These is the Git integration quick actions that VSCode displays for a new project.įor me, VSCode gets a 3/5 on Git integration. Pushing and pulling code changes is all possible from within VSCode. A pull request has to be started from the GitHub web ui. Publish a branch to the remote (GitHub in my case). You can create branches using “Checkout to…”. Also, the local git remote that VSCode creates is named after the repo and not called ‘origin’ which I find a bit off-putting. I had to log into GitHub to create the repo, then it appeared in my list. Once I was OAuth connected I could only view repos. It doesn’t look like there is a way to create a GitHub repo from VSCode so I had to create it through the GitHub Web UI. Creating my local repo was simple, however connecting to GitHub was much more difficult. VSCode detects if a git repo has been setup for a project and allows you to initialize one. I expect that common actions like creating branches, committing code and managing code on remotes can be done within the IDE. My big measurement criteria for Git integration was to see how much could be done within the tool itself without the need to resort to command line.

Both P圜harm Community and VSCode are free, so financials don't enter into the comparison. My Python project is very simple so it would be worth building an in depth project with each of these IDEs.įor this comparison I am using P圜harm Community installed on Ubuntu in a virtual machine and VSCode 1.47.2 on the same virtual machine with the Microsoft Python plugin. My approach to conduct this evaluation was to pick the IDE feature that I use most often and compare the experience between P圜harm and VSCode.

Not sure what P圜harm is? Check out this post. In this post I take P圜harm up against Visual Studio Code using the following 7 IDE criteria: While VSCode has some great support for Python coding with the 'Python' plugin by Microsoft, P圜harm is truly designed for Python development and it shows. P圜harm Community edition and Visual Studio Code (VSCode) are both very capable integrated development environments for Python coding.

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