super notepad.zip

WINAPI所操作的INI文件的封装类,可以实现写数字字符串文件创建等功能.-WINAPI operated package INI file type, you can write numbers and strings to achieve the functions of file creation.

一个读取和写入ini配置文件的例子。从list1中读出数据写入到ini文件，再从ini文件写入到list2。-Ini to read and write a configuration file example. List1 in读出数据from written to ini file, ini file from the write to list2.

一个vc＋matlab混合编程的例程-a mixed vc+ Matlab programming routines

文件的读取操作，VC++代码读取TXT文件，自己调试过的，可用-File read operation, VC++ Code to read TXT files, have their own debugging can be

一个上大二时很适合的课程设计程度,比较简单,不过是对面向对象程序设计的很好的检验-on pursuing a very suitable curriculum design, relatively simple, but the object-oriented programming a good test

以文件方式保存和恢复treeview 是一款比较新的字做小工具-on paper preservation and restoration treeview is a relatively new character of small tools

VC6.0关于串行化的设计，使用CArchive类对文件进行操作。MFC框架程序提供的文件新建与打开功能内部的实现机制。如何利用CDocument类的串行化存储功能保存与加载数据。如何实现类对串行化的支持，CObArray的串行化实现内幕。删出文档数据时常犯的错误。MFC框架程序的文档类和视类的关系，以及如何获得相互的指针引用。-VC6.0 on the design, use CArchive category of documents for the operation. MFC framework of the procedures and documents open new function within the Implementation Mechanism. CDocument class how to use the serial storage function preservation and loading data. How to achieve the kind of support Serial, Serial CObArray realization insider. Cut out data files often made mistakes. MFC framework of the procedures and documentation such as the type of relationship, and how to access each other indicators cited.

一个专门用来处理打开文件时发生错误的函数。提示：文件打开过多。-one devoted to open the file when an error in the function. Tip : too many open documents.

一个用vc开发的小程序，写文件，采用面向对象的设计思想，还是不错的

应用背景开始是做movielense的数据，可以把原始数据任意划分为train.dat和test.dat，主要是为了做验证实验。非常简单明了，适合初学者看看，如果不喜欢，请轻喷。关键技术# -*- coding: cp936 -*- from sklearn import cross_validation c = [] filename = r"Raw.data" #原始数据 out_train = open(r"train.txt","w") #训练集 out_test = open(r"test.txt","w") #测试集 for line in open(filename):     items = line.strip().split(",")      c.append(items)   c_train,c_test = cross_validation.train_test_split(c,test_size=0.1)#size =你需要的比例 for i in c_train:     out_train.write(",".join(i)+" ") for i in c_test:     out_test.write(",".join(i)+" ")