[LINUX] Install VScode on Lenovo IdeaPad Duet Chromebook

I couldn't install it on the ** Lenovo IdeaPad Duet Chromebook ** using the files from the official VScode site, so I installed it from the community build site. It has been confirmed to start.

Lenovo IdeaPad Duet Chromebook

Since it was a product released in June 2020, there was still little information, but it is probably the reason why I bought it with the idea that VS code will also be included.

The processor is ** Media Tek Helio P60T processor (2.00GHz) **

What I tried

Everything failed. See the next section for successful methods.

--Run the .deb package installed from the official website from My Files> Download → Fails with the message An error occurred during installation

--Run sudo apt install .deb file in the terminal → This also failed. Probably for the same reason. I got the following error.

Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
 code:amd64 : Depends: libnss3:amd64 (>= 2:3.26) but it is not installable
              Depends: apt:amd64 but it is not installable
              Depends: libxkbfile1:amd64 but it is not installable
              Depends: libsecret-1-0:amd64 but it is not installable
              Depends: libgtk-3-0:amd64 (>= 3.10.0) but it is not installable
              Depends: libxss1:amd64 but it is not installable
E: Unable to correct problems, you have held broken packages.

I think it has something to do with the processor being MediaTek. It seems that it is based on the ARM processor, but the specifications may be slightly different.

--Via Snap → I'm not sure about the procedure because I haven't installed it using Snap, but I tried to imitate your installation procedure, but I couldn't install it.

Successful way

I learned about the existence of a community build version at this article.

Community builds of Visual Studio Code

It seems that they are volunteering to adjust VScode for minor platforms. Every time the official repository is updated, the community build version also seems to update the package. (Should I reinstall it every time the official is updated? Unconfirmed)

According to the FAQ, extensions will probably work if they don't only support biased processors **! ** is written.

Installation method

Select the version from the Release page of Native method of Chrome OS and download the package in .deb format. When I ran the file, the installation was successful.

By the way, when I tried it, I installed the latest package, but I couldn't install the extension, so when I reinstalled the one older version, the extension was installed successfully. It may be some kind of bug. (I was impatient that I could not input Japanese after installation, but it was because Japanese input was not set in Linux. That is separate)

Summary

I showed you 3 ways to install VScode on your Lenovo IdeaPad Duet Chromebook and failed, and the steps to install the community build version.

Recommended Posts

Install VScode on Lenovo IdeaPad Duet Chromebook
Install enebular-agent on Chromebook
Install VS Code on your Chromebook
Install miniconda on chromebook (using chromebrew + git)
Install Anydesk Linux version on Chromebook [Result NG]
Install Python venv --VSCode --GitHub integration environment on Mac
Install and develop Git, VSCode, Docker on Chrome OS
Install mecab on Marvericks
Install Tensorflow on Mac
Install TensorFlow on Ubuntu
Install python on WSL
Install Faiss on CentOS 7
Install pyenv on mac
Install pip on Mavericks
Install Python on Pidora.
Install mongodb on termux
Install Scrapy on python3
Install docker on Fedora31
Install numba on CentOS 7.2
Install Python on Mac
Install Python 3 on Mac
Install Plone (4.3.6) on MacOSX (10.10.3)
Install Python3.4 on CentOS 6.6
Install JModelica on Ubuntu
Install Anaconda on Windows 10
Install numpy on Marvericks
Install python on windows
Install pycuda on Windows10
Install mecab-python on CentOS
Install Python 2.7.3 on CentOS 5.4
Install pygraphviz on Windows 10
Update vscode on linux
Install Python 3.3 on Ubuntu 12.04
Install Chainer 1.5.0 on Windows
Install Python 3.4 on Mac
Install Caffe on Mac
Install Theano on Ubuntu 12.04
Install pyenv on OSX
Install mecab on mac
Install awscli on centos7
Install angr on Ubuntu 18.04
Install Chainer on CentOS 6.7
Install mecab-python on Mac
Install pip / pip3 on Ubuntu
Install Python 3.6 on Docker