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Open visual studio code from terminal linux virtual machine
Open visual studio code from terminal linux virtual machine










open visual studio code from terminal linux virtual machine

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. 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 \ # 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 \

open visual studio code from terminal linux virtual machine

& 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

open visual studio code from terminal linux virtual machine

# 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.

open visual studio code from terminal linux virtual machine

# This Dockerfile adds a non-root user with sudo access. # Avoid warnings by switching to noninteractive devcontainerĭevcontainer.json - Json file for the container buildĭockerFile - 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












Open visual studio code from terminal linux virtual machine