docker-stack | Develop , Build , Test , Deploy and Maintain | Continuous Deployment library

I know this is a duplicate of this, but since that was never answered, I am re-posting this question.

I am trying to build a basic connection of php-apache and mysql containers.

docker-compose.yml

I am trying to update an interactive matplotlib figure while in a loop using JupyterLab. I am able to do this if I create the figure in a different cell from the loop, but I would prefer to create the figure and run the loop in the same cell.

Simple Code Example:

When trying to connect to running corda node via ssh the connection stuck and closing by timeout. Maybe someone can help with it? Looks like some issues with docker as the node works fine, just can't connect to it via ssh.

Jupyter Lab application features nice Terminas with in-browser terminal shell that support colours, navigation keys, and pretty much all standard features of a terminal application. In this question I mean /lab app, not classic Notebook (/tree) app.

If I launch Jupyter server using this Docker image it works great. I need to build my own image, and preferably not based on that. I do it simply as documented:

I customize the user notebook environment like so (installing custom python packages)

Running jupyter in a docker container is a good solution for me, but I'm having trouble getting the notebook files to persist as advertised in the documentation here.

The docs say that after the session is closed and the server shutsdown, the .ipynb (notebook) files should be persisted in the ./work directory however, for me they are not. I have created notebooks both in the root directory and also in the /work directory which appears in the Jupyter Home page, but neither are to be found after shutdown, and if I restart the server, they are not in the directory list anymore either. I've tried launching the container in two ways -- first as suggested by the docs (substituting latest for the image tag):

I'm trying to store data in a global variable inside a Redis Queue (RQ) worker so that this data remains pre-loaded, i.e. it doesn't need to be loaded for every RQ job.

Specifically, I'm working with Word2Vec vectors and loading them using gensim's KeyedVectors.

My app is in Python Flask, running on a Linux server, containerized using Docker.

My goal is to reduce processing time by keeping a handful of large vectors files loaded in memory at all times.

I first tried storing them in global variables in Flask, but then each of my 8 gunicorn workers loads the vectors, which eats up a lot of RAM.

I only need one worker to store a particular vectors file.

I've been told that one solution is to have a set number of RQ workers holding the vectors in a global variable, so that I can control which workers get which vectors files loaded in.

Here is what I have so far:

RQ_worker.py

Docker is fairly new to me, I'm creating a jupyterhub container like that

I am trying to run a docker container for a Jupyter/scipy-notebook which needs file system permissions.

I tried setting some options from the documentation