How is NumPy used in data science?
An example of an AI chatbot conversation about Python's NumPy library in data science.
How is NumPy used in data science?
NumPy is a fundamental library for numerical computing in Python, widely used in data science for handling arrays and matrices.
Can you give me an example of how to create an array in NumPy?
Sure! You can create a NumPy array using the np.array() function. For example: import numpy as np; arr = np.array([1, 2, 3]).
What are some common functions in NumPy that data scientists use?
Common functions include np.mean(), np.median(), np.std(), and np.dot() for statistical analysis and linear algebra.
How does NumPy compare to other libraries like Pandas?
NumPy is primarily for numerical operations, while Pandas is built on top of NumPy and provides data structures for data manipulation and analysis.
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