这里https://zhangphil.blog.csdn.net/article/details/122377041https://zhangphil.blog.csdn.net/article/details/122377041 有Windows环境下搭建nginx服务器的步骤。下面使用nginx在Windows环境下搭建文件服务器。假设现在需求是把 D:\program 文件夹下所有文件共享

在上一篇的基础上，把各个省的城市经纬度解析出来：import jsonNAME = 'n'GEO = 'g'CITIES = 'cities'PROVINCES = 'provinces'# 把百度文件装入字符串def load_origin_bd_file_to_str():f = open(file='BaiduMap_cityCenter.txt', mode='r', encoding='

Windows系统上跑Java的ZipFile报错：Caused by: java.util.zip.ZipException: invalid CEN header (bad entry name)原因是编解码出现错误，加入gbk编码格式解决：

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