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The Python Podcast.__init__

by Tobias Macey · English · Tech & Science

Conversations with the people who build the Python ecosystem — framework authors, library maintainers, data scientists, infrastructure engineers and community organizers.

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New episodes
Weekly
Typical length
51 min
Latest
12 Dec 2022
Language
English

Latest episode

12 Dec 2022 · 1 hr 16 min

Update Your Model's View Of The World In Real Time With Streaming Machine Learning Using River

Preamble This is a cross-over episode from our new show The Machine Learning Podcast , the show about going from idea to production with machine learning. Summary The majority of machine learning projects that you read about or work on are built around batch processes. The model is trained, and then validated, and then deployed, with each step being a discrete and isolated task. Unfortunately, the real world is rarely static, leading to concept drift and model failures. River is a framework for building streaming machine learning projects that can constantly adapt to new information. In this…

Earlier episodes 29 most recent

  1. E387 · 5 Dec 2022 · 59 min

    Declarative Machine Learning For High Performance Deep Learning Models With Predibase

    Preamble This is a cross-over episode from our new show The Machine Learning Podcast , the show about going from idea to production with machine learning. Summary Deep learning is a revolutionary category of machine learning that accelerates our ability to build powerful inference models. Along with that power comes a great deal of complexity in determining what neural architectures are best suited to a given task, engineering features, scaling computation, etc. Predibase is building on the successes of the Ludwig framework for declarative deep learning and Horovod for horizontally…

  2. E386 · 28 Nov 2022 · 48 min

    Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks

    Preamble This is a cross-over episode from our new show The Machine Learning Podcast , the show about going from idea to production with machine learning. Summary Machine learning has the potential to transform industries and revolutionize business capabilities, but only if the models are reliable and robust. Because of the fundamental probabilistic nature of machine learning techniques it can be challenging to test and validate the generated models. The team at Deepchecks understands the widespread need to easily and repeatably check and verify the outputs of machine learning models and the…

  3. E385 · 21 Nov 2022 · 45 min

    Build A Full Stack ML Powered App In An Afternoon With Baseten

    Preamble This is a cross-over episode from our new show The Machine Learning Podcast , the show about going from idea to production with machine learning. Summary Building an ML model is getting easier than ever, but it is still a challenge to get that model in front of the people that you built it for. Baseten is a platform that helps you quickly generate a full stack application powered by your model. You can easily create a web interface and APIs powered by the model you created, or a pre-trained model from their library. In this episode Tuhin Srivastava, co-founder of Basten, explains…

  4. E384 · 7 Nov 2022 · 58 min

    Skip Straight To The Fun Part Of Your Project With PyScaffold

    Summary Starting a new project is always exciting and full of possibility, until you have to set up all of the repetitive boilerplate. Fortunately there are useful project templates that eliminate that drudgery. PyScaffold goes above and beyond simple template repositories, and gives you a toolkit for different application types that are packed with best practices to make your life easier. In this episode Florian Wilhelm shares the story behind PyScaffold, how the templates are designed to reduce friction when getting a new project off the ground, and how you can extend it to suit your…

  5. E383 · 30 Oct 2022 · 1 hr 4 min

    Add Configuration Best Practices To Your Application In An Afternoon With Dynaconf

    Summary Application configuration is a deceptively complex problem. Everyone who is building a project that gets used more than once will end up needing to add configuration to control aspects of behavior or manage connections to other systems and services. At first glance it seems simple, but can quickly become unwieldy. Bruno Rocha created Dynaconf in an effort to provide a simple interface with powerful capabilities for managing settings across environments with a set of strong opinions. In this episode he shares the story behind the project, how its design allows for adapting to various…

  6. E382 · 23 Oct 2022 · 42 min

    Take A Tour Of The Hidden Language Of Hardware And How It Powers Your Code

    Summary Software is eating the world, but that code has to have hardware to execute the instructions. Most people, and many software engineers, don’t have a proper understanding of how that hardware functions. Charles Petzold wrote the book "Code: The Hidden Language of Computer Hardware and Software" to make this a less opaque subject. In this episode he discusses what motivated him to revise that work in the second edition and the additional details that he packed in to explore the functioning of the CPU. Announcements Hello and welcome to Podcast.__init__, the podcast about Python and the…

About The Python Podcast.__init__

Conversations with the people who build the Python ecosystem — framework authors, library maintainers, data scientists, infrastructure engineers and community organizers.

The Python Podcast.__init__ is a English tech & science podcast from Tobias Macey. Melo plays each episode straight from the publisher's own feed — no ads added, no account needed — and remembers where you stopped, in this browser only.

Publisher
Tobias Macey
Language
English
New episodes
Weekly
Typical length
51 min
Latest episode
12 Dec 2022
Feed
RSS — paste into any podcast app
Rights
© 2024 Boundless Notions, LLC.

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