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  1. Feb 22, 2016 · ipython --TerminalIPythonApp.file_to_run=<notebook>.ipynb Normally, I would prefer this option as it is really self-describing. If you prefer to use less characters, use: ipython -c "%run <notebook>.ipynb" which is basically what Keto already suggested (unfortunately a little bit hidden) as a comment.

  2. Any command that works at the command-line can be used in IPython by prefixing it with the ! character. For example, the ls , pwd , and echo commands can be run as follows: In [ 1 ]: ! ls myproject . txt In [ 2 ]: ! pwd / home / jake / projects / myproject In [ 3 ]: ! echo "printing from the shell" printing from the shell

  3. Any command that works at the command-line can be used in IPython by prefixing it with the ! character. For example, the ls , pwd , and echo commands can be run as follows: In [ 1 ]: ! ls myproject . txt In [ 2 ]: ! pwd / home / jake / projects / myproject In [ 3 ]: ! echo "printing from the shell" printing from the shell

  4. Sep 25, 2023 · A Jupyter notebook is neither a simple text editor nor a full-featured IDE, rather it is an electronic file which contains both programming code and text descriptions. It can also contain embedded charts, plots, images, videos, and links. They run in a web browser like Firefox or Google Chrome. They can contain code of various programming languages

  5. Any standard shell command can be used directly in IPython by prefixing it with the ! character. For example, the ls, pwd, and echo commands can be run as follows: In [1]: !ls myproject.txt In [2]: !pwd /home/jake/projects/myproject In [3]: !echo "printing from the shell" printing from the shell [ ]

  6. They both technically do the same thing: interpret your text code into commands that get executed by your computer. You can write code that wipes out your file system via ipython or the system shell. The difference is that ipython interprets Python code. Your system shell interprets…whatever is specific to your operating system.

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  8. Instead of copying and pasting the file’s contents into a cell, we could use the %run magic command to open the Python file and run its code directly in Jupyter Notebook. In [1] %run multiply.py IPython executes the file and imports the Python program’s names (variables, functions, classes, etc.) into the Notebook.

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