Скачать или смотреть [List Mega Set Part - 3/5] 14 Must-Solve Python List Questions with Detailed Solutions in Hindi

⬇️ DOWNLOAD MEGA SET - 4:
https://drive.google.com/file/d/1SUzn...

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

📖 CHAPTERS
00:00 - Introduction
00:04 - 1. Numerical difference between two lists.
00:26 - 2. Sort matrix in descending order.
00:58 - 3. Filter strings by length.
01:27 - 4. Difference between adjacent numbers.
02:13 - 5. Count floats in mixed list.
03:37 - 6. Common elements in 3 arrays.
04:10 - 7. Check circularly identical lists.
05:02 - 8. Remove duplicates from list of lists.
06:14 - 9. Run-length encoding from list
06:51 - 10. Extract non-unique elements.
07:53 - 11. Get values from list of dicts.
08:13 - 12. Convert list of ints to single int.
09:02 - 13. Count elements in exactly two lists.
10:00 - 14. Frequency count using dictionary.
10:26 - Conclusion
11:18 - Upcoming Video...

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💬 GITHUB DISCUSSION: https://github.com/Amar-cmd/Comprehen... ✅
🎭 DISCORD:   / discord   ✅
📧 EMAIL: [email protected] ✅

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WHY CHOOSE THIS COURSE?
MASTER PYTHON by practicing 500+ questions and 20+ hands-on projects in HINDI.
This is a HIGH-QUALITY course for made available for FREE.
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WHAT YOU WILL LEARN:
✅ Learn to code in python professionally
✅ Learn basic topics like strings, loops, control statements and more
✅ Learn advanced topics like modules, file handling, multi-threading and more
✅ Learn Object Oriented Programming (OOP)
✅ Learn Data Structures and Algorithms in Python Language (DSA)
✅ Learn Image Manipulation
✅ Learn Machine Learning - Scikit Learn
✅ Build Machine Learning Models
✅ Learn Functional Programming
✅ Learn to use Jupyter Notebook and use .py files
✅ Use python to process files: Image, CSVs, PDFs and more
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THIS COURSE INCLUDES:
✅ 30+ Hours of content
✅ 500+ coding questions
✅ 20+ Hands-on Projects
✅ 200+ quizzes
✅ Data Analysis and Machine Learning Projects
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🌟COURSE CONTENT:
1. Python Setup
2. Python Introduction
3. Python Basics
4. Python Control Statements
5. Python Functions
6. Python Strings
7. Python Arrays
8. Python Lists
9. Python Tuples
10. Python Sets
11. Python Dictionaries
12. Python Modules
13. Python File Handling
14. OOP
15. Python Error and Exception
16. Python Multithreading
17. Python Image Manipulation
18. Python Data Structures
19. Python Algorithms
20. Python For ML and Data Analysis
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🌟 REQUIREMENTS:
Access to computer with active internet connection
Willingness to learn
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