#coding = utf8
import threading,time,random count = 0
class MyThread (threading.Thread): def __init__(self,lock,threadName):
super(MyThread,self).__init__(name = threadName)
self.lock = lock def run(self):
global count
self.lock.acquire()
for i in range(100):
count = count + 1
time.sleep(0.3)
print(self.getName() , count)
self.lock.release() lock = threading.Lock()
for i in range(2):
MyThread (lock,"MyThreadName:" + str(i)).start()

吴裕雄 python深度学习与实践(2)的更多相关文章

  1. 吴裕雄 python深度学习与实践(18)

    # coding: utf-8 import time import numpy as np import tensorflow as tf import _pickle as pickle impo ...

  2. 吴裕雄 python深度学习与实践(17)

    import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data import time # 声明输 ...

  3. 吴裕雄 python深度学习与实践(16)

    import struct import numpy as np import matplotlib.pyplot as plt dateMat = np.ones((7,7)) kernel = n ...

  4. 吴裕雄 python深度学习与实践(15)

    import tensorflow as tf import tensorflow.examples.tutorials.mnist.input_data as input_data mnist = ...

  5. 吴裕雄 python深度学习与实践(14)

    import numpy as np import tensorflow as tf import matplotlib.pyplot as plt threshold = 1.0e-2 x1_dat ...

  6. 吴裕雄 python深度学习与实践(13)

    import numpy as np import matplotlib.pyplot as plt x_data = np.random.randn(10) print(x_data) y_data ...

  7. 吴裕雄 python深度学习与实践(12)

    import tensorflow as tf q = tf.FIFOQueue(,"float32") counter = tf.Variable(0.0) add_op = t ...

  8. 吴裕雄 python深度学习与实践(11)

    import numpy as np from matplotlib import pyplot as plt A = np.array([[5],[4]]) C = np.array([[4],[6 ...

  9. 吴裕雄 python深度学习与实践(10)

    import tensorflow as tf input1 = tf.constant(1) print(input1) input2 = tf.Variable(2,tf.int32) print ...

  10. 吴裕雄 python深度学习与实践(9)

    import numpy as np import tensorflow as tf inputX = np.random.rand(100) inputY = np.multiply(3,input ...

随机推荐

  1. matlab 画图参考小程序

    x=0.1:0.1:0.9; a=[41.37,44.34,44.34,44.66,44.66,44.66,98.85,98.85,98.85];%xxxxxx b=[22.10,22.39,22.3 ...

  2. Structrued Streaming业务数据实时分析

    先启动spark-shell,记得启动nc服务 输入以下代码 scala> import org.apache.spark.sql.functions._ import org.apache.s ...

  3. echarts学习之——电力迁徙图

    今天主要就是在搞echarts,我们都知道他为我们提供了丰富的api方法,使我们能够迅速的搭建图标.同时他里面还有许多的案例, 其中就有这么一个国内航线模拟迁徙的地图,如下所示: 而我们通常因为各种需 ...

  4. 学习js第三天小结

    1.冒泡排序分析: 例:将数组[9,8,7,6,5,4,3,2,1,0]按照从小打大的顺序进行冒泡排序. 演变过程: 第一趟: 8,7,6,5,4,3,2,1,0,9    比较了9次: 第二趟: 7 ...

  5. mint-ui 输入框按下按键执行查询

    环境:vue.mint-ui 功能:一个输入框,按下按键之后就执行某个功能. 截图:一个输入框 输入框html: <mt-search v-model="query" can ...

  6. nvm+nodejs+npm

    安装nvm 1.下载nvm包,地址:https://github.com/coreybutler/nvm-windows/releases选择nvm-setup.zip下载, 解压,双击安装即可 2. ...

  7. WPF datagrid 设置表头线与颜色、透明度

    <!--数据网格的列标题样式属性--> <DataGrid.ColumnHeaderStyle> <!--样式类型:DataGridColumnHeader(数据网格列标 ...

  8. iOS保存gif动态图

    - (void)saveImageToPhotos:(NSData*)gifData { /***注意先倒入库 #import <AssetsLibrary/AssetsLibrary.h> ...

  9. python 插入html到数据库 re.escape() PyMysql

    python 把html 网页源码插入到mysql 成功,部分汉字乱码是 mysql编码问题

  10. web.xml配置重理解

    <context-param> <param-name>home-page</param-name> <param-value>home.jsp< ...