Q. What are the key features and benefits of Jupyter Lab, and how does it differ from Jupyter Notebook?
Q. What are the main functionalities provided by the NumPy library, and how can it be useful in Python programming, particularly for scientific computing and data manipulation tasks?
Q. Explain the basic structure and properties of NumPy arrays, and provide examples of how to create, manipulate, and perform operations on them.
Similar to lists in python, these arrays are centered arounf numerical datasets, and allow the user to manipulate these arrays. Here are a few examples of what you can do with them…
How often is NumPy used in the industry and what would it be used for in a company? Maybe keeping track of sales?