Code introspection refers to the ability to examine and analyze code during program execution. In Python, it provides mechanisms to retrieve information about objects, modules, functions, and classes dynamically, allowing for advanced debugging, documentation generation, and code manipulation.
#Code Introspection
help()
dir()
hasattr()
id()
type()
repr()
callable()
issubclass()
isinstance()
__doc__
__name__
Code introspection provides several benefits, such as debugging complex code, generating documentation automatically, and building interactive development environments. It enables dynamic exploration and manipulation of code, fostering greater productivity and code understanding.
Basic String Operations Exercise Solution
#Code Completed
# Define the Vehicle class
class Vehicle:
name = ""
kind = "car"
color = ""
value = 100.00
def description(self):
desc_str = "%s is a %s %s worth $%.2f." % (self.name, self.color, self.kind, self.value)
return desc_str
# Print a list of all attributes of the Vehicle class.
print(dir(Vehicle))
Python’s introspection capabilities can be extended further by leveraging decorators, metaclasses, and custom inspection techniques. These advanced techniques allow for more fine-grained control and customization of code analysis.