PyCon US Courses

Using Python to Assess Landslide Risk: A Matter of Life and Death

Exploring Python's role in analyzing landslide risk in Southeast Alaska, showcasing how data analysis can create a community-driven early warning system for potential disasters.

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

Reverse Engineering Python Binaries - There and Back Again

Uncover Python bytecode secrets: Learn to interpret and decompile .pyc files, explore challenges in automated decompilation, and gain insights into recovering source code from bytecode.

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

Friends Don't Let Friends Package Alone - A Community Approach to Python Packaging

Demystifying Python packaging: Learn about pyOpenSci's community-driven approach to simplify the process, build consensus on best practices, and create accessible recommendations for successful package development.

• YouTube
• 30 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

Building a Data Visualization App for Mobile Phones Using Python

Learn to create mobile data visualization apps using Python tools like NumPy and Matplotlib, without needing specialized mobile development skills.

• YouTube
• 32 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
• 15 minutes
• Self-Paced
• Free Video

Overcoming GIL with Subinterpreters and Immutability

Explore efficient data sharing between Python subinterpreters using the "memhive" framework, enabling true parallelism without serialization overhead.

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

Python Debugger Mechanics and Optimization - From sys.settrace to PEP 669

Explore Python debugger mechanics, from sys.settrace to PEP 669's low-cost monitoring system. Learn how debuggers work and discover potential 100x speedup for breakpoints in Python 3.12.

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

Python ate my Homework - Using SymPy for Mathematical Problem-Solving

Discover SymPy for solving complex math problems with Python. Learn to use Jupyter for assignments and contribute to computational mathematics.

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

Procedurally Generated Monsters - A Complete Example of Python Game Development

Discover Python game development from concept to Steam release, exploring procedural generation, robust testing, and engaging gameplay in this comprehensive tutorial.

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

Hacking Import for Speed: Writing a GPU Accelerator for Pandas

Explore Python's import system hacking to accelerate pandas on GPU using cuDF. Learn Pythonic proxy patterns and dynamic features to boost performance without code changes.

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

Reverse Engineering Python Binaries - There and Back Again

Uncover Python bytecode secrets: Learn to interpret and decompile .pyc files, explore challenges in automated decompilation, and gain insights into recovering source code from bytecode.

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

Extensible Python - Robustness Through Addition

Explore extensible Python coding techniques to create robust, maintainable software. Learn patterns for composable code, event-driven architectures, and pluggable systems to extend functionality without modifying existing code.

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

Times and Dates in Pandas

Explore Pandas' powerful capabilities for handling time-based data, from parsing inputs to performing sophisticated analysis and resampling, enhancing your data manipulation skills.

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

Making Beautiful, Publication Quality Tables in Python - 2024 Update

Explore techniques for creating visually appealing, publication-ready tables in Python, bridging the gap between raw DataFrame output and structured, informative displays.

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