Python Set Methods: 21 Must-Solve Questions | Python Sets (Hindi, Beginners)
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Python Set Methods for Python for Beginners (Hindi) — 21 must-solve Python Sets questions covering Set Operations: union, intersection, difference, symmetric difference, in-place updates, and real-life student examples. Perfect for revision and interviews.
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📖 CHAPTERS
00:00 - Introduction to Sets
00:04 - 1. Add single element to a set
00:21 - 2. Add multiple from list → set
00:37 - 3. Merge two lists into one set
00:52 - 4. Remove a specific element
01:07 - 5. Remove element with error handling
01:27 - 6. Pop (remove & return) random item
01:38 - 7. Clear all elements in a set
01:49 - 8. Union of two sets
02:07 - 9. Intersection of two sets
02:21 - 10. Difference between sets
02:36 - 11. Symmetric difference of sets
02:47 - 12. In-place keep only common (intersection_update)
03:27 - 13. In-place remove other's elements (difference_update)
03:48 - 14. In-place either-not-both (symmetric_difference_update)
04:10 - 15. Check if A is subset of B
04:27 - 16. Check if A is superset of B
04:41 - 17. Check if two sets are disjoint
05:01 - 18. Make a shallow copy of a set
05:16 - 19. Count unique words in a sentence
05:49 - 20. Find common words between sentences
06:21 - 21. Check if set ⊆ elements of a list
06:53 - Conclusion
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WHY THIS COURSE (Hindi):
MASTER PYTHON with 500+ questions & 20+ hands-on projects (हिंदी) — high-quality content FREE.
WHAT YOU WILL LEARN
✅ Professional Python coding (Hindi)
✅ Strings, loops, control statements, more
✅ Modules, file handling, multithreading
✅ OOP (Object-Oriented Programming)
✅ Data Structures & Algorithms in Python
✅ Image manipulation
✅ Machine Learning with scikit-learn
✅ Functional programming
✅ Jupyter Notebook & .py workflow
✅ Process Images, CSVs, PDFs, more
THIS COURSE INCLUDES
✅ 30+ hours content • 500+ coding questions • 20+ projects • 200+ quizzes • DA & ML projects
COURSE CONTENT
1) Setup
2) Intro
3) Basics
4) Control Statements
5) Functions
6) Strings
7) Arrays
8) Lists
9) Tuples
10) Sets
11) Dictionaries
12) Modules
13) File Handling
14) OOP
15) Errors & Exceptions
16) Multithreading
17) Image Manipulation
18) Data Structures
19) Algorithms
20) ML & Data Analysis
REQUIREMENTS
Computer with internet
Willingness to learn
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