An interview with Max Halford about the benefits of streaming machine learning for systems that need to learn continuously without being taken offline and how the River library supports building those models.

An interview with Travis Addair about how the Predibase platform lets you start building machine learning applications rapidly without an artificial ceiling on what you can create.

A cross-over episode from The Machine Learning Podcast with the team from Deepchecks, exploring the challenges of testing and validating machine learning applications and their work to make it easier.

An interview with Tuhin Srivastava about how the Baseten platform allows data scientists and ML engineers to build a full stack machine learning powered application by themselves in an afternoon

An interview with Florian Wilhelm about PyScaffold, an extensible toolkit filled with templates that have best practices embedded so that you can skip straight to working on the part of your project that you actually care about.

An interview with Bruno Rocha about how the Dynaconf framework for configuration management in Python applications simplifies the challenge of deploying across environments with security and best practices

An interview with Charles Petzold about the second edition of his book "Code: The Hidden Language Of Computer Hardware and Software" and how an understanding of how hardware works can make you a better software engineer.

An interview with Nicolas Höning about the open source FlexMeasures project for building real-time and adaptable energy management systems

An interview with Jigar Desai about his extensive experience building and scaling engineering teams and useful lessons that you can apply to your own work as an engineering leader.

An interview with Brian Pugh about the Belay project that he created to speed up his work on hardware projects built with MicroPython and the various challenges related to developing for micronctrollers

An interview with Shannon Zhu about the Pyre project, and how to decide which type checker is right for you

An interview with Sean Knapp, CEO and co-founder of Ascend, about his experiences aligning all development to use Python to increase developer productivity.

An interview with On Freund about the benefits of code review for software teams and how to incorporate it into your development practice in a positive and productive manner.

An interview with Jonathon Wright about the challenges of quality assurance in modern software development and how automation can reduce the burden for everyone.

An interview with Ronak Rahman, head of developer relations at Quali, about the benefits of providing self-serve access to infrastructure for your developers so that your teams can build and ship faster without unnecessary friction.

An interview with Tony Pavlovych of PLANEKS about the lessons that he and his team have learned building Minimum Viable Products (MVPs) for startups with Python and Django and how to test your startup's ideas

An interview with Matt Butcher about his work at Fermyon to drive adoption of web assembly as the next deployment target for software architectures in the cloud

An interview with Tian Gao about the open source VizTracer project and how it grants you a deeper understanding of what your code is doing and what takes the most time through a combination of profiling and intuitive visualization

An interview with Zander Matheson about the open source Bytewax framework for scalable real-time stream processing in pure Python

An interview with Sam Willis about his work on the Tetra framework for easily building full stack web apps in Django without having to wrestle with a separate Javascript project and all of the complexity that it brings.