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[
{
"role": "user",
"content": "How do I concatenate two numpy arrays vertically?"
},
{
"role": "assistant",
"content": "You can use np.vstack() function to concatenate two arrays vertically. For example, array1 = np.array([[1, 2], [3, 4]]), array2 = np.array([[5, 6], [7, 8]]), then np.vstack((array1, array2)) will give you [[1, 2], [3, 4], [5, 6], [7, 8]]."
}
] |
[
{
"role": "user",
"content": "How do I generate a random float between 0 and 1 using numpy?"
},
{
"role": "assistant",
"content": "You can use `numpy.random.rand()` for this purpose."
}
] |
[
{
"role": "user",
"content": "How do I generate random numbers from a standard normal distribution using numpy?"
},
{
"role": "assistant",
"content": "You can use the `numpy.random.normal()` function. For example, to generate an array of 10 random numbers from a standard normal distribution: `np.random.normal(size=10)`"
}
] |
[
{
"role": "user",
"content": "How do I calculate the dot product of two arrays using numpy?"
},
{
"role": "assistant",
"content": "You can use the np.dot() function to compute the dot product. For example, np.dot([1, 2], [3, 4]) will give you 1*3 + 2*4 = 11."
}
] |
[
{
"role": "user",
"content": "How do I slice an array from index 2 to index 5 using numpy?"
},
{
"role": "assistant",
"content": "You can use numpy's indexing like this: `arr[2:5]`"
}
] |
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