Python id() Function
Returns a unique id of an object
id() function returns a unique id for the specified object.
|object||Required||Any object (such as number, string, list, class etc.)|
What is ID of an Object?
In Python, every object has its own unique id. Every time you create an object, a unique id is assigned to it.
The id is nothing but the address of the object in memory. So, it will be different for each time you run the program.
id() function to get a unique id of the object.
x = id('Hello!') print(x) # Prints 34936992 x = id(9999) print(x) # Prints 33739544 L = ['red', 'green', 'blue'] x = id(L) print(x) # Prints 33866256 class myfunc: pass o = myfunc() print(id(o)) # Prints 33666912
Compare Two IDs
To check if two objects have same id, use
# Check if 'x' and 'y' have the same id (point to the same object) x = 42 y = x print(x is y) # Prints True
is keyword is used for identity (id) comparison, while
== operator is used for equality (value) comparison.
In Python, every object has its own unique id. However, for the sake of optimization there are some exceptions.
Some objects have same id (actually one object with multiple pointer), like
- Small integers between
- Small interned strings (usually less than 20 character)
print(30 is 20+10) # Prints True print('aa'*2 is 'a'*4) # Prints True
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
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