PyCon US Courses

Pandas and Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars

Explore Dask DataFrame 2.0's improvements, comparing its performance to Spark, DuckDB, and Polars using TPC-H benchmarks. Learn about new features enhancing speed, efficiency, and usability in big data processing.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Seeing is Believing - Using Diagrams to Communicate Complex Ideas with Python

Explore techniques for creating effective diagrams and visuals to simplify complex ideas in Python projects, enhancing team communication and documentation.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Enhancing Decorators with Type Annotations - Techniques and Best Practices

Explore techniques for enhancing Python decorators with type annotations, improving code clarity and catching errors early using static type checkers and advanced typing features.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Geospatial Validations Using FastAPI and PostGIS

Explore geospatial data integration in web apps using PostGIS and FastAPI. Learn fundamentals, leverage PostgreSQL extension, and implement custom validations for efficient backend development.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Eternal Sunshine of the Spotless Development Environment - Creating Reproducible Environments with Dev Containers

Explore Dev Containers for reproducible Python environments, enhancing project setup, contributor onboarding, and workshop management using VS Code and Docker-based tools.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Unlocking the Parallel Universe: Subinterpreters and Free-Threading in Python 3.13

Explore Python 3.13's subinterpreters and free-threading for enhanced parallel execution. Learn implementation, limitations, and real-world applications in web server architecture.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Combining Django ORM and FastAPI in a Single App

Explore the unconventional combination of Django ORM and FastAPI, learning practical insights, benefits, and challenges of integrating synchronous and asynchronous frameworks in Python web development.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Near Zero-Overhead Python Code Coverage - SlipCover

Discover SlipCover, a new tool reducing Python code coverage overhead to 5%. Learn its advantages over coverage.py and integration with Python 3.12's Low Impact Monitoring API.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Building a JIT Compiler for CPython

Explore CPython's JIT compiler development using "copy-and-patch" technique, addressing challenges and tradeoffs in performance optimization for diverse platforms and user bases.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Visual Data Storytelling with Blender and Python

Discover how to create immersive 3D animations for data storytelling by combining Blender's 3D capabilities with Python's 2D plotting libraries, enhancing your data visualization skills.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Python and Data Storytelling - Avoiding Deaths by PowerPoint

Explore innovative Python tools and data storytelling techniques to create engaging, interactive presentations that captivate audiences and enhance information retention.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

The Design of Everyday APIs - Principles of Good API Design

Explore principles of good API design: simplicity, consistency, and flexibility. Learn to create ergonomic APIs through real-world examples and iterative improvements for delightful user experiences.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Event-Driven Asyncio: A Case Study of Trio's API

Explore Python's asyncio for efficient single-thread operations, focusing on Trio's API for streamlined robot decision-making. Learn about trio, trio-util, anyio, and asyncio implementations.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Intro to Python for Brand New Programmers

Hands-on introduction to Python basics for absolute beginners. Learn about data types, conditionals, loops, and user input through interactive exercises and practical programming examples.

• YouTube
• 2 hours 17 minutes
• Self-Paced
• Conference Talk

Comprehending Comprehensions

Explore Python comprehensions: learn to write and utilize list, set, and dict comprehensions, nested comprehensions, and generator expressions. Understand their advantages over regular loops.

• YouTube
• 2 hours 18 minutes
• Self-Paced
• Conference Talk