#474: Python Performance for Data Science

If you've built documentation in the Python ecosystem, chances are you've used Martin Donath's work. His Material for MKDocs powers docs for FastAPI, uv, AWS, OpenAI, and tens of thousands of other projects. But when MKDocs 2.0 took a direction that would break Material and 300 e ...  Show more

When LLMs write code to accomplish a task, that code has to actually run somewhere. And right now, the options aren't great. Spin up a sandboxed container and you're paying a full second of cold start overhead plus the complexity of another service. Let the LLM loose on your actu ...  Show more

Reproducibility, Python notebooks, and data science communities: Software developer Akshay Agrawal speaks to Jon Krohn about Marimo, the next-generation computational notebook for Python, how he built and fostered a thriving community around the product, and what makes this noteb ...  Show more

Ready to take your data analysis skills to the next level? In this episode of What's New at CFI, we chat with subject matter expert Joseph Yeates about his newest course, Data Analysis in Python. This course is the perfect follow-up to our "Getting Started with Python" series and ...  Show more

We talked with Steve Dower and Dan Taylor at Microsoft Build 2018 about the history of Python at Microsoft, the origination of IronPython, Python Tools for Visual Studio, flying under the radar to add support Python, fighting from within to support open source, and more. 

Jordan Adler is Head of Developer Engineering at OneSignal and has a deep interest in code generation. He has helped migrate large systems from Python 2 or Python 3 using code generation and code transformation. Using tools like Yellicode, Python Future, and others, Jordan's t ...