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Learn Debugging and Resolving Errors in Python
Rating: 5.0 out of 5(1 rating)
24 students

Learn Debugging and Resolving Errors in Python

Master Debugging with python built-in debugger pdb; trace errors, inspect variables, and solve problems fast
Created byAdnan Kaya
Last updated 11/2025
English

What you'll learn

  • Identify, analyze, and resolve common Python errors and exceptions confidently.
  • Understand and use Python’s built-in debugger (pdb) to inspect and control program execution.
  • Approach and troubleshoot Python code methodically, even without an IDE.
  • Develop strategies for researching and finding solutions to Python errors effectively.
  • Gain practical skills to debug any Python script or project in any environment.

Course content

2 sections • 7 lectures • 56m total length

  • Intro1:57
  • Understanding Errors and Debugging Basics2:35
  • Most Common Syntax Errors8:18

    Every Python beginner encounters SyntaxErrors but do you really understand why they happen? ?

    In this video, we’ll dive deep into the most common SyntaxErrors in Python, what causes them, and how to fix them quickly and confidently. We’ll cover:

    • Missing colons (:) in if, for, while, and function definitions

    • Incorrect indentation or mixing tabs and spaces

    • Unclosed parentheses, brackets, or quotes

    • Misuse of assignment (=) vs comparison (==)

    • Using keywords as variable names

    • Missing commas or colons in dictionaries and lists

    • Trailing commas or unexpected indentation

    • Missing or extra parentheses in function calls

    By the end, you’ll be able to spot syntax errors instantly, understand the error messages clearly, and debug your Python code like a pro, even without fancy tools or IDEs.

  • Most Common Runtime Errors14:11

    Stop getting stuck! ? This lecture breaks down the Top 10 Python Runtime Errors every beginner and intermediate coder faces. Unlike Syntax Errors that stop your program immediately, these runtime exceptions crash your code after it starts executing. We dive into the "why" and "how to fix" each one. Learn to diagnose the infamous NameError, solve incompatible TypeError issues, debug array bounds with IndexError, and handle missing dictionary data with KeyError. We also cover fatal flaws like ZeroDivisionError and common mistakes when working with files and object methods (FileNotFoundError, AttributeError). Master the art of reading Python tracebacks, and turn every error into a logical clue to become a debugging pro!

  • Most Common Logic Errors10:26

    Learn the 7 most common Logic Errors in Python that beginners and even experienced developers struggle with!

    In this video, I break down real-world examples of mistakes that cause programs to run forever, return wrong values, skip conditions, modify data unexpectedly, and produce incorrect results even when the code “looks fine.” You’ll learn how to identify, understand, and fix these logic errors:

    • Infinite loops (forgotten update variables)

    • Missing return values

    • Incorrect condition ordering

    • Variable shadowing

    • Modifying a list while iterating

    • Confusing == with is

    • Mutability & reference errors Each example includes clear explanations, correct solutions, and practical debugging tips.

    If you want to write cleaner, more predictable, more professional Python code, this lesson is essential. Perfect for beginners, intermediate developers, and anyone who wants to improve their debugging skills.

  • Traceback Reading6:24

Requirements

  • Basic knowledge of Python syntax : learners should know how to write simple Python programs and understand variables, loops, functions, and basic data types.
  • Python 3+ installed on your computer
  • A terminal or text editor. No IDE is required, but students should be able to run Python scripts from a terminal or command prompt.
  • Willingness to experiment and practice: debugging is best learned by doing, so students should be ready to try examples and exercises.

Description

Every Python developer, beginner or advanced, encounters bugs and confusing errors. The real difference between a struggling programmer and a confident one lies in debugging skills, knowing how to find and fix problems efficiently.

In today’s AI-driven world, knowing how to think, debug, and fix errors is more valuable than ever. AI tools can assist you, but real developers understand what’s happening under the hood.

In this hands-on mini course, you’ll learn how to debug any Python code using pdb, the built-in debugger that works in any environment (no IDE required). You’ll gain a deep understanding of how Python executes your code, how to read and interpret error messages, and how to pause, inspect, and modify your program’s state to uncover hidden issues.

Through practical examples and real-world exercises, you’ll learn:

  • How to set breakpoints, step through code, and analyze what’s really happening behind the scenes

  • How to identify and resolve common Python errors like TypeError, KeyError, and ImportError

  • How to troubleshoot logic errors and fix unexpected program behavior

  • How to research solutions effectively and even get help from AI tools

By the end of this course, you’ll be able to debug confidently in any environment, understand how to think like a problem solver, and save hours of frustration when your code doesn’t work.

No fancy IDEs or frameworks! Just pure, practical Python debugging mastery.

Who this course is for:

  • Beginner Python developers who want to gain confidence in finding and fixing errors.
  • Self-taught programmers who need practical strategies to approach and resolve Python errors effectively.
  • Intermediate Python developers who want to improve their debugging skills and learn to troubleshoot code without relying on an IDE.
  • Developers looking to work independently in any environment, including servers or minimal setups, where IDEs may not be available.
  • Anyone interested in learning systematic problem-solving for Python, including researching solutions and leveraging AI tools for help.

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