PyCon US Courses

Securing the Open Source Software Supply Chain

Explore tools and best practices for securing the open-source software supply chain, addressing vulnerabilities, and enhancing trust in the ecosystem. Learn about recent developments and future improvements.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Pyodide - A Python Distribution for the Browser

Explore Pyodide: Run Python in browsers and Node.js using WebAssembly. Learn about porting packages, JavaScript-Python integration, and building serverless web apps with Python.

• YouTube
• 41 minutes
• On-Demand
• Conference Talk

The Model Review - Improving Transparency, Reproducibility, and Knowledge Sharing

Explore implementing a Model Review process for ML models using MLflow, enhancing transparency, reproducibility, and knowledge sharing in machine learning development and deployment.

• YouTube
• 27 minutes
• On-Demand
• Conference Talk

GraphQL - The Devil's API

Explore GraphQL's advantages and pitfalls, learning optimization techniques for a flexible, high-performance interface. Discover best practices and when to use GraphQL effectively.

• YouTube
• 37 minutes
• On-Demand
• Conference Talk

How We Standardized Editable Installs - PEP 660 vs PEP 662

Explore the journey to standardize editable installs in Python packaging, from competing PEPs to the final consensus, and learn about the options considered and the ultimate solution.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Speed Up Data Access with PyArrow Apache Arrow - Data is the New API

Explore Apache Arrow's columnar memory format for fast, language-independent data access. Learn about PyArrow integration, performance benefits, and Apache Flight for analytics.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

How to Make Your Python Jupyter Notebook Standalone

Learn to make Python Jupyter notebooks reproducible and standalone using a JupyterLab extension for dependency management. Explore resolution engines, handle various scenarios, and ensure project reusability in cloud environments.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

Write Faster Python - Common Performance Anti Patterns

Discover techniques to optimize Python code for speed without sacrificing readability. Learn to use profilers, identify performance bottlenecks, and implement efficient coding practices.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Observability Driven Development

Explore techniques for developing applications with enhanced observability, focusing on searchable, consistent, and rich log messages to improve production debugging and customer support.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

Sculpting Data for Machine Learning

Explore dataset curation for machine learning, from identifying and extracting meaningful data to constructing high-quality datasets using Python, emphasizing the crucial role of data in developing smart algorithms.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

Peacock - Getting Started with Statically Typed Programming in Python 3.10

Explore static typing in Python 3.10, covering advantages, implementation, and new features. Learn about type hints, generics, and user-defined types to enhance code quality and development experience.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

Why Should Async Get All The Love - Advanced Control Flow With Threads

Explore advanced threading techniques in Python, inspired by asyncio, Go, and Node, for improved control flow and performance in concurrent programming.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

If an Asyncio Task Fails in the Woods and Nobody Is Around to See It, Does It Make a Sound?

Discover bad asyncio patterns and learn effective solutions for bootstrapping, tear down, and code improvement in this insightful talk on handling production failures.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

Testing Machine Learning Models

Explore techniques for testing ML/AI models beyond metrics, focusing on behaviors, usability, and fairness. Learn to identify risks, biases, and apply user-centric testing strategies.

• YouTube
• 31 minutes
• On-Demand
• Conference Talk

Making Data Classes Work for You

Explore data classes in Python through practical examples, focusing on creating robust, self-validating types for improved code reliability and maintainability.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk