Run Python code from GitHub online

Run Python code from GitHub online

I'll respond in English as per your request.

Before I proceed with the task, let me clarify that running Python code from GitHub online might not be a straightforward process. However, I can guide you through a possible solution using GitHub's Gist feature and Repl.it or Google Colab for executing the code.

Here are the steps:

Let's consider an example. Suppose we want to run this Python script from GitHub:

import pandas as pd
Load CSV file
df = pd.read_csv('https://raw.githubusercontent.com/jakevdp/COVID-19/master/nyc_data.csv')
Print the first few rows of the data frame
print(df.head())

This script loads a COVID-19 dataset from GitHub and prints the first few rows. To run this script, follow these steps:

Using Repl.it:

Using Google Colab:

Remember that these platforms have limitations and might not be suitable for running large-scale data processing tasks. However, they can be useful tools for testing small Python scripts or experimenting with code snippets.

Let me know if you have any questions or need further assistance!

Can you run Python code in GitHub?

GitHub provides a service called GitHub Actions that allows you to run your code in the cloud and automate various tasks, such as building, testing, and deploying your project.

To run Python code in GitHub, you can use GitHub Actions and create a workflow file (.yml) that specifies the steps needed to run your code. Here's an example of how you can do this:

Let's say you have a Python project in a repository on GitHub, and you want to automate the process of running your code and sending the output to a specific location.

You would create a new file in your repository called .github/workflows/run-python.yml (the .yml extension is important for GitHub Actions) with the following contents:

name: Run Python
on:
push:
branches:

main

jobs:
run-python:
runs-on: ubuntu-latest
steps:

name: Checkout code

uses: actions/checkout@v2

name: Install dependencies

run: pip install --upgrade pip
env:
PIP_USER_NO_INDEX: "true"

name: Run Python code

run: python your_script.py

name: Save output to file

uses: actions/download-artifact@v2
with:
name: output

In this example, the workflow file specifies the following steps:

To run this workflow, you would need to commit the changes to your repository and push them to GitHub. Then, GitHub Actions would automatically run the workflow whenever you pushed new code to the main branch.

You can also use other features of GitHub Actions, such as:

Overall, running Python code in GitHub provides a convenient way to automate tasks related to your code without having to set up and maintain your own infrastructure.