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How do I load a file into the python console?

python
prompt-engineering
best-practices
functions
Anton ShumikhinbyAnton Shumikhin·Feb 12, 2025
TLDR

Quick and easy - read a file's content into the Python console with:

print(open('example.txt').read()) # Who needs a fancy code editor anyway?

Make sure example.txt is in the current working directory.

Running Python file from the Shell

Start an interactive Python shell session right after a script execution with:

python -i your_script.py # Say hello to yr script in the shell

This allows you to access all global variables and functions defined in your script.

Importing everything from Python file

Load all classes, functions, and variables from your script into the Python console:

from your_script import * # We're loving the '*' today

Hold up! Be mindful of any potential clashes with variables or functions already existing in your console.

Execute Python script in Python console

Use exec() command for executing your Python file as if you wrote it inside the console:

exec(open('your_script.py').read()) # Just make sure your_script doesn't start Skynet

In Python2, you can use execfile('your_script.py'). But remember, Python3 has left that in the past.

Running a Python file as a module

How about running your your_script.py as a module? Here's how:

import your_script # Guess who's a module now!

Note:

This method isolates your script's namespace, different from using from your_script import *.

Interactive debugging session

Want to interactively debug your script once it finishes execution? Use -i flag along with Python debugger pdb:

python -m pdb -i your_script.py # Become the Sherlock Holmes of code debugging

Be mindful of potential hiccups

  1. Verify the correctness of your file name and path.
  2. With from your_script import *, beware of overwriting existing names.
  3. exec() and execfile() execute all file contents in the current namespace. Be cautious about side effects.
  4. After file operations, always close your file to free up resources.

Python file execution best practices

  • Modularity: Make your file reusable with functions and classes.
  • Error Handling: Use try-except blocks to handle errors during file execution.
  • Resource Management: Use with statement for automatic resource release after file operations.
  • Separation of Duties: When using -i flag, keep code execution and state management separate.