Marcelo Trylesinski, a senior software engineer at Pydantic and a maintainer of open-source Python tools including Starlette and Uvicorn, joins host Gregory M. Kapfhammer to talk about FastAPI. Their conversation focuses on the design and...
Wolf Vollprecht, the CEO and founder of Prefix.dev, speaks with host Gregory M. Kapfhammer about how to implement Python tools, such as package managers, in the Rust programming language. They discuss the challenges associated with building Python...
Zac Hatfield-Dodds, the Assurance Team Lead at Anthropic, speaks with host Gregory M. Kapfhammer about property-based testing techniques and how to use them in an open-source tool called Hypothesis. They discuss how to define properties for a Python...
In this episode, SE Radio host Felienne spoke with Jordan Adler about code generation, a technique to generate code from specifications like UML or from other programming languages such as Typescript. They also discuss code transformation, which can...
Omer Katz, a software consultant and core contributor to the Celery discusses the Celery task processing framework with host Nikhil Krishna. Discussion covers in depth: the Celery task processing framework, it’s architecture and the underlying...
Ken Youens-Clark, author of Tiny Python Projects discusses Python. Felienne spoke with Youens-Clark about new features in Python, including optional typing and immutable datatypes. They also discussed Youens-Clark’s upcoming book on how to teach...
Jeremy Howard from fast.ai explains deep learning from concept to implementation. With transfer learning, individuals and small organizations can quickly get to work on machine learning problems using the open source fastai library and desktop...
Felienne interviews Veronika Cheplygina about image recognition. The discussion covers: what exactly constitutes image recognition, including categorizing and segmentation problems; fields where image recognition are currently being applied...
Felienne interviews Jeroen Janssens on Data Science. They examine what data science is exactly, particularly exploring how it differs from machine learning and statistics. The episode further considers what skills people need to be great data...
We start our discussion with a brief look at what Haskell is and how a pure functional language is different from non-pure languages. We then look at the basic building blocks and the philosophy of the language, discussing concepts such as the...