In this class you will learn how to debug programs systematically, how to automate the debugging process and build several automated debugging tools in Python.
Overview
Syllabus
- How Debuggers work
- Theory: Scientific method and its application to debugging.,Fun fact: First bug in the history of computer science.,Practice: Building a simple tracer.
- Asserting Expectations
- Theory: Assertions in testing and in debugging.,Fun fact: The most expensive bug in history.,Practice: Improving the tracer.
- Simplifying Failures
- Theory: Strategy of simplifying failures. Binary search. Delta debugging principle.,Fun fact: Mozilla bugathon.,Practice: Building a delta debugger.
- Tracking Origins
- Theory: Cause-effect chain. Deduction. Dependencies. Slices.,Fun fact: Sherlock Holmes and Doctor Watson.,Practice: Improving the delta debugger.
- Reproducing Failures
- Theory: Types of bugs (Bohr bug, Heisenbug, Mandelbug, Schrodinbug). Systematic reproduction process.,Fun fact: Mad laptop bug.,Practice: Building a statistic debugging tool.
- Learning from Mistakes
- Theory: Bug database management. Classifying bugs. Bug maps. Learning from mistakes.,Fun fact: Programmer with the most buggy code.,Practice: Improving your tools and practicing on a real world bug database.
Taught by
Andreas Zeller
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Reviews
4.7 rating, based on 6 Class Central reviews
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Very vital for all online users. Fantastic!
It worth the time and energy to undergo this course
it's very straight forward -
There is no decent book about debugging in Python. And this course fills the gap. Good presentation, easily understandable and concentrates on essnetial. Students need intermediate programming skills in Python, understanding of OOP, DS and A. Highly recommended for every beginner programmer.
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Very useful course and fills a gap - it gives much more information in this topic than anything I found before.
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One of the top online courses i have taken till now. Carefully explains debbuging methodologies and exhibits with examples and quizes.
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