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Improve Score Better With NSE4-5.4 Exam Cram
Tired of doing the same job? Get your hands on NSE4-5.4 exam It is the nature of the human being that he/she will get tired of doing the same task ove ...
分类:其他好文   时间:2019-08-06 19:52:49    阅读次数:76
mysql 获取单个科目的平均分
mysql> select * from test; +----+----------+-------+-----------+ | id | name | score | subject | +----+----------+-------+-----------+ | 1 | xiaoming ... ...
分类:数据库   时间:2019-08-05 21:55:04    阅读次数:154
把对象数据按照某一个属性进行分类
var data = [ {name:'张三',score:56}, {name:'张三',score:70}, {name:'李四',score:100} ] sort_pro(data ,'name') 结果: ...
分类:其他好文   时间:2019-07-27 17:09:35    阅读次数:82
Improve Score Better With CFA-Level-II Exam Cram
Tired of doing the same job? Get your hands on CFA-Level-II exam It is the nature of the human being that he/she will get tired of doing the same task ...
分类:其他好文   时间:2019-07-20 19:58:23    阅读次数:111
Improve Score Better With 300-320 Exam Cram
Tired of doing the same job? Get your hands on 300-320 exam It is the nature of the human being that he/she will get tired of doing the same task over ...
分类:其他好文   时间:2019-07-20 19:51:01    阅读次数:80
Improve Score Better With 200-155 Exam Cram
Tired of doing the same job? Get your hands on 200-155 exam It is the nature of the human being that he/she will get tired of doing the same task over ...
分类:其他好文   时间:2019-07-20 19:50:22    阅读次数:64
Python_面向对象练习题
面向对象练习: """侧重于面向对象""" 01.自己写一个Student类,此类的对象有属性name, age, score, 用来保存学生的姓名,年龄,成绩: 1) 写一个函数input_student读入n个学生的信息,用对象来存储这些信息(不用字典),并返回对象的列表 2) 写一个函数out ...
分类:编程语言   时间:2019-07-20 10:18:00    阅读次数:693
python.pandas groupby根据最小值更改某列数据
根据outid列和course_no列对数据进行group_by然后count 想要获得count=3的分组中 score的最小值 并根据score最小值所在的行去修改另外一列 思路是先筛选出count>2的outid和course_no 然后和原先的dataframe取交集 对交集再进行group ...
分类:编程语言   时间:2019-07-16 18:21:12    阅读次数:237
冒泡排序
int score[] ={60,54,89,32,45} for(int i=0;i<score.Length-1;i++) //控制循环趟数 { for(int j=0;j<score.Length-1-i;j++) //控制循环次数 { if(score[j]<score[j+1]) //当前 ...
分类:编程语言   时间:2019-07-14 15:06:43    阅读次数:100
XGBoost使用教程(纯xgboost方法)一
一、导入必要的工具包# 导入必要的工具包import xgboost as xgb # 计算分类正确率from sklearn.metrics import accuracy_score二、数据读取XGBoost可以加载libsvm格式的文本数据,libsvm的文件格式(稀疏特征)如下:1 101: ...
分类:其他好文   时间:2019-07-09 00:13:14    阅读次数:569
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