mengdiwang

./configure --enable-optimized --enable-assertions --enable-expensive-checks 
CXXFLAGS+="-fexceptions" make -j3

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Date.prototype.format = function(format)
{
    var o = {
    "M+" : this.getMonth()+1, //month
    "d+" : this.getDate(),    //day
    "h+" : this.getHours(),   //hour
    "m+" : this.getMinutes(), //minute
    "s+" : this.getSeconds(), //second
    "q+" : Math.floor((this.getMonth()+3)/3),  //quarter
    "S" : this.getMilliseconds() //millisecond

mengdiwang

python http://v.163.com/special/opencourse/bianchengdaolun.html

mengdiwang

#解决Python2.7的UnicodeEncodeError: ‘ascii’ codec can’t encode异常错误
import sys
reload(sys)
sys.setdefaultencoding('utf-8')

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/**
 * Definition for singly-linked list.
 * struct ListNode {
 *     int val;
 *     ListNode *next;
 *     ListNode(int x) : val(x), next(NULL) {}
 * };
 */
class Solution {
public:

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class Solution {
public:
    int missingNumber(vector<int>& nums) {
        int sum = 0;
        for(int i=0; i<nums.size(); i++)
        {
            sum += nums[i];
        }
        return (1+nums.size())*nums.size()/2 - sum;
    }

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/**
 * Definition for binary tree with next pointer.
 * struct TreeLinkNode {
 *  int val;
 *  TreeLinkNode *left, *right, *next;
 *  TreeLinkNode(int x) : val(x), left(NULL), right(NULL), next(NULL) {}
 * };
 */
class Solution {
public:

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class Solution {
public:
    int numTrees(int n) {
        if(n<=1) return 1; 
        int *a = new int[n+1];
        memset(a, 0, sizeof(int)*(n+1));
        a[1] = 1;
        a[0] = 1;
        for(int i=2; i<=n; i++)
        {

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class Solution {
public:
    int searchInsert(vector<int>& nums, int target) {
        int lo = 0;
        int hi = nums.size()-1;
        while(lo<=hi)
        {
            int mid = ((lo-hi)>>1) + hi;
            if(nums[mid] == target)
                return mid;

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#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]