# Introduction This lab provides a step-by-step guide to creating and using NumPy arrays. NumPy arrays are multidimensional, grid-like structures used for scientific computing and data analysis in Python. They have several advantages over Python lists, including faster computation, easier manipulation, and better memory management. ## 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