Dive into the hidden mechanics of Python's runtime in this 27-minute PyCon US talk. Explore the events occurring behind the scenes during program execution, including Python's memory model, variables, and frame objects. Discover how to inspect program state during runtime without additional libraries or interpreter parameters. Learn about powerful tools based on runtime information that can enhance your daily Python programming. Gain insights into Python's memory model, stack frames, exception handling, debugging techniques, code coverage, typing tools, and concurrent execution. Access practical examples and slides to deepen your understanding of Python's inner workings and leverage its hidden power in your development process.
Overview
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
Taught by
PyCon US
