Elizaveta Shashkova - The Hidden Power of the Python Runtime

Python

Explore the hidden power of the Python runtime, including debuggers, frame objects, and the inspect module, to gain a deeper understanding of program execution and optimize your code.

Key takeaways

Python runtime provides a lot of useful information, but it’s hidden from users and available only during execution.
Debuggers are cool tools that help find bugs and understand program execution.
sys.getframe() and sys.currentFrame() can be used to get the current frame object.
A frame object contains information about the current program scope, such as local and global variables, corresponding code object, and more.
Code object represents a chunk of executable code and contains information about the file name, function name, and line number.
inspect module provides functions to inspect frame objects and program scope.
Profiling function and tracing function are used in debuggers to analyze program execution.
Frame evaluation function is used to evaluate the result of some code.
There are two ways to execute tasks concurrently in Python: threads and asynchronous tasks.
Dead logs can occur when threads are waiting for resources that can’t be released.
coverage.py is a popular code coverage library that uses tracing function and record types of function arguments.
A code object knows about the file name, where it was created, and the name of the function or module where it was defined.
Local and global variables can be accessed using locals() and globals() functions.
Frame object contains a dictionary of local variables, where keys are their names and values are variable objects.
Asynchronous tasks are similar to real threads and have the same synchronization objects.
inspect.getSource() function can be used to get the source code represented as a string and line number.

Elizaveta Shashkova - The Hidden Power of the Python Runtime

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