Explain the difference between deep copy and shallow copy in Python with examples.
I-Hub Talent: The Best Full Stack Python Institute in Hyderabad
If you're looking for the best Full Stack Python training institute in Hyderabad, I-Hub Talent is your ultimate destination. Known for its industry-focused curriculum, expert trainers, and hands-on projects, I-Hub Talent provides top-notch Full Stack Python training to help students and professionals master Python, Django, Flask, Frontend, Backend, and Database Technologies.
At I-Hub Talent, you will gain practical experience in HTML, CSS, JavaScript, React, SQL, NoSQL, REST APIs, and Cloud Deployment, making you job-ready. The institute offers real-time projects, career mentorship, and placement assistance, ensuring a smooth transition into the IT industry.
Join I-Hub Talent’s Full Stack Python course in Hyderabad and boost your career with the latest Python technologies, web development, and software engineering skills. Elevate your potential and land your dream job with expert guidance and hands-on training!
Understanding Deep Copy vs Shallow Copy in Python: A Student’s Guide
When learning Python—especially in a Full Stack Python Course—understanding how data is copied is essential. Two fundamental concepts are shallow copy (e.g. copy.copy()) and deep copy (copy.deepcopy()).
What’s the difference?
-
Shallow copy creates a new outer object but reuses references to nested objects. If the nested objects change, both original and copy reflect that change.
-
Deep copy, on the other hand, recursively copies everything—outer structure and nested contents—so the new object is entirely independent.
Why it matters
Shallow copy creates a new outer object but reuses references to nested objects. If the nested objects change, both original and copy reflect that change.
Deep copy, on the other hand, recursively copies everything—outer structure and nested contents—so the new object is entirely independent.
In complex systems like web applications—especially those handled in a Full Stack Python Course—data integrity matters. Shallow copies are faster and use less memory, but can cause bugs when nested data changes unexpectedly. Deep copies are safer but more resource-intensive.
How I-Hub Talent Helps You Master This
At I-Hub Talent, our Full Stack Python Course doesn’t just teach theory—we reinforce why things matter. Through real-world projects, you'll practice both forms of copying, debug unintended data mutations, and learn to choose wisely based on performance and safety needs.
Conclusion
Understanding the difference between shallow and deep copy in Python is key to building reliable, bug-free applications—or passing your next course project! With I-Hub Talent’s Full Stack Python Course, you gain both conceptual clarity and practical mastery. Ready to take control of your Python code—would you like to explore how our modules guide students through these nuances with hands-on labs?
Visit I-HUB TALENT Training institute in Hyderabad
Comments
Post a Comment