# Introduction In this lab, we will explore the `interpolate()` method in the Pandas library for Python. The `interpolate()` method is used to fill missing or NaN (Not a Number) values in a DataFrame using various interpolation techniques. Interpolation is the process of estimating the missing values based on the existing data points. ## VM Tips After the VM startup is done, click the top left corner to switch to the **Notebook** tab to access Jupyter Notebook for practice. Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook. If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
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