# Introduction In this lab, we will explore how to use the nullable integer data type in pandas, which is an efficient way to handle integer data that may contain missing values. We will learn how to construct arrays with this data type, perform operations, and handle missing values 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.
Click the virtual machine below to start practicing