Update Your Model's View Of The World In Real Time With Streaming Machine Learning Using River
The Python Podcast.__init__
by Tobias Macey
1y ago
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 ep ..read more
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Declarative Machine Learning For High Performance Deep Learning Models With Predibase
The Python Podcast.__init__
by Tobias Macey
1y ago
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 distributing ..read more
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Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks
The Python Podcast.__init__
by Tobias Macey
1y ago
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 co ..read more
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Build A Full Stack ML Powered App In An Afternoon With Baseten
The Python Podcast.__init__
by Tobias Macey
1y ago
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 how t ..read more
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Add Configuration Best Practices To Your Application In An Afternoon With Dynaconf
The Python Podcast.__init__
by Tobias Macey
1y ago
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 ap ..read more
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Take A Tour Of The Hidden Language Of Hardware And How It Powers Your Code
The Python Podcast.__init__
by Tobias Macey
1y ago
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 ..read more
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Take Control Of Your Electrical Systems With The Open Source FlexMeasures Energy Management System
The Python Podcast.__init__
by Tobias Macey
1y ago
Summary The generation, distribution, and consumption of energy is one of the most critical pieces of infrastructure for the modern world. With the rise of renewable energy there is an accompanying need for systems that can respond in real-time to the availability and demand for electricity. FlexMeasures is an open source energy management system that is designed to integrate a variety of inputs intelligently allocate energy resources to reduce waste in your home or grid. In this episode Nicolas Höning explains how the project is implemented, how it is being used in his startup Seita, and how ..read more
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How And Why To Build Effective Teams As An Engineering Leader
The Python Podcast.__init__
by Tobias Macey
1y ago
Summary Your ability to build and maintain a software project is tempered by the strength of the team that you are working with. If you are in a position of leadership, then you are responsible for the growth and maintenance of that team. In this episode Jigar Desai, currently the SVP of engineering at Sisu Data, shares his experience as an engineering leader over the past several years and the useful insights he has gained into how to build effective engineering teams. Announcements Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great! When you’re ..read more
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Complete Your Hardware "Weekend Projects" In An Actual Weekend With Belay
The Python Podcast.__init__
by Tobias Macey
1y ago
Summary Working on hardware projects often has significant friction involved when compared to pure software. Brian Pugh enjoys tinkering with microcontrollers, but his "weekend projects" often took longer than a weekend to complete, so he created Belay. In this episode he explains how Belay simplifies the interactions involved in developing for MicroPython boards and how you can use it to speed up your own experimentation. Announcements Hello and welcome to Podcast.__init__, the podcast about Python and the people who make it great! When you’re ready to launch your next app or want to try a p ..read more
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Catching Up With Pyre, A Fast Type Checker For Python
The Python Podcast.__init__
by Tobias Macey
1y ago
Summary Static typing versus dynamic typing is one of the oldest debates in software development. In recent years a number of dynamic languages have worked toward a middle ground by adding support for type hints. Python’s type annotations have given rise to an ecosystem of tools that use that type information to validate the correctness of programs and help identify potential bugs. At Instagram they created the Pyre project with a focus on speed to allow for scaling to huge Python projects. In this episode Shannon Zhu discusses how it is implemented, how to use it in your development process ..read more
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