zhyann
Exfiltrated
简介point 10Warm upDifficulty Easyrated by community INTERMEDIATE Attack and exfiltrate the target! 实验环境攻击者 Kali 192.168.45.200受害者 IP 192.168.186.163 Linux 1. 信息...
Astronaut
简介point 10Warm upDifficulty Easyrated by community INTERMEDIATE One small step for man, one giant leap for ..... 实验环境攻击者 Kali 192.168.45.200受害者 IP 192.168.200.12 ...
Flimsy
简介point 10Warm upDifficulty Easyrated by community INTERMEDIATE No more flimsy excuses 实验环境攻击者 Kali 192.168.45.200受害者 IP 192.168.200.220 Linux 1. 信息收集收集受...
Levram
简介point 10Warm upDifficulty Easyrated by community Easy Part 3 of Mid Year CTF machines 实验环境攻击者 Kali 192.168.45.200受害者 IP 192.168.200.24 Linux 1. 信息收集收集受...
Codo
简介point 10Warm upDifficulty Easyrated by community Easy Part 2 of Mid Year CTF machines 实验环境攻击者 Kali 192.168.45.200受害者 IP 192.168.200.23 Linux 1. 信息收集收集受...
循环补充内容
1. for循环自带计数 enumeratenames = ['a', 'b', 'c', 'd'] for i, name in enumerate(names): print(i, name) 2. 循环的时候合并多个列表 zipnames = ['a', 'b', 'c', 'd'] ages = [10, 20, ...
缺失值处理
我们想把NaN缺失值给处理掉 1. 如何处理NAN判断数据是否是NAN:pd.isnull(df)pd.notnull(df)处理方式:存在缺失值nan，并且是np.nan 删除存在缺失值的:dropna(axis='rows') 替换缺失值:filena(...
pandas文件读取和保存
能读取和保存的格式如下 1. CSV读取csvpandas.read_csv(filepath,sep=',')filepath:文件路径usecols:制定读取的列名，列表形式 读取open和close列import pandas as pd stock_data = pd.read_c...
DataFrame运算
1. 算数运算准备数据import pandas as pdstock_data = pd.read_csv('/root/Documents/stock_data.csv')print(stock_data) 2. 算数运算加法close列全体加10print(stock_data['close'].add(10))...
赋值和排序操作
准备数据import pandas as pd stock_data = pd.read_csv('/root/Documents/stock_data.csv') print(stock_data) 1. 赋值操作stock_data['volume'] = 100 print(stock_data)都变成了100或者使用...