<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[李奥 - 追梦赤子心]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/u010899135</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; u010899135]]></copyright><item><title><![CDATA[安装ubuntu]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78702198</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78702198</guid><author>u010899135</author><pubDate>Sun, 03 Dec 2017 16:22:54 +0800</pubDate><description><![CDATA[1 在https://www.ubuntu.com/download/desktop 下载ubuntu
2 使用U盘安装ubuntu，window下使用工具Rufus https://rufus.akeo.ie/   Mac下参考https://tutorials.ubuntu.com/tutorial/tutorial-create-a-usb-stick-on-macos#0
3 wind]]></description><category></category></item><item><title><![CDATA[Reinforcement learning tips]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78524304</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78524304</guid><author>u010899135</author><pubDate>Tue, 14 Nov 2017 19:39:48 +0800</pubDate><description><![CDATA[Reinforcement 算法：（1）通过行为的价值选择特定的行为，包括基于表格学习的Q learning, Sarsa，使用神经网络进行学习的Deep Q Network
                                        （2）直接选择行为的Policy Gradients
                                        （3）]]></description><category></category></item><item><title><![CDATA[matplotlib tips]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78505262</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78505262</guid><author>u010899135</author><pubDate>Sat, 11 Nov 2017 19:53:40 +0800</pubDate><description><![CDATA[##matplotlib可以画出：线图，散点图，等高线图，条形图，柱状图，3D图形，图形动画等

import matplotlib.pyplot as plt
import numpy as np

#使用np.linspace定义x:范围是(-1,1),个数是50个
#仿真一维数组(x,y)表示曲线
x = np.linspace(-1,1,50)
y = 2*x + 1
]]></description><category></category></item><item><title><![CDATA[Numpy 性能]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78503359</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78503359</guid><author>u010899135</author><pubDate>Fri, 10 Nov 2017 21:38:20 +0800</pubDate><description><![CDATA[#简单好用的python（速度慢）+ 速度较快的numpy（基于C语言）
#在numpy中，创建二维数组的默认方式为“C-type”，以行序在内存中存储数据
#如果是“Fortran”方式创建，是以列序在内存中存储
import numpy as np
import pandas as pd
import time
row_major = np.zeros((10,10),order ]]></description><category></category></item><item><title><![CDATA[pandas tips one]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78502810</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78502810</guid><author>u010899135</author><pubDate>Fri, 10 Nov 2017 20:05:08 +0800</pubDate><description><![CDATA[import pandas as pd

df1 = pd.DataFrame({'col1':[0,1],'col_left':['a','b']})#按列定义
df2 = pd.DataFrame({'col1':[1,2,2],'col_right':[2,2,2]})

print(df1)
##   col1 col_left
##0     0        a
##1]]></description><category></category></item><item><title><![CDATA[Pandas tips]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78500061</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78500061</guid><author>u010899135</author><pubDate>Fri, 10 Nov 2017 17:24:26 +0800</pubDate><description><![CDATA[#numpy主要是列表形式，pandas主要是字典形式，pandas是基于numpy构建的
#使得应用更加的简单，pandas的两个主要的数据结构为：Series和DataFrame

import pandas as pd
import numpy as np
s = pd.Series([1,3,6,np.nan,44,1])
print(s)
#Series的字符串形式为：索引]]></description><category></category></item><item><title><![CDATA[numpy tips one]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78499227</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78499227</guid><author>u010899135</author><pubDate>Fri, 10 Nov 2017 14:44:14 +0800</pubDate><description><![CDATA[import numpy as np
A = np.arange(3,15)
#array([3,4,5,6,7,8,9,10,11,12,13,14])
print(A[3]) #6

A = np.arange(3,15).reshape((3,4))
print(A[2])
#[11 12 13 14]，打印第3行
print(A[1][1]) #8
print(A[1,1]]></description><category></category></item><item><title><![CDATA[numpy tips]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78494180</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78494180</guid><author>u010899135</author><pubDate>Thu, 09 Nov 2017 21:56:11 +0800</pubDate><description><![CDATA[import numpy as np

array = np.array([[1,2,3],[2,3,4]]) #列表转化为矩阵
print(array)

print('number of dim:',array.ndim) #打印维度

print('shape:',array.shape) #行数和列数

print('size:',array.size) #元素个数
+]]></description><category></category></item><item><title><![CDATA[Some tips about python Seven]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78486983</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78486983</guid><author>u010899135</author><pubDate>Thu, 09 Nov 2017 16:54:41 +0800</pubDate><description><![CDATA[import tkinter as tk

window = tk.Tk()
window.title('my window')
window.geometry('200x200')

l = tk.Label(window,text='',bg='yellow')#定义label
l.pack()#把label包装到窗口上

counter = 0
def do_job():]]></description><category></category></item><item><title><![CDATA[￥￥￥￥ 63大计算机科学顶级会议]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78464363</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78464363</guid><author>u010899135</author><pubDate>Tue, 07 Nov 2017 09:35:25 +0800</pubDate><description><![CDATA[算法（Algorithms and complexity）：STOC, SODA, FOCS


人工智能（Artificial intelligence）：AAAI, IJCAI


计算机体系结构（Computer architectures）：MICRO, ISCA, ASPLOS


密码学（Cryptography）：EUROCRYPT, CRYPTO


数据挖]]></description><category></category></item><item><title><![CDATA[some tips about python Six]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78165474</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78165474</guid><author>u010899135</author><pubDate>Fri, 06 Oct 2017 15:38:31 +0800</pubDate><description><![CDATA[import tkinter as tk #引入模块


window = tk.Tk() #设置window对象
window.title('my window')
window.geometry('200x200')




l = tk.Label(window,bg = 'yellow',width = 22,text = 'empty')#设置Label对象，宽度是2]]></description><category></category></item><item><title><![CDATA[come tips about python Five]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78164941</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78164941</guid><author>u010899135</author><pubDate>Fri, 06 Oct 2017 13:41:18 +0800</pubDate><description><![CDATA[import tkinter as tk  #引入GUI模块


window = tk.Tk()     #创建Tk对象--窗口
window.title('my window') #窗口的名称
window.geometry('200x100')#窗口的大小，注意x


var = tk.StringVar() #定义字符串变量对象


l = tk.Label(wind]]></description><category></category></item><item><title><![CDATA[some tips about python Four]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78156743</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78156743</guid><author>u010899135</author><pubDate>Tue, 03 Oct 2017 22:51:33 +0800</pubDate><description><![CDATA[import pickle
a_dict = {'da':111,2:[23,1,4],'23':{1:2,'d':'sad'}}
file = open('pickle_example.pickle','wb')
pickle.dump(a_dict,file)
file.close()


file = open('pickle_example.pickle','rb')
a_]]></description><category></category></item><item><title><![CDATA[some tips about python Three]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78156238</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78156238</guid><author>u010899135</author><pubDate>Tue, 03 Oct 2017 20:53:37 +0800</pubDate><description><![CDATA[#多核运算 multiprocessing
import multiprocessing as mp
#import threading as td


def job(a,d):
print('aaaaa')


if__name__ == '__main__'
#t1 = td.Thread(target = job, args=(1,2)) #job表示引用，job()表]]></description><category></category></item><item><title><![CDATA[some tips about python Two]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78155274</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78155274</guid><author>u010899135</author><pubDate>Tue, 03 Oct 2017 16:42:44 +0800</pubDate><description><![CDATA[import threading
import time
def thread_job():
print('Task start\n')
for i in range(10):
time.sleep(0.1) #每做一步，休息0.1秒
print('Task finish\n')
def main():
added_thread = threading.Thread(target ]]></description><category></category></item><item><title><![CDATA[some tips about python One]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78153597</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78153597</guid><author>u010899135</author><pubDate>Tue, 03 Oct 2017 09:25:40 +0800</pubDate><description><![CDATA[a = [1,2,3,4,5]  #列表
multi_dim_a = [[1,2,3],
    [4,5,6],
    [7,8,9]]   #多维列表
print(a[1])  #2
print(multi_dim_a[0][1]) #2,第0行第1个元素
print(a[0]) #1
print(multi_dim_a[2][2])#5,第2行第2个元素，从0开始
a_li]]></description><category></category></item><item><title><![CDATA[some tips about python]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78152151</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78152151</guid><author>u010899135</author><pubDate>Mon, 02 Oct 2017 19:33:58 +0800</pubDate><description><![CDATA[python中，**表示指数，ctrl+c终止程序，ctrl+] 和 ctrl+[ 用来调格式，//表示整除。


def sale_car(price, brand, color = 'red', brand = 'carmy', is_second_hand = True):  #非默认参数要放在默认参数的前面，否则运行时会报错
print('...') 


def fun()]]></description><category></category></item><item><title><![CDATA[失踪人口回归系列，好长时间没有更新博客了，今天来记录下python的相关安装过程]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/78150177</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/78150177</guid><author>u010899135</author><pubDate>Mon, 02 Oct 2017 10:51:12 +0800</pubDate><description><![CDATA[python的重要性不必多说了，下面来介绍一下windows和mac系统下相关的安装和配置过程：
windows环境：
(1)首先在python的官网https://www.python.org，下载系统相应的python版本。
        (2）下载完毕后进行安装，在安装的过程中记住勾选 Add Python X.XX In PATH, 然后可以选择默认安装或者自定义安装（设置安装位置]]></description><category></category></item><item><title><![CDATA[Zhejiang University----A+B]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/51090209</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/51090209</guid><author>u010899135</author><pubDate>Thu, 07 Apr 2016 22:39:31 +0800</pubDate><description><![CDATA[//return a-b; 升序
//return b-a; 降序
/*#include
#include
 
int main(void)
{
    char name1[81],name2[81],temp;
    int C[20];
    int i=0,j;
    int conversion(char name[]);
 
    while(scanf]]></description><category></category></item><item><title><![CDATA[Zhejiang University----Graduate Admission]]></title><link>https://blog.youkuaiyun.com/u010899135/article/details/51089928</link><guid>https://blog.youkuaiyun.com/u010899135/article/details/51089928</guid><author>u010899135</author><pubDate>Thu, 07 Apr 2016 22:06:00 +0800</pubDate><description><![CDATA[#include 
#include 
 
//结构体
typedef
struct Application{
    int
GI;//复试成绩
    int
GE;//初试成绩
    int
GF;//总成绩
    int
PS[6];//偏爱的学校
    int
ID;//编号
}Application;
 
typedef
struct Sch]]></description><category></category></item></channel></rss>