Python for Beginners - Lesson 18: Debugging (From Bug Hunter to Code Master)

Описание: Every developer encounters bugs, but what separates a novice from a professional is how they handle them. In Lesson 18 of our Python for Beginners course, we transform you from a reactive "Bug Hunter" into a proactive "Code Master."

This lesson is your complete guide to professional debugging. We'll start by categorizing the three types of errors: Syntax, Runtime, and Logic. You'll learn to read and interpret Python's tracebacks, turning cryptic error messages into clear roadmaps to the problem. We'll cover essential debugging techniques, from strategic `print()` statements to the power of the Python Debugger (`pdb`) for step-by-step code execution. Through a real-world case study, "The Silent Failure," you'll learn to diagnose and fix tricky logical errors that don't crash your program. Finally, we'll introduce the ultimate debugging tool: prevention. You'll learn how writing clean, readable code with PEP 8 is the best way to stop bugs before they even start.


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✅ *Interactive Coding Exercises:* Step through the "Silent Failure" case study with the debugger and fix the logical error yourself.
✅ *Downloadable Slide Decks:* Get all 15 pages of the beautiful slides, including the Bug Hunter vs. Code Master transformation diagram and the complete debugging toolkit.
✅ *Quizzes & Assessments:* Test your understanding of error types, tracebacks, `pdb` commands, and PEP 8 principles.
✅ *24/7 AI Tutor:* Stuck on a traceback? Our AI Tutor is here to help you interpret any error message.
✅ *Certificate of Completion:* Add professional debugging skills to your resume!

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🕒 *Timestamps:*

00:00 - From Bug Hunter to Code Master: A Guide to Debugging
00:45 - The Three Types of Errors: Syntax, Runtime, Logic
02:00 - Reading the Signs: How to Interpret a Python Traceback
03:30 - The Flashlight: Using `print()` to Illuminate Your Code
05:00 - The Microscope: Step-by-Step with the Python Debugger (pdb)
07:15 - Case Study: The Silent Failure (A Logical Error)
09:00 - Case Study Analysis: The "Aha!" Moment
10:30 - Prevention is the Best Cure: Writing Clean Code
11:45 - An Introduction to PEP 8: Python's Style Guide
13:00 - The Transformation: From Bug Hunter to Code Master
14:15 - Your Toolkit for Code Mastery (Summary)


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