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import numpy as npprint (np.mean(my_list))def getmean(numericValues): return sum(numericValues)/len(numericValues) if len(numericValues) > 0 else floa 阅读全文
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x = 5 if x > 6 : print("x is greater than six")elif x > 4 and x == 5: print("{}".format(x))else: print("x is not greater than four") 5 y = ['Jan','Feb 阅读全文
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empty_dict = {}a_dict = {'one':1,'two':2,'three':3}print("{}".format(a_dict))print("{}".format(len(a_dict)))another_dict = {'x':'printer','y':5,'z':[' 阅读全文
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my_tuple = ('x','y','z')print("{}".format(my_tuple))print("{}".format(len(my_tuple)))longer_tuple = my_tuple + my_tupleprint("{}".format(longer_tuple) 阅读全文
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a_list = [1,2,3]another_list = ['printer',5,['start','circle','9']]a_new_list = a_list[:] print("{}".format(a_new_list))a = 2 in a_listprint("{}".form 阅读全文
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1.1 字符串函数 字符串可以包含在单引号、双引号、3个单引号、3个双引号之间。 split() --将一个字符串拆分成一个子字符串列表。 string1 = "My deliverable is due in may"string1_list1 = string1.split() string1_ 阅读全文
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import numpy as npimport matplotlib.pyplot as pltfrom sklearn import linear_modelfrom sklearn import datasets%matplotlib inlinediabetes = datasets.loa 阅读全文
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from sklearn import linear_modellinreg = linear_model.LinearRegression()from sklearn import datasetsdiabetes = datasets.load_diabetes()diabetesx_train 阅读全文
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import numpy as npimport matplotlib.pyplot as pltfrom matplotlib.colors import ListedColormapfrom sklearn import datasetsfrom sklearn.neighbors import 阅读全文
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import numpy as npfrom sklearn import datasetsfrom sklearn.neighbors import KNeighborsClassifiernp.random.seed(0)iris = datasets.load_iris()x = iris.d 阅读全文