3.1 - What is NumPy?
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Practice Questions
Test your understanding with targeted questions
What does NumPy stand for?
💡 Hint: Look at the acronym.
Why are NumPy arrays preferred over Python lists?
💡 Hint: Think about performance.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does NumPy allow us to do?
💡 Hint: Think about what mathematical tasks you'd need.
True or False: NumPy arrays cannot be multidimensional.
💡 Hint: Consider the types of datasets you'll encounter.
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Challenge Problems
Push your limits with advanced challenges
Create a NumPy array of the first 10 square numbers and calculate their mean and standard deviation.
💡 Hint: Think about how to generate squares and then apply the mean and std functions.
Given two arrays, calculate their dot product using NumPy and interpret the results in a machine learning context.
💡 Hint: Utilize `np.dot()` function and think about scenarios where vector alignment matters.
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