Modules and Packages
Python Notes: Libraries like NumPy
Current String: Libraries like NumPy NumPy is a fundamental library for numerical computing in Python. It provides powerful tools for working with arrays and matrices, significantly speeding up numerical operations compared to using standard Python lists.
Key Features:
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ndarray(n-dimensional array): The core data structure of NumPy. Allows for efficient storage and manipulation of large arrays of numerical data. NumPy ndarrays -
Broadcasting: Enables element-wise operations between arrays of different shapes under certain conditions. NumPy Broadcasting
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Vectorized Operations: Allows for applying operations to entire arrays at once, avoiding explicit loops and significantly improving performance.
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Linear Algebra: NumPy provides functions for linear algebra operations like matrix multiplication, eigenvalue decomposition, etc. NumPy Linear Algebra
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Random Number Generation: Provides functions for generating various types of random numbers. NumPy Random Number Generation
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Fourier Transforms: NumPy offers tools for performing Fourier transforms, useful in signal processing and other applications. NumPy Fourier Transforms
Example:
import numpy as np
# Creating a NumPy array
arr = np.array(1, 2, 3, 4, 5)
# Performing element-wise operations
squared_arr = arr ** 2
# Matrix multiplication
matrix1 = np.array(1, 2, 3, 4)
matrix2 = np.array(5, 6, [7, 8](./../7,-8/))
result = np.dot(matrix1, matrix2)
print(arr)
print(squared_arr)
print(result)
Related Notes: