What if the most valuable part of your research isn’t the paper, but the package that made it possible? In this episode, we talk with Leah Wasser, Executive Director and Founder of pyOpenSci, a nonprofit working to make scientific Python more inclusive, reproducible, and discoverable. We explore what “open science” really means in practice: transparent workflows that others can rerun, review, and extend. Leah explains how pyOpenSci’s peer review process helps turn lab scripts into reliable, c...
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What if the most valuable part of your research isn’t the paper, but the package that made it possible? In this episode, we talk with Leah Wasser, Executive Director and Founder of pyOpenSci, a nonprofit working to make scientific Python more inclusive, reproducible, and discoverable. We explore what “open science” really means in practice: transparent workflows that others can rerun, review, and extend. Leah explains how pyOpenSci’s peer review process helps turn lab scripts into reliable, c...
#191: Code, click, cloud - how Sebastián Ramírez is taking FastAPI to the next level
Pybites Podcast
45 minutes
6 months ago
#191: Code, click, cloud - how Sebastián Ramírez is taking FastAPI to the next level
Sebastián Ramírez returns in this episode to share the evolution of his journey from open-source developer to company founder, with the launch of FastAPI Cloud. After creating tools used by developers worldwide, Sebastián explains how he found a critical gap in the app creation process - the painful transition from local development to production deployment. Throughout our conversation, we hear how Sebastián and his team are working to remove this obstacle. We also hear some of the amazing w...
Pybites Podcast
What if the most valuable part of your research isn’t the paper, but the package that made it possible? In this episode, we talk with Leah Wasser, Executive Director and Founder of pyOpenSci, a nonprofit working to make scientific Python more inclusive, reproducible, and discoverable. We explore what “open science” really means in practice: transparent workflows that others can rerun, review, and extend. Leah explains how pyOpenSci’s peer review process helps turn lab scripts into reliable, c...