From 7062927c881a58855a704ae3550ab123b3bae566 Mon Sep 17 00:00:00 2001 From: Daniel Ciborowski Date: Mon, 20 Mar 2023 15:22:38 -0400 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index dd622532..cf349a65 100644 --- a/README.md +++ b/README.md @@ -88,7 +88,7 @@ The Dockerfile specifies the base image and dependencies needed for the developm The devcontainer.json file is a configuration file that defines the development container's settings, including the Docker image to use, any additional VSCode extensions to install, and whether or not to mount the project directory into the container. It uses the python-3-miniconda container as its base, which is provided by Microsoft, and also includes customizations for VSCode, such as recommended extensions for Python development and specific settings for those extensions. In addition to the above, the settings.json file also contains a handy command that can automatically install pre-commit hooks. These hooks can help ensure the quality of the code before it's committed to the repository, improving the overall codebase and making collaboration easier. -The settings.json file is where you can customize various project-specific settings within VSCode. These settings can include auto-formatting options, auto-trimming of trailing whitespace, Git auto-fetching, and much more. By modifying this file, you can tailor the VSCode environment to your specific preferences and workflow. It also contains specific settings for Python, such as the default interpreter to use, the formatting provider, and whether to enable unittest or pytest. Additionally, it includes arguments for various tools such as Pylint, Black, Flake8, and Isort, which are specified in the pyproject.toml file. +The settings.json file is where we can customize various project-specific settings within VSCode. These settings can include auto-formatting options, auto-trimming of trailing whitespace, Git auto-fetching, and much more. By modifying this file, you can tailor the VSCode environment to your specific preferences and workflow. It also contains specific settings for Python, such as the default interpreter to use, the formatting provider, and whether to enable unittest or pytest. Additionally, it includes arguments for various tools such as Pylint, Black, Flake8, and Isort, which are specified in the pyproject.toml file. ## Getting Started