![]() execution_methods.py), or use the %run magic in IPython or Jupyter Notebooks. You will find identical output if you include a shebang line in your script and execute it directly (. You can read more about defining strings in Basic Data Types in Python. Remember that, in Python, there is no difference between strings defined with single quotes ( ') and double quotes ( "). In this example, you can see that _name_ has the value '_main_', where the quote symbols ( ') tell you that the value has the string type. The variable _name_ tells me which context this file is running in. This is my file to test Python's execution methods. The details of how you can execute Python from your command line are not that important for the purpose of this article, but you can expand the box below to read more about the differences between the command line on Windows, Linux, and macOS. When you execute a script, you will not be able to interactively define the code that the Python interpreter is executing. In this approach, you want to execute your Python script from the command line. ![]() This distinction is also discussed in How to Run Your Python Scripts. You can read more about modules in Python Modules and Packages – An Introduction. Module: A Python module is a file that you intend to import from within another module or a script, or from the interactive interpreter. Script: A Python script is a file that you intend to execute from the command line to accomplish a task. However, there are slight differences in meaning that emphasize the purpose of a piece of code:įile: Typically, a Python file is any file that contains code. Practically, there isn’t much difference between them. You’ll see the words file, module, and script used throughout this article. ![]() You can read more about repr() in the Python documentation. This example uses repr() to emphasize that the value of _name_ is a string. In Python, repr() displays the printable representation of an object. The third print() will first print the phrase The value of _name_ is, and then it will print the representation of the _name_ variable using Python’s built-in repr(). The first two print some introductory phrases. In this file, there are three calls to print() defined. Print ( "This is my file to test Python's execution methods." ) print ( "The variable _name_ tells me which context this file is running in." ) print ( "The value of _name_ is:", repr ( _name_ ))
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