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A podcast about Python and the people who make it great. Hosted by @TobiasMacey
[email protected]

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In this episode Max Halford talks 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. https://t.co/1xiCnxclm8

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In this cross-over episode from the ML Podcast, Travis Addair talks about how the Predibase platform lets you start building machine learning applications rapidly without an artificial ceiling on what you can create. https://t.co/llmqyTluz5

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In this cross-over episode from The Machine Learning Podcast, the team from Deepchecks explores the challenges of testing and validating machine learning applications and their work to make it easier. https://t.co/WNqjpvqnZf

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In this episode Tuhin Srivastava talks 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 https://t.co/v68dPqwn2w

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In this episode Florian Wilhelm talks 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. https://t.co/4ixfCoUJda

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In this episode Bruno Rocha talks about how the Dynaconf framework for configuration management in Python applications simplifies the challenge of deploying across environments with security and best practices https://t.co/iXDB4LsbrG

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In this episode Charles Petzold talks 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. https://t.co/v7xsgJCRRE

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In this episode Nicolas Höning talks about the open source FlexMeasures project for building real-time and adaptable energy management systems and how you can use and contribute to it for your own energy systems. https://t.co/AwNeMXPT62

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In this episode Jigar Desai, SVP of Engineering at Sisu Data, talks about his extensive experience building and scaling engineering teams and useful lessons that you can apply to your own work as an engineering leader. https://t.co/XtoGMBBnHA

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In this episode Brian Pugh talks 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 https://t.co/RwTv9zxlyR

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In this episode Shannon Zhu talks about the Pyre project, Python's type annotations, and how to decide which type checker is right for you https://t.co/64DWlAsqsv

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In this episode Sean Knapp, CEO and co-founder of Ascend, talks about his experiences aligning all development to use Python to increase developer productivity. https://t.co/Fp0L6ANrYq

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In this episode On Freund talks about the benefits of code review for software teams and how to incorporate it into your development practice in a positive and productive manner. https://t.co/xWyKQfAMsr

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In this episode Jonathon Wright talks about the challenges of quality assurance in modern software development and how automation can reduce the burden for everyone. https://t.co/WzDAPMwisC

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In this episode Ronak Rahman talks 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. https://t.co/pBcqG6Jp9n

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In this episode Tony Pavlovych, co-founder of PLANEKS, talks 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 https://t.co/3TMJUPLNDN

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In this episode Matt Butcher talks about his work at Fermyon to drive adoption of web assembly as the next deployment target for software architectures in the cloud https://t.co/HUsf5dDkNi

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In this episode Tian Gao talks 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 https://t.co/U6r1hYSYKF

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In this episode Zander Matheson talks about the open source Bytewax framework for scalable real-time stream processing in pure Python and how you can start using it today https://t.co/uUKR9OmOoe

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In this episode Sam Willis talks 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. https://t.co/FjrGMViI7o