Python Built-in Methods – Python List copy() Method

Python List copy() Method

Copies the list shallowly

Usage

The copy() method returns the Shallow copy of the specified list.

Syntax

list.copy()

Basic Example

# Create a copy of list 'L'
L = ['red', 'green', 'blue']
X = L.copy()
print(X)
# Prints ['red', 'green', 'blue']

copy() vs Assignment statement

Assignment statement does not copy objects. For example,

old_List = ['red', 'green', 'blue']
new_List = old_List
new_List[0] = 'xx'
print(old_List)
# Prints ['xx', 'green', 'blue']
print(new_List)
# Prints ['xx', 'green', 'blue']

When you execute new_List = old_List, you don’t actually have two lists. The assignment just makes the two variables point to the one list in memory.

copy method vs assignment statement

So, when you change new_List, old_List is also modified. If you want to change one copy without changing the other, use copy()method.

old_List = ['red', 'green', 'blue']
new_List = old_List.copy()
new_List[0] = 'xx'
print(old_List)
# Prints ['red', 'green', 'blue']
print(new_List)
# Prints ['xx', 'green', 'blue']

Equivalent Method

Assigning a slice of the entire list to a variable is equivalent to copy() method.

L = ['red', 'green', 'blue']
X = L[:]
print(X)
# Prints ['red', 'green', 'blue']

 

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.

 

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