Diana Gastrin

Python: Behind the Scenes

Python secretly caches integers from -5 to 256. This is just one of the internal optimizations that explains its most surprising behaviors.

Python: Behind the Scenes
#1about 5 minutes

Understanding the core attributes of Python objects

Every object in Python is defined by its value, ID, and type, with mutable objects like lists differing from immutable ones like tuples.

#2about 2 minutes

Exploring Python's dynamic and duck typing model

Python uses dynamic typing, where a variable is a pointer to an object, allowing for flexible 'duck typing' based on method availability rather than inheritance.

#3about 6 minutes

Navigating variable scopes with global and nonlocal

Python resolves variables using the LEGB rule (Local, Enclosing, Global, Built-in), and the `global` and `nonlocal` keywords are used to modify variables in outer scopes.

#4about 2 minutes

How Python simulates private methods using name mangling

Python doesn't have true private methods, but it uses name mangling on methods prefixed with a double underscore to discourage direct access from outside the class.

#5about 3 minutes

Understanding boolean logic and short-circuit evaluation

The `and` and `or` operators use short-circuit evaluation, stopping as soon as the outcome is known and returning the actual object that determined the result.

#6about 5 minutes

Exploring comparison operators and Python's caching behavior

The `is` operator checks for object identity, revealing Python's internal caching of small integers and simple strings for performance optimization.

#7about 1 minute

Audience Q&A on slots, globals, and private properties

The speaker answers audience questions regarding the relevance of `__slots__` in modern Python and the best practices for using `global` and `nonlocal` keywords.

Related jobs
Jobs that call for the skills explored in this talk.

Featured Partners

Related Videos

Pointers? In My Python? It's More Likely Than You Think37:37

Pointers? In My Python? It's More Likely Than You Think

Eli Holderness

Overview of Machine Learning in Python57:46

Overview of Machine Learning in Python

Adrian Schmitt

CUDA in Python21:02

CUDA in Python

Andy Terrel

Accelerating Python on GPUs59:43

Accelerating Python on GPUs

Paul Graham

Python Data Visualization @ Deepnote (w/ PyViz overview)50:38

Python Data Visualization @ Deepnote (w/ PyViz overview)

Radovan Kavický

Automagic Configuration in Python50:22

Automagic Configuration in Python

Oliver Bestwalter

The best of both worlds: Combining Python and Kotlin for Machine Learning26:28

The best of both worlds: Combining Python and Kotlin for Machine Learning

Nils Kasseckert

Full Stack Web Apps With Nothing But Python27:11

Full Stack Web Apps With Nothing But Python

Eli Holderness

From learning to earning

Jobs that call for the skills explored in this talk.