Asyncio has become one of Python’s most popular libraries for writing fast, scalable applications. But sometimes, using async can actually make programs slower.This talk explores common asyncio mistakes, how misunderstanding I O-bound vs. CPU-bound tasks hurts performance, and practical...

   In a world where AI-generated code is becoming more prevalent, who owns the output? Can AI companies freely use your open-source code as training data? What are the legal ramifications when an AI system infringes upon existing intellectual property rights?Alla will address these critical questions...

   Even powerful testing tools go unused. Drawing from years maintaining Python testing infrastructure, this talk explores why adoption is a social problem needing technical solutions.We’ll examine the gap between what’s possible (property-based testing, coverage-guided fuzzing) and what developers...

   Python - like many languages - lets you do dangerous things. Many of features that allow you to do inadvisable things were used to achieve things that since became defining features of Python.Python - unlike many languages - discovered that leaving these features lying next to dangerous things was...

   In late May, the Federal Reserve Bank of New York announced CS majors ranked 7th in unemployment at 6.1%. With the scarcity of openings for interns and new grads relative to previous years, internships are now more important than ever. Join me in highlighting the value of interns to the company,...

   Simply understanding--let alone designing--complex systems can be tricky. Traditionally, systems engineering approaches have relied on clunky, proprietary, opaque tools to model, analyze, and design system structure and behavior. Python’s core features--openness, simplicity, and object-oriented...

   What if you could chat with your chess games " about strategy, tactics, weaknesses, and more In this talk, we’ll build a Python-based chat coach: analyze your Chess games with python-chess Stockfish, then pair positions and engine insights with an LLM.You’ll learn how to ask why is...

   Python’s built-in dataclasses module provides an enormous amount of leverage when defining classes: minimal code can enable maximal capabilities. However, inevitably, the dataclass decorator will fall short of your needs as a program grows over time and gains complexity. This talk will walk through...

   Modern software applications are distributed systems. They need to connect and communicate with other application across a network. Event-Driven Architecture is a common pattern for facilitating this connectivity, using Events as the communication abstraction. However, this pattern introduces...

   LLMs can be unpredictable, fragile, and tricky to scale responsibly. In this talk, you’ll learn how to use Pydantic to transform that chaos into clean, typed, validated Python objects you can safely rely on in production.Based on our own real world experience with it, we’ll explore how to...

   Join us to kick off PyBay 2025 with Chris Brousseau the Conference Chair. Hear about the day and important messages from a few guest speakers. For more information, see https: pybay.org Follow us on LinkedIn https: www.linkedin.com company pybay

   I’ve maintained a variety of open source libraries for 25 years now. Some of these libraries are extremely popular. Some are downloaded millions of times per month; some thousands of times, some tens of times. The experience at these different scales is very different. Some skills are seamlessly...

   In the medallion data architecture, the bronze layer is for staging incoming raw data before further transformation and cleaning. Ideally, tabular CSV data undergoes minimal transformations and is queryable upon ingestion; however, third party data sources can contain unstable schema that make this...

   We’ve all been inundated with opinions, takes (both hot and cold), thought leadership, and rants and raves about the merits, misfortunes, and malevolence of AI in coding. Wherever you fall on the spectrum, as a developer, you likely won’t be able to avoid AI.And yes, you still have to...

   I’m a big fan of AI-assisted coding tools"they’re making programming more accessible than ever But as developers, we risk using LLMs to write everything, including our tests, and forgetting the powerful tools in our Python testing toolbox.In this talk, I’ll explore where AI...