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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>
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>
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>
With these mechanisms, you can swiftly inspect the defined variables, monitor their values, and prevent conflicts.
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