" in Jupyter Notebook save". When appending to an existing file, specify "a" in the mode parameter of the open() function, such as: with open("my_code.py", "a") as file: file.write("...""/> " in Jupyter Notebook save". When appending to an existing file, specify "a" in the mode parameter of the open() function, such as: with open("my_code.py", "a") as file: file.write("..."">
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HomeBackend DevelopmentPython TutorialHow to save written python

How to save written python

May 05, 2024 pm 07:51 PM
python

Python code saving method: Save the code to a file with a .py extension, such as my_code.py. Use the open() function in the interactive Python Shell, such as: with open("my_code.py", "w") as file: file.write("...") Select "File" > in Jupyter Notebook "save". When appending to an existing file, specify "a" in the mode parameter of the open() function, such as: with open("my_code.py", "a") as file: file.write("..."

How to save written python

How to save code in Python

Save code file

Most The easy way is to save the code to a file with the file extension .py For example:

<code>my_code.py</code>

Save with the following code:

with open("my_code.py", "w") as file:
    file.write("...")

Use. Interactive Python Shell

In the interactive Python shell, you can use the open() function to save code to a file. For example:

>>> with open("my_code.py", "w") as file:
        file.write("...")

Using Jupyter Notebook

Jupyter Notebook provides an interactive environment for writing and running code. Code can be saved by following these steps:

  1. In the menu bar. Select File -> Save.
  2. Select a name and location for the notebook

##Save to an existing file

If you want to append the code to an existing file, you can specify "a" in the

mode parameter of the open() function:

with open("my_code.py", "a") as file:
    file.write("...")

Save as binary file

To save the code as a binary file (such as .pyc), you can use the

compile() function:

import compileall

compileall.compile_file("my_code.py")

Save the binary file The advantage is that it loads faster, but requires recompilation when updating the code

.

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