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              首先在Github里创建一个repo，创建时按照默认设置即可。创建完成后会获得一个连接：https://github.com/xxx/xxxx.git
初次上传在本地的git项目中执行git remote add origin https://github.com/xxx/xxxx.gitgit p
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            <p>
              import osprint("will run")# open 2 fdsnull_fds = [os.open(os.devnull, os.O_RDWR) for x in range(2)]# save the current file descriptors to a tuplesave 
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            <p>
              本文以Ubuntu中的sqlite为例
安装sqlitesudo apt-get install sqlite
创建数据库sqlite3 testDB.db
创建表sqlite&gt; CREATE TABLE COMPANY(   ID INT PRIMARY KEY     NOT NULL, 
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              在使用Mac时，如果同时连接了有线网和无线网，那么系统会根据设置好的优先级，使用优先级更高的网络。优先级可以在网络设置中更改。有时内网无法访问外网，而我们又需要使用内网资源。这时可以同时用两块网卡分别连接内网和外网，并将外网所用的网卡设置成更高的优先级。
而后只需要修改路由规则。在命令行运行nets
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              修改单元格Application.Workbooks(1).Worksheets(1).Cells(1,1) = 100
每次修改数据后不要更新显示，可提高运行速度Application.ScreenUpdating = FalseApplication.ScreenUpdating = True

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            <p>
              在使用latex的时候，我们常常会把文档交给很多人帮忙修改，我选择用git来管理不同的版本。但是用git diff来查看tex文件的修改是一件非常令人头疼的事情，因为它会将一整行都标记出来。这个时候就需要用到latexdiff，latexdiff能够将两个文件进行比较，然后得到一个新的可编译的tex
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              最近跑了很多的视频分类的实验，实验日志我记录在google sheet中，每个实验在本地都保存有对应的log和混淆矩阵。在运行实验的时候，我为了便于观察混淆矩阵，将它保存成了png格式的图像，现在为了计算一个新的指标，我需要用到混淆矩阵中的数据。最直接的办法就是手动输入，由于数据量较大，而且小数点后
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              Pytorch与Tensorflow在程序运行时的一个不同点是：tensorflow会在程序刚开始运行时就自动占掉所有可用显存；而pytorch会根据当前情况实时调整显存占用。在多人共用GPU训练神经网络的时候，往往会出现这样的情况：pytorch程序运行若干个epoch之后报错out of mem
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