title: "4_Numpy-specific_help_functions_Solutions" date: 2026-05-24T13:51:41Z 1import numpy as np 1np.version '1.11.2' Q1. Search for docstrings of the numpy functions on linear algebra. 1np.lookfor('linear algebra') Search results for 'linear algebra' ----------------------------------- numpy.linalg.solve Solve a …

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title: "Input and Output" date: 2026-05-24T13:51:44Z Input and Output 1from future import print_function 2import numpy as np 1author = "kyubyong. https://github.com/Kyubyong/numpy_exercises" 1np.version '1.12.0' 1from datetime import date 2print(date.today()) 2017-04-01 NumPy binary files (NPY, NPZ) Q1. Save x …

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title: "Input and Output" date: 2026-05-24T13:51:46Z Input and Output 1from future import print_function 2import numpy as np 1author = "kyubyong. https://github.com/Kyubyong/numpy_exercises" 1np.version '1.12.0' 1from datetime import date 2print(date.today()) 2017-04-01 NumPy binary files (NPY, NPZ) Q1. Save x …

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title: "Linear algebra" date: 2026-05-24T13:51:49Z Linear algebra 1import numpy as np 1np.version '1.11.2' Matrix and vector products Q1. Predict the results of the following code. 1x = [1,2] 2y = [[4, 1], [2, 2]] 3#print np.dot(x, y) 4#print np.dot(y, x) 5#print np.matmul(x, y) 6#print np.inner(x, y) 7#print …

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title: "Linear algebra" date: 2026-05-24T13:51:52Z Linear algebra 1import numpy as np 1np.version '1.11.2' Matrix and vector products Q1. Predict the results of the following code. 1x = [1,2] 2y = [[4, 1], [2, 2]] 3print np.dot(x, y) 4print np.dot(y, x) 5print np.matmul(x, y) 6print np.inner(x, y) 7print …

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title: "cf." date: 2026-05-24T13:51:55Z 1from future import print_function 2import numpy as np 3import matplotlib.pyplot as plt 4%matplotlib inline 1from datetime import date 2date.today() datetime.date(2017, 11, 2) 1author = "kyubyong. https://github.com/Kyubyong/numpy_exercises" 1np.version '1.13.1' Complex …

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title: "cf." date: 2026-05-24T13:51:58Z 1from future import print_function 2import numpy as np 3import matplotlib.pyplot as plt 4%matplotlib inline 1from datetime import date 2date.today() datetime.date(2017, 11, 2) 1author = "kyubyong. https://github.com/Kyubyong/numpy_exercises" 1np.version '1.13.1' Complex …

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title: "Logic functions" date: 2026-05-24T13:52:01Z Logic functions 1import numpy as np 1np.version '1.11.2' Truth value testing Q1. Let x be an arbitrary array. Return True if none of the elements of x is zero. Remind that 0 evaluates to False in python. 1x = np.array([1,2,3]) 2# 3 4x = np.array([1,0,3]) 5# True …

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title: "Logic functions" date: 2026-05-24T13:52:03Z Logic functions 1import numpy as np 1np.version '1.11.2' Truth value testing Q1. Let x be an arbitrary array. Return True if none of the elements of x is zero. Remind that 0 evaluates to False in python. 1x = np.array([1,2,3]) 2print np.all(x) 3 4x = …

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title: "Mathematical functions" date: 2026-05-24T13:52:06Z Mathematical functions 1import numpy as np 1np.version '1.11.2' 1__author__ = "kyubyong. kbpark.linguist@gmail.com. https://github.com/kyubyong" Trigonometric functions Q1. Calculate sine, cosine, and tangent of x, element-wise. 1x = np.array([0., 1., 30, …

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