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The Hidden Power of the Python Runtime

PyCon US via YouTube

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This talk shows how to inspect a running Python program through its memory model and frame objects. It explains how runtime information supports tools such as debuggers, code coverage tools, and typing tools.

Syllabus

Intro
Test Frameworks
Assertion Error
Created Explicitly
Python Objects
Python Power
Python Stack Frame
Frame Object: Variables
Code Object
Previous Frame
Contents
Exception Object
AssertionError Variables
Usage
Python Debugger
Tracing Function
Frame Evaluation
More About Debuggers
Access to Frame
Debugger: Location
Debugger: Variables
Debugger: Frames
Code Coverage
coverage.py
Typing Tools
Acces To Frame
Collecting Types
Concurrent Execution
Python Threads
Synchronisation
Deadlock
Thread States
Thread Handler
Async Locks
Async Fault Handler
Development Tools
The Hidden Power of Runtime
Inspiration
Links

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PyCon US

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