There is an extension for Visual Studio code called Remote Containers, which will essentially allow you to develop directly inside a docker container while using Visual Studio Code. Visual Studio Code now officially supports Python and has some exciting capabilities that can help with complex Python projects( or other languages). However, what if the project is complex? What if it depends on multiple projects? If a project is simple and small, ‘venv’ does the trick. To solve this, we can use the packages Pyenv or Venv, which will allow you to create a sandboxed Python environment where dependencies of a project will be scoped to. If you have many Python projects on your computer, then you will eventually run into versioning conflicts on your system. Sometimes a project or a project’s dependency requires a specific version of Python or even particular versions of project dependencies. When working in Python, we have to ensure we have installed all the project dependencies to run the Python programming locally.įor instance, if we are working on a Flask project, we need to ensure we have Flask installed. If you would like to know how to debug a Python program in Visual Studio Code while inside a Visual Studio Dev Container, I will show you how I got this working in this article.
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