The folks over at Astral have made some big-time impacts in the Python space with uv and ruff. They are back with another amazing project named ty. You may have known it as Red-Knot. But it's coming up on release time for the first version and with the release it comes with a new official name: ty. We have Charlie Marsh and Carl Meyer on the show to tell us all about this new project.
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If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph.
If you've heard the phrase "Automate the boring things" for Python, this episode starts with that idea and takes it to another level. We have Glyph back on the podcast to talk about "Programming YOUR computer with Python." We dive into a bunch of tools and frameworks and especially spend some time on integrating with existing platform APIs (e.g. macOS's BrowserKit and Window's COM APIs) to build desktop apps in Python that make you happier and more productive. Let's dive in!
If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelbach is here to tell us about programming your GPU in pure Python.
ExcellentI love the long-form, story-driven podcasts. Michael does a great job interviewing and always seems to get the best guests. I'm working on listening to every episode.
Very informative Python podcastGreat podcast on all aspects of Python. I highly recommend for anyone interested in Python.
Exceptional for those new to PythonThe podcast has been a wealth of information and has positively contributed to my efforts to learn Python. Michael interviews a great cross-section of people using Python. The biggest benefit for me has been the exposure to the various libraries and seeing the multitude of areas that I can use Python. Frankly, the podcast this the best way I've found to augment the training videos, documentation, and books I've used to learn the language.
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