Скачать или смотреть Python Dictionary in Hindi: 17 Must-Solve Questions (Loops • Copy • Nested) | Python for Beginners

Python Dictionary in Hindi for absolute beginners—solve 17 must-do questions covering dictionary creation, adding/removing items, updating values, looping, nested dictionaries, and shallow vs deep copy. Real-life student examples + downloadable practice & solution PDFs. Perfect for revision and interview prep.

⬇️ DOWNLOAD PRACTICE SET:
https://drive.google.com/file/d/17ZZ5...

⬇️ DOWNLOAD SOLUTION SET:
https://drive.google.com/file/d/1nX7y...

📖 CHAPTERS
00:00 - Introduction to Sets
00:10 - 1. Create grocery_prices dictionary, three items
00:48 - 2. Loop, print each item price
01:21 - 3. Print items priced above fifty
01:49 - 4. Analyze scores; pass/fail with 33
02:53 - 5. Enumerate and display personal info
03:16 - 6. Grade statuses from student scores
03:55 - 7. Create a products nested dictionary
04:57 - 8. Get product brand by ID
05:39 - 9. Update price and add in_stock
06:43 - 10. Add product via user input
07:39 - 11. Delete price key and product
08:25 - 12. Pretty-print all nested product details
09:13 - 13. Safely get price using get
10:08 - 14. Show direct assignment shares dictionary
11:15 - 15. Shallow copy affects nested data
12:02 - 16. Deep copy prevents shared mutation
12:44 - 17. Compare shallow versus deep settings
14:00 - Conclusion
14:14 - Next Video
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🚀GITHUB: https://github.com/Amar-cmd/Comprehen... ✅
💬 GITHUB DISCUSSION: https://github.com/Amar-cmd/Comprehen... ✅
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WHY THIS COURSE (Hindi):
MASTER PYTHON with 500+ questions & 20+ hands-on projects (हिंदी)
High-quality content available 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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