import numpy as npif __name__ == "__main__":a = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8]).astype(float)print('平均值')print(a.mean(axis=0))print('方差')print(np.var(a))print('标...

AI：CNN神经网络猫狗分类经典案例猫狗的训练数据可以在kaggle下载：https://www.kaggle.com/tongpython/cat-and-dog/data本例使用ImageDataGenerator在迭代生成训练数据时候，需要把训练数据和验证，测试数据分类放置到data下面三个不同目录文件夹下。如图：因为有猫和狗两类，所有在data/train目录下，...

Python，Django报错：Refused to display ‘url’ in a frame because it set ‘X-Frame-Options’ to ‘DENY’解决方案：在settings.py代码文件里面增加一行配置：X_FRAME_OPTIONS = 'ALLOWALL'

直接使用图中的节点父子关系循环遍历，不像之前那样在数组内操作排序。import randomfrom binarytree import build, get_parentdef app():data = []SIZE = 10for i in range(SIZE):data.append(i)random.shuffle(data)my_tree = build(data)print(my_t

import plotly.express as pximport pandas as pdimport matplotlib.pyplot as pltfrom sklearn.datasets.samples_generator import make_blobsfrom sklearn.preprocessing import MinMaxScalerdef dummy_d...

import randomimport networkx as nximport matplotlib.pyplot as pltWALKABLE = 'walkable'PARENT = 'parent'VISITED = 'visited'def my_graph():M = 7N = 9G = nx.grid_2d_graph(m=M, n=N)pos = nx.spring_layout(

自己用Python写的Dijkstra实现，练手import randomimport timeimport networkx as nximport matplotlib.pyplot as pltfrom collections import dequedef my_graph():# 随机图6个node，8条edgeG = nx.gnm_random_graph(6, 8)# 为图中的边增加

import networkx as nximport matplotlib.pyplot as pltdef my_graph():G = nx.cubical_graph()pos = nx.spring_layout(G)options = {"node_size": 400, "alpha": 0.8}nx.draw_networkx_nodes(G, pos,nodelist=[0, 1

Python命令行搭建文件下载服务器，Python3这段命令告诉Python系统在端口8080启动http服务器。--directory 后面的文件夹 E:/code/作为http服务器对外提供文件下载共享的根目录。启动成功后，在浏览器输入127.0.0.1:8080，如图：.........

Python报错TabError: inconsistent use of tabs and spaces in indentationPython编译器报错：TabError: inconsistent use of tabs and spaces in indentation原因是ide里面的编译器对于空格键和tab键的处理问题。解决方法：在报错的代码开头处，删掉tab键，用4个空格替换。..