YoVDO

From 3 to 300 FPS - NES Emulation in Python and Cython

Offered By: PyCon US via YouTube

Tags

PyCon US Courses Python Courses Code Optimization Courses Cython Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the journey of optimizing a Nintendo Entertainment System (NES) emulator in Python, from a sluggish 2 frames per second to an impressive 300+ fps using Cython. Dive into the advantages and challenges of leveraging Cython to achieve real-time performance from an existing Python codebase. Learn about emulation principles, optimization techniques, and how these lessons can be applied to other performance-dependent projects. Gain insights into the viability of Python for emulator development and discover practical strategies for overcoming performance bottlenecks in your own code.

Syllabus

Intro
What's in this Talk
What is Emulation?
Why Emulate?
Why Emulate in Python?
V1: a NES in Python
V1: it boots! But...
Making it faster
Cython and Optimization Fits with Optimization Principle
V2: 100x faster!
Challenges & Hazards
Lessons For My Day Job
The End


Taught by

PyCon US

Related Courses

Intro to Python for Brand New Programmers
PyCon US via YouTube
Comprehending Comprehensions
PyCon US via YouTube
Data Analysis with SQLite and Python
PyCon US via YouTube
Build a Production Ready GraphQL API Using Python
PyCon US via YouTube
Web Development With A Python-backed Frontend - Featuring HTMX and Tailwind
PyCon US via YouTube