What are the basics of using NumPy in Python?
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What are the basics of using NumPy in Python?
NumPy is a powerful library for numerical computing in Python. It provides support for arrays, matrices, and many mathematical functions.
How do I create a NumPy array?
You can create a NumPy array using the numpy.array() function. For example: import numpy as np; arr = np.array([1, 2, 3]).
What are some common functions I can use with NumPy arrays?
Common functions include np.mean(), np.sum(), np.max(), and np.min(), which perform various statistical operations.
Can I perform element-wise operations on NumPy arrays?
Yes, NumPy allows element-wise operations. For example, adding two arrays will add their corresponding elements.
What is broadcasting in NumPy?
Broadcasting is a powerful mechanism that allows NumPy to perform operations on arrays of different shapes.
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