How to Run a Python Script in a py File from a Google Colab Notebook

As a software engineer, you might be aware of the importance of using a notebook environment to run your code seamlessly. Google Colab is one of the most popular online notebook environments that allows you to write and run your code in a browser. In this tutorial, we will explore how to run a Python script in a ‘.py’ file from a Google Colab notebook.

What is Google Colab?

Google Colab is an online notebook environment that allows you to run Python code in a browser. It is a cloud-based service that provides access to a free GPU and TPU for running machine learning models. Colab notebooks are based on Jupyter notebooks and allow you to write and execute code in a variety of languages, including Python, R, and Julia.

Uploading a ‘.py’ File to Google Colab

The first step in running a Python script in a ‘.py’ file from a Google Colab notebook is to upload the file to the Colab environment. You can do this by following these simple steps:

1. Open a new Colab notebook or an existing one.
2. Click on the “Files” button on the left-hand side of the notebook.
3. Click on the “Upload” button and select the ‘.py’ file you want to upload.
4. Once the file is uploaded, you can see it in the “Files” section.

Running a Python Script from a ‘.py’ File in Google Colab

Now that you have uploaded the ‘.py’ file to Google Colab, you can run the Python script using the following steps:

1. Open a new cell in the Colab notebook by clicking on the “+” button at the top left corner of the page.
2. In the new cell, type the following command, replacing “file_name.py” with the name of the ‘.py’ file you uploaded:

!python file_name.py

3. Press the “Shift” + “Enter” keys to execute the cell.

Conclusion

Google Colab is a powerful tool for running Python code in a browser. In this tutorial, we have shown you how to run a Python script in a ‘.py’ file from a Google Colab notebook. By following these simple steps, you can seamlessly integrate your existing Python code with Google Colab and take advantage of its powerful features.