# Introduction The `reshape()` function in the NumPy library is mainly used to change the shape of an array without changing its underlying data. It helps in providing a new shape to an array that can be useful based on your use case. In this lab, we will cover the basic usage of the `reshape()` function and the different parameters and values it uses. ## 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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