title: "f计算方程组的误差，[1,1,1]是未知数的初始值" date: 2026-05-24T14:11:06Z 1import pylab as pl 2import numpy as np 1import matplotlib as mpl 2mpl.rcParams['font.sans-serif'] = ['SimHei'] 拟合与优化-optimize 非线性方程组求解 1from math import sin, cos 2from scipy import optimize 3 4def f(x): #❶ 5 x0, x1, x2 = x.tolist() #❷ 6 return [ 7 5*x1+3, …

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title: "3_String_operations" date: 2026-05-24T13:51:32Z String operations 1from future import print_function 2import numpy as np 1author = "kyubyong. https://github.com/Kyubyong/numpy_exercises" 1np.version '1.11.3' Q1. Concatenate x1 and x2. 1x1 = np.array(['Hello', 'Say'], dtype=np.str) 2x2 = np.array([' …

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title: "compare" date: 2026-05-24T13:51:35Z String operations 1from future import print_function 2import numpy as np 1author = "kyubyong. https://github.com/Kyubyong/numpy_exercises" 1np.version '1.11.3' Q1. Concatenate x1 and x2. 1x1 = np.array(['Hello', 'Say'], dtype=np.str) 2x2 = np.array([' world', ' …

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title: "3.scipy-linalg" date: 2026-05-24T14:11:09Z 1import pylab as pl 2import numpy as np 3from scipy import linalg 1import matplotlib as mpl 2mpl.rcParams['font.sans-serif'] = ['SimHei'] 线性代数-linalg 解线性方程组 1import numpy as np 2from scipy import linalg 3 4m, n = 500, 50 5A = np.random.rand(m, m) 6B = …

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title: "4_Numpy-specific_help_functions" date: 2026-05-24T13:51:38Z 1import numpy as np 1np.version '1.11.2' Q1. Search for docstrings of the numpy functions on linear algebra. Search results for 'linear algebra' ----------------------------------- numpy.linalg.solve Solve a linear matrix equation, or system of …

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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: "4.scipy-stats" date: 2026-05-24T14:11:12Z 1import numpy as np 2import pylab as pl 3from scipy import stats 1import matplotlib.pyplot as plt 2import matplotlib as mpl 3mpl.rcParams['font.sans-serif'] = ['SimHei'] 统计-stats 连续概率分布 1from scipy import stats 2[k for k, v in stats.dict.items() if isinstance(v, …

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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: "调用ode对lorenz进行求解, 用两个不同的初始值" date: 2026-05-24T14:11:14Z 1import pylab as pl 2import numpy as np 3from scipy import integrate 4from scipy.integrate import odeint 5import matplotlib as mpl 6mpl.rcParams['font.sans-serif'] = ['SimHei'] 数值积分-integrate 球的体积 1def half_circle(x): 2 return (1-x**2)**0.5 1N = 10000 2x …

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