4 ways to copy a list in Python
In Python, there are several ways to make a copy of a list. But it is important to understand the difference between a shallow copy and a deep copy.
Now let's check the difference between shallow and deep copy:
In Python, there are several ways to make a copy of a list. But it is important to understand the difference between a shallow copy and a deep copy.
original = [1, 2, [3, 4]]
# 1. Slice (shallow copy)
copy1 = original[:]
# 2. .copy() method (shallow copy)
copy2 = original.copy()
# 3. Using list() (shallow copy)
copy3 = list(original)
# 4. deepcopy (deep copy)
import copy
copy4 = copy.deepcopy(original)
Now let's check the difference between shallow and deep copy:
original[2].append(5)
print(copy1)
# [1, 2, [3, 4, 5]] — nested list changed!
print(copy4)
# [1, 2, [3, 4]] — unchanged
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📂 Python Fundamentals
∟📂 Learn Syntax, Variables & Data Types
∟📂 Master Control Flow & Functions
∟📂 Practice with Simple Projects
📂 Intermediate Concepts
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📂 Web Development with Python
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📂 Python Fundamentals
∟📂 Learn Syntax, Variables & Data Types
∟📂 Master Control Flow & Functions
∟📂 Practice with Simple Projects
📂 Intermediate Concepts
∟📂 Object-Oriented Programming (OOP)
∟📂 Work with Modules & Packages
∟📂 Understand Exception Handling & File I/O
📂 Data Structures & Algorithms
∟📂 Lists, Tuples, Dictionaries & Sets
∟📂 Algorithms & Problem Solving
∟📂 Master Recursion & Iteration
📂 Python Libraries & Tools
∟📂 Get Comfortable with Pip & Virtual Environments
∟📂 Learn NumPy & Pandas for Data Handling
∟📂 Explore Matplotlib & Seaborn for Visualization
📂 Web Development with Python
∟📂 Understand Flask & Django Frameworks
∟📂 Build RESTful APIs
∟📂 Integrate Front-End & Back-End
📂 Advanced Topics
∟📂 Concurrency: Threads & Asyncio
∟📂 Learn Testing with PyTest
∟📂 Dive into Design Patterns
📂 Projects & Real-World Applications
∟📂 Build Command-Line Tools & Scripts
∟📂 Contribute to Open-Source
∟📂 Showcase on GitHub & Portfolio
📂 Interview Preparation & Job Hunting
∟📂 Solve Python Coding Challenges
∟📂 Master Data Structures & Algorithms Interviews
∟📂 Network & Apply for Python Roles
✅️ Happy Coding
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