# Introduction In this lab, we will learn how to use the `DataFrame.backfill()` method in the Pandas library. This method allows us to fill missing values in a DataFrame with values from the next entry in the same column. We will learn how to use this method with various parameters to handle missing data effectively. ## 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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