Menu bar that also includes the Command Pallet which is activated by hitting CTRL-SHIFT-P. This section will provide a brief interface walk-through in addition to reviewing the configuration of VSCode for our Python tutorial. Rather than a full how-to on using VSCode, see the Getting Started page for more.
The Completed notification will allow VSCode to launch and the setup to continue. Select Install to begin the installation. There is a discussion on VSCode’s GitHub site that reviews this option in more detail. One item you may want to decide is the “Register Code as an editor for supported File types.” This makes VSCode the default editor for specific file types and will open when double-clicking on a supported file. Select Additional Tasks – I normally select all these options as I use VSCode for most of my coding tasks. Select Start Menu Folder – Accept by hitting Next or Check the “Don’t Create” box if you do not want a startup folder. Select Destination Location – Either Accept the suggested location for the install or browse to another location. License Agreement – Accept the License Agreement. Welcome – Select Next to begin the installation. Once the installation begins, the walk-through wizard, detailed steps below, will guide through the process. Installing VSCode is as simple as going to the VSCode portal and clicking download on the main portal page. Some screens shots will be displayed, but any steps with simple choices are provided as a detail. Note: This article assumes that this is not the first time installing an application. Features such as changing the themes, keyboard shortcuts, and many configuration preferences allow you to create your own editing experience. 
For Python, this brings the ability to have a full code editor, which brings in functionality such as syntax highlighting, code completion, code refactoring, and snippets. Using VSCode as your source code editor allows you to use the same editor across numerous platforms, Windows, Linux and macOS, while directly integrating with GIT (GitHub in our examples). No guarantee or warrantee is provided or implied. This is provided as an illustration and covers a base machine install.
Warning : This is try a your own risk walk-through!! Every machine is different and should not be used in a production environment. This walk-through will show you how to set up I have just selected these as more common for the teams I work with. This demo uses GitHub and Windows however other platforms can be used. Installing Python and pylint on Your Machine.
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