⬇️ DOWNLOAD PRACTICE SET - 1
https://drive.google.com/file/d/1ixd0...
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Errors are part of coding—but learning to read, understand, and handle Python errors is what makes you a strong developer.
In this lesson, you’ll learn the most common Python built-in errors/exceptions and how to manage them using error handling (try/except). You’ll also learn how to stop invalid programs safely using raise, and how to catch bugs early during development with assert.
✅ What you’ll learn in this video:
How to read Python errors (traceback)
SyntaxError and IndentationError
NameError, TypeError, ValueError
AttributeError
IndexError, KeyError
ZeroDivisionError
FileNotFoundError
ImportError / ModuleNotFoundError
AssertionError
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Timeline
00:00 - Introduction
00:29 - How to read an error?
01:02 - Syntax Error
01:39 - Indentation Error
01:59 - Name Error
02:26 - Type Error
03:22 - Value Error
04:12 - Attribute Error
05:02 - Index Error
05:56 - Key Error
06:33 - Zero Division Error
06:59 - File Not Found Error
07:52 - Import Error / Module Not Found Error
08:42 - Assertion Error
09:32 - Recap
09:55 - Conclusion
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📕PDF: https://github.com/Amar-cmd/Comprehen... ✅
🧑💻 CODE: https://github.com/Amar-cmd/Comprehen... ✅
🚀GITHUB: https://github.com/Amar-cmd/Comprehen... ✅
💬 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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