Python常用启动代码合集

Python常用启动合集       

#一般都是在终端输入

目录

"环境相关"

"切换工作目录"

"启动Jupyter"

"Jupyter或Google colab中输入终端语言"

"启动tensorboard"

"PyCharm中配置写入tensorboard"

"终端中输入python语言"

---

"环境相关"

"环境相关"
conda create --prefix E:\Environment\PythonEnvironment\Envs\python3.10.6Test python=3.10.6#创建环境
conda create --prefix E:\Environment\PythonEnvironment\Envs\python3.12Test python=3.12.0#创建环境
conda env list#显示安装好的环境
conda activate E:\Environment\PythonEnvironment\Envs\python3.10.6Test#切换环境
conda deactivate#退出环境
conda env -p E:\Environment\PythonEnvironment\Envs\python3.10.6Test#删除环境

"切换工作目录"

"切换工作目录"
cd /d E:# 终端输入，切换到E盘

"启动Jupyter"

"启动Jupyter"
jupyter notebook# 终端输入，启动jupytery #可以直接在PyCharm的终端输入

"Jupyter或Google colab中输入终端语言"

"Jupyter或Google colab中输入终端语言"
#python语言---------->终端语言
#在python语言前加个感叹号即可
!nvidia-smi#显示GPU信息 #在Google colab或者Jupyter用比较方便

"启动tensorboard"

"启动tensorboard"
tensorboard --logdir=logs#终端输入，启动tensorboard ，logdir=事件文件所在文件夹名
tensorboard --logdir=logs --port=6007#终端输入，启动tensorboard ，logdir=事件文件所在文件夹名，port=端口名

"PyCharm中配置写入tensorboard"

"PyCharm中配置写入tensorboard"
writer = SummaryWriter("logs")#配置tensorboard，创建并开始写入，配置后是不断写入的
writer.add_image("Torensor", img_tensor, 0)#在tensorboard写入结果 #add_image的输入只能是这些数据类型 (torch.Tensor, numpy.ndarray, or string/blobname): Image data。所以在这里都转换为tensor数据类型。
writer.close()#关闭写入

"终端中输入python语言"

"终端中输入python语言"
#终端语言---------->python语言
python#终端输入，进入python语言编辑模式
quit()#终端输入，退出python语言编辑模式