Viewing all defined variables

What science does to my variables?

Understand your variables types:

for name in vars():
    if not name.startswith('_'):
        print(f"{name}: {type(eval(name))}")  # Bingo! Here is your variable type
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Here, type() is used with eval() to determine the type of each variable. However, remember with great eval() comes great responsibility.

Handy tips for those exploring variables

Temporary Variable storage

Need variables for longer than your script's lifetime, like that pack of pasta in your pantry? Use pickle with IPython's %store:

import pickle

# Save 'data' to a file:
with open('data.pickle', 'wb') as f:
    pickle.dump(data, f)  # Shazam! Your variable is now a pickle. 

# Load 'data' from the file later like opening a jar of pickles:
with open('data.pickle', 'rb') as f:
    data = pickle.load(f)  
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State introspection in computational tasks

Working with IPython and Jupyter Notebooks, you know state introspection is gold. %store provides this capability. Add external libraries to level up your state management game like adding a secret sauce to your burger.

Advanced object inspection

Want to know more about your object, like wanting to know what's hidden in your friend's basement? Here you go:

class MyClass:
    def __init__(self):
        self.x = 10
        self.y = 20

obj = MyClass()
pprint(vars(obj))  # This is your x-ray vision for variables
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Pass an object to vars() and it tells you what it's made of.

Magic commands in Jupyter Notebooks

Enjoying magic like Harry Potter? Jupyter Notebooks got you covered! Magic commands like %who and %whos allow variable introspection. Remember, getting lost is not an option—check the IPython Documentation.

Fast, faster, fastest

Filtering out noise

Got too much on your plate? Focus on non-dunder (not starting and ending with __) variables:

{key: value for key, value in globals().items() if not (key.startswith('__') and key.endswith('__'))}  # Who needs underscores, anyway? 
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Tasting the variable values

Curious about what your variables hold? Try vars().values(), but prepare for the potential output avalanche!

for value in vars().values():
    print(value)  # Hold tight! Here come the values like passion fruit rain
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Peeking into modules

Want to know everything about a module or class? dir() and vars() are your searchlights.

import math
pprint(dir(math))  # math: what's your secret?
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