Michael Khaitov - Memoirs of a Python Object: Memory Management and Improving Performance 

Python is known to be expensive in Memory and CPU. However, it does not mean you can't do anything about it.
In this talk, we'll learn about Python's memory management, and what you can do today to improve the performance of your Python program.
Python is a dynamically typed and garbage collected language. These traits naturally mean that Python can be less efficient in terms of its CPU performance and its memory utilization.
In this talk, we learn about how Python manages its memory, and what you can do about it to improve the performance of your Python program.
More specifically, we'll learn about:
- Variables vs Names - why Python is different than other programming languages
- How Python represents objects, and specifically - the PyObject struct
- Python's two methods of garbage collecting - Reference Counting and Tracing
- How you can improve the performance of your program
- Two case studies from Instagram (Facebook)
Session language - English Target audience - Developers