python tutor github

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title: getting started with python tutor on github: a step-by-step tutorial
introduction:
python tutor is a powerful tool that helps visualize and understand python code execution step by step. in this tutorial, we'll explore how to use python tutor on github to create interactive visualizations of your python code. whether you're a beginner looking to understand the flow of your code or an experienced developer trying to debug complex algorithms, python tutor can be a valuable asset.
before you can use python tutor on github, you need to install it. follow these steps:
if you don't have a github account, create one. then, create a new repository to host your python code.
create a python script or copy an existing one into your github repository. for example, let's create a simple script named example.py:
create a file named requirements.txt in your repository to specify the dependencies. in this case, we only have python tutor:
create a file named .github/workflows/pytutor.yml with the following content:
commit the changes to your repository:
visit the "actions" tab in your github repository to see the workflow in progress. once it completes successfully, you can access python tutor visualizations by clicking on the corresponding github actions run.
now, whenever you push changes to your repository, the github actions workflow will run python tutor and generate interactive visualizations for your python code.
by following these steps, you've successfully set up python tutor on github to visualize and understand the execution flow of your python code. feel free to explore more features and options offered by python tutor to enhance your debugging and learning experience.
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