🚀 NumPy Quiz: 30 Essential Questions for Pythonistas!

NumPy (Numerical Python) is a Python library used for scientific computing. It provides multi-dimensional arrays, mathematical functions, linear algebra operations, and random number generation. It is widely used for data analysis, machine learning, and numerical computing because it is faster and more efficient than Python lists.

You can install NumPy using pip: pip install numpy Or, if using Anaconda: conda install numpy

Mean (average): np.mean(arr), Median (middle value): np.median(arr), Standard deviation: np.std(arr)

concat_arr = np.concatenate((arr1, arr2))

ndarray stands for "N-dimensional array" and is the primary data structure in NumPy, allowing you to store and manipulate homogeneous data (data of the same type) in a multi-dimensional grid.