Scalable Realtime Architectures in Python
This talk will focus on you can readily implement highly scalable and fault tolerant realtime architectures, such as dashboards, using Python and tools like Storm, Kafka, and ZooKeeper. We will focus on two related aspects: composing reliable systems using at-least-once and idempotence semantics and how to partition for locality.
▶︎
Twisted Names: DNS Building Blocks for Python Programmers
▶︎
Advanced Database Programming with Python
▶︎
What does '__init__.py' do in Python?
▶︎
Event discrete simulation with SimPy
▶︎
Linked List - Data Structures in Python #1
▶︎
Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains
▶︎
Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup
▶︎
Big Data Analytics with Python using Stratosphere
▶︎
Using asyncio (aka Tulip) for home automation
▶︎
Practical PyBuilder
▶︎
10 Important Python Concepts In 20 Minutes
▶︎
Something is jamming GPS over Europe. Here's what we found
▶︎
Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit
▶︎
Out-of-Core Columnar Datasets
▶︎
Fun with cPython memory allocator
▶︎
Don't learn AI Agents without Learning these Fundamentals
▶︎
System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra
▶︎
Everything You Always Wanted to Know About Memory in Python But Were Afraid to Ask
▶︎
Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
▶︎