Home Backend Development Python Tutorial Here are a few question-based titles that work well with the article: * **How can I view defined variables in the Python shell?** * **What functions are available for inspecting variables in Python?*

Here are a few question-based titles that work well with the article: * **How can I view defined variables in the Python shell?** * **What functions are available for inspecting variables in Python?*

Oct 27, 2024 am 02:19 AM

Here are a few question-based titles that work well with the article:

* **How can I view defined variables in the Python shell?**
* **What functions are available for inspecting variables in Python?**
* **How do I list all global and local variables in P

Viewing Defined Variables in Python Shell

When performing complex computations, it becomes imperative to keep track of the variables defined during the process. To achieve this in Python, there are multiple approaches inspired by MATLAB's stylish listout.

dir() for In-scope Variables

The dir() function provides a list of all variables that are currently in scope. This includes both local and global variables.

<code class="python">>>> x = 10
>>> y = 20
>>> dir()
['__annotations__', '__builtins__', '__doc__', '__file__', '__name__', '__package__', 'x', 'y']</code>
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globals() for Global Variables

The globals() function returns a dictionary containing all global variables. Accessing the values requires indexing.

<code class="python">>>> z = 30
>>> globals()['z']
30</code>
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locals() for Local Variables

Similar to globals(), locals() returns a dictionary of local variables within the current scope.

<code class="python">def example_function():
    inside_x = 100
    return locals()

>>> example_function()
{'inside_x': 100}</code>
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With these mechanisms, you can swiftly inspect the defined variables, monitor their values, and prevent conflicts.

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