# Introduction In data analysis and scientific computing, the numpy library is a popular tool for faster mathematical operation. The `numpy.asarray()` function is used to convert the input data into a NumPy array object. The function can accept any existing data like Lists, Tuples, and ndarrays and convert it into an array. This lab will provide the step-by-step guide to using the `numpy.asarray()` function with examples. ## 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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