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"postCreateCommand": "pip install -r requirements.txt", Use 'postCreateCommand' to run commands after the container is created. Use 'forwardPorts' to make a list of ports inside the container available locally. "python.pythonPath": "/opt/conda/bin/python", Python Versions "python.pythonPath": "/usr/local/bin/python", Set *default* container specific settings.json values on container create. devcontainer/setup.sh > ~/post-create.log", Confirm to user that they can now use the notebook = change background to white and insert refresh now file Add the IDs of extensions you want installed when the container is created. You can adapt it for use in a wide variety of situations. devcontainer/devcontainer.json file in your project that references an image, Dockerfile, or docker-compose.yml, and a few properties. A devcontainer.json file is similar to launch.json for debugging, but designed to launch (or attach to) a development container instead.
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This file confirm the python requirements and VSCode Extensions which are to be installed. # Switch back to dialog for any ad-hoc use of apt-get & echo $USERNAME ALL=\(root\) NOPASSWD:ALL > /etc/sudoers.d/$USERNAME\ & useradd -s /bin/bash -uid $USER_UID -gid $USER_GID -m $USERNAME \ # Create a non-root user to use if preferred - see. # & pip -disable-pip-version-check -no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
Install visual studio code mac terminal update#
# Update Python environment based on requirements.txt & pip -disable-pip-version-check -no-cache-dir install nbinteract=0.0.12 \ & pip -disable-pip-version-check -no-cache-dir install bqplot \ & pip -disable-pip-version-check -no-cache-dir install ipywidgets>=7.0.0 \ & pip -disable-pip-version-check -no-cache-dir install matplotlib \ & pip -disable-pip-version-check -no-cache-dir install folium=0.2.1 \ & pip -disable-pip-version-check -no-cache-dir install scipy \ & pip -disable-pip-version-check -no-cache-dir install pandas \ & pip -disable-pip-version-check -no-cache-dir install numpy \ & pip -disable-pip-version-check -no-cache-dir install jupyter \ & pip -disable-pip-version-check -no-cache-dir install pylint \ & apt-get -y install git openssh-client less iproute2 procps lsb-release \ # Verify git, process tools, lsb-release (common in install instructions for CLIs) installed & apt-get -y install -no-install-recommends apt-utils dialog 2>&1 \ It is suggested that you only do this if your # include your requirements in the image itself. # Uncomment the following COPY line and the corresponding lines in the `RUN` command if you wish to # will be updated to match your local UID/GID (when using the dockerFile property). # property in devcontainer.json to use it.
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# This Dockerfile adds a non-root user with sudo access. # Avoid warnings by switching to noninteractive devcontainerÄevcontainer.json - Json file for the container buildÄockerFile - this file is the build of the docker image for the dev environment and includes things like python library installations Using a Devcontainer custom docker image within the rep is a folder. Please see the following repository contains a Visual Studio Code container build and instructions on deployment Utilising Custom Container builds to spin up a custom Visual Studio Code Environment for use on premise with Visual Studio Code or Online with Visual Studio Online Using Visual Studio Code