The Bajoran Engineer

Data Scientists' Guide to Python 3.14 : A Practical Look with Jupyter Code Examples

Python 3.8 gave us the walrus operator (useful but not earth-shattering). Python 3.9-3.11 had solid performance improvements and type hints enhancements. Python 3.12's performance boost was nice but not transformative for most data science workloads. What makes 3.14 different is that it tackles some genuinely annoying problems that data scientists actually face. Not everything is groundbreaking, but a few features address real pain points I've encountered in production systems.

Congratulations to the PyPI Team on Organizations

This milestone represents much more than just a new feature. It establishes a crucial new revenue stream for the Foundation at a time where the entire open source ecosystem has seen a shudder of corporate support. In the past year alone, PyPI served over 235 billion downloads for nearly 450,000 projects.

The Year of The Snake and a review of 2024

• Chair of the Python Software Foundation
• Currently writing "Domain Driven Django" applying Domain-Driven Design architecture philosophy to Django projects
• Leading go-to-market strategy and community engagements for Python developer tools