Introduction to NumPy
Get acquainted with NumPy, a Python library used to store arrays of numbers, and learn basic syntax and functionality.
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Key Concepts
Review core concepts you need to learn to master this subject
Indexing NumPy elements using conditionals
NumPy element-wise logical operations
Creating NumPy Arrays from files
NumPy Arrays
Accessing NumPy Array elements by index
NumPy element-wise arithmetic operations
Indexing NumPy elements using conditionals
Indexing NumPy elements using conditionals
numbers = np.array([-5, 4, 0, 2, 3])
positives = numbers[numbers > 0]
print(positives)
# array([4, 2, 3])NumPy elements can be indexed using conditionals. The syntax to filter an array using a conditional is array_name[conditional].
The returned array will contain only the elements for which the conditional evaluates to True.
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Introduction to NumPy
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