📜  jupyter notebook - Shell-Bash (1)

📅  最后修改于: 2023-12-03 14:43:37.216000             🧑  作者: Mango

Jupyter Notebook - Shell/Bash

Jupyter Notebook is a web-based interactive computing environment where you can create and share Jupyter notebooks with code, text, and images. In addition to Python, Jupyter Notebook also supports other languages such as R, Julia, and Shell/Bash. This allows programmers to use Jupyter Notebook as a complete tool for data analysis, visualization, and programming.

What is Shell/Bash?

Shell/Bash is a command-line interpreter that provides an interface for users to interact with the operating system. Shell/Bash is the default command-line interface for most Unix-based systems such as Linux and macOS. The Shell/Bash language provides a set of commands and syntax that users can use to execute scripts and perform operations on files and directories.

Why use Shell/Bash in Jupyter Notebook?

Using Shell/Bash in Jupyter Notebook allows programmers to execute shell commands and scripts seamlessly with their Python code. This provides a convenient way to automate tasks, manipulate files and directories, and run system commands without leaving the Jupyter Notebook environment.

How to use Shell/Bash in Jupyter Notebook?

To use Shell/Bash in Jupyter Notebook, you need to create a new notebook and choose Shell/Bash as the kernel. Once you have created the notebook, you can start running Shell/Bash commands by using the ! symbol before the command.

For example, to list all files in the current directory, you can use the ls command as follows:

!ls

You can also use variables in your Shell/Bash commands by referencing them with the $ symbol. For example, to create a new directory with the name of a variable, you can use the mkdir command as follows:

directory_name="new_directory"
!mkdir $directory_name
Conclusion

Jupyter Notebook provides a convenient way to use Shell/Bash commands and scripts in the same environment as your Python code. This allows programmers to automate tasks, manipulate files and directories, and run system commands seamlessly with their Python programs.