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Setups a VSCode Remote Container with Miniconda for the Data Analysis course

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Data Analysis With Python 2020

VSCode Remote Container with a Miniconda environment for the course Data analysis with Python - 2020.

Usage

  1. Have the Remote - Containers extension installed on VSCode
  2. Clone or copy this repository to Your computer
  3. Open the directory in Visual Studio Code
  4. Select Reopen in Container from the Command Palette (this will take a few minutes)

After that the TMC extension should be available in the icons on the left.

  1. Login to your TMC account from the extension
  2. Download the assignments
  3. Open the Workspace

The files from this repository (the .devcontainer and others) will not be visible during when the course workspace is open, and only the course assignments are editable then. The code is stored inside the Docker container, so it will not be available if the container is closed. The code that has been uploaded to TCM should be available for downloading again though.

How Was This Made

Created a new repo in GitHub with default README.md and .gitignore files.

Opened folder in VSCode

Selected Reopen in Container...

Reopen in Container

Selected Show All Definitions...

Show All Definitions

Searched and selected Python 3 - Miniconda

Python 3 - Miniconda

This created .devcontainer with all related Docker stuff

Rebuilt the contained after including the environment.yml file.

Then added TMC extension in to the remote container.

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Setups a VSCode Remote Container with Miniconda for the Data Analysis course

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