SF Python Courses

How Context Engineering Reduced Bugs by 50% in Python Code Review

Discover how context engineering leverages multiple data sources to help LLMs catch hidden bugs and edge cases in Python code reviews, reducing bugs by 50%.

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

Increasing Types in Large Codebases with Pyrefly and AI Tooling

Explore Meta's approach to scaling Python type annotations using Pyre, Pyrefly, and AI tools for massive codebases and improved developer experience.

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

Powering Up with T-Strings in Python 3.14

Master t-strings in Python 3.14 to prevent code injection, create structured output, and simplify HTML/SQL integration beyond traditional f-strings.

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

Don't Make Assertion Assumptions with AI - You Still Have to Write Unit Tests

Discover strategies for balancing AI assistance with proper unit testing practices to maintain code quality and avoid over-reliance on automated tools.

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

Talk to Your Chess Games with Python and LLMs

Discover how to build an interactive chess coach using Python, python-chess, Stockfish, and LLMs to analyze games and answer strategic questions about positions and tactics.

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

Mentor Today, Lead Tomorrow - Why Interns Are Your Next Best Investment

Discover why investing in internships benefits companies, mentors, and the tech industry, featuring Python examples with Pandas and Matplotlib to demonstrate intern value and impact.

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

Taming LLMs with Pydantic - Parsing, Validating, and Guarding Output

Master Pydantic techniques to transform unpredictable LLM outputs into clean, validated Python objects with schemas, coercion, and guardrails for production use.

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

Architecting Real World Complex Systems in Python

Discover how Python's openness and object-oriented design can replace traditional proprietary tools for modeling, analyzing, and designing complex systems through model-based engineering.

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

Why Your Async Code Might Be Slower and How to Fix It

Discover common asyncio mistakes that slow down Python applications and learn practical patterns to write efficient async code through real-world examples and live demos.

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

Building Cross-Platform GUI Applications with Python

Discover how to create native GUI applications in Python, exploring cross-platform development techniques and accessing device-specific features beyond web and command-line interfaces.

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

Deploy Python Apps on Kubernetes and Prepare for Scale

Master Kubernetes deployment strategies for Python applications, focusing on scalability, database integration, and AI model implementation for production-ready architectures.

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

Scrolling Animated ASCII Art in Python

Discover how to create mesmerizing ASCII art animations using Python loops, print statements, and random numbers while learning fundamental programming concepts and artistic expression.

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

Raising Python Quality Across a Large and Diverse AI Organization

Discover effective strategies for scaling Python engineering excellence in AI organizations, from automated code quality tools to best practices using Poetry, Pytest, Black, Flake8, and Mypy.

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

The Five Demons of Python Packaging That Fuel Our Persistent Nightmare

Delve into the complex challenges of Python packaging through an analysis of 5 fundamental issues that have plagued the ecosystem for decades, understanding their origins and impact on development.

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

Python Code Quality: Using Types, Lints, and Codemods with Pyre

Discover essential techniques for maintaining high-quality Python code through type checking, linting tools, and automated code modifications using Pyre and codemods.

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