tensorflow/tensorflow to install the requisite python dependencies.
See Docker quickstart for using
docker run -it grc.io/tensorflow/tensorflow /bin/bash
and then
sudo apt-get install python-pandas
according to pandas docs.
To avoid doing this every time you launch the image, you need to commit the change to create a new image.
To commit the change, you need to get the container id (after run and installation steps above):
sudo docker ps –a # Get list of all containers previously started with run command
Then, commit your changes git style using the container_id displayed in the container list you just got and giving it an image_name of your choosing:
sudo docker commit container_id image_name
The new image will now show up in the list displayed by sudo docker ps –a.
If you get a free docker account you can push and pull your updated image to your docker repo, or just keep it locally.
See docs under 'Updating and Committing your image'.

For windows users:
docker run -d -p 8888:8888 -v /c/Users/YOUR_WIN_FOLDER:/home/ds/notebooks gcr.io/tensorflow/tensorflow
Then use the following command to see the name of your container for easy execution commands later on (the last column will be the name):
docker ps
Then run:
docker exec <NAME OF CONTAINER> apt-get update
And finally to install pandas:
docker exec <NAME OF CONTAINER> apt-get install -y python-pandas
(the -y is an automatic 'yes' to stop a prompt from appearing for you to agree to the installation taking up additional disk space)

Here is an image with the pandas installed -
https://hub.docker.com/r/zavolokas/tensorflow-udacity/
Or pull it docker pull zavolokas/tensorflow-udacity:pandas