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NumPy in Python
- NumPy is a powerful open-source library in Python used for working with large, multi-dimensional arrays and matrices.
- NumPy has a variety of built-in functions for arithmetic and mathematical operations, statistical analysis, and other advanced operations.
- NumPy is widely used in image processing tasks since images can be represented as multi-dimensional arrays.
- NumPy supports the creation of n-dimensional arrays and the dimension of an array is determined by counting the number of square brackets.
- In NumPy, arrays can hold elements of different data types, which are specified when the array is created.
- Broadcasting refers to the ability of NumPy to perform element-wise operations on arrays of different shapes and sizes.
- np.stack() function is used to join multiple arrays along a new axis, effectively adding a new dimension to the resulting array.
- The np.split() function is used to split arrays into multiple sub-arrays along a specified axis.
- np.insert() function is used whenever we want to insert value in a specified index.
- Matrix is different from an array in the way that it performs matrix calculations like dot multiplication.
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