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.
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Are you using Polars for your data science work? Maybe you've been sticking with the tried-and-true Pandas? There are many benefits to Polars directly of course. But you might not be aware of all the excellent tools and libraries that make Polars even better. Examples include Patito which combines Pydantic and Polars for data validation and polars_encryption which adds AES encryption to selected columns. We have Christopher Trudeau back on Talk Python To Me to tell us about his list of excellent libraries to power up your Polars game and we also talk a bit about his new Polars course.
If you're doing data science and have mostly spent your time doing exploratory or just local development, this could be the episode for you. We are joined by Katherine Nelson to discuss techniques and tools to move your data science game from local notebooks to full-on production workflows.
Do you like to dive into the details and intricacies of how Python executes and how we can optimize it? Well, do I have an episode for you. We welcome back Brandt Bucher to give us an update on the upcoming JIT compiler for Python and why it differs from JITs for languages such as C# and Java.
Seriously great!I really like this podcast. Great host, interesting guests and topics, and high quality work.
Great Python PodcastGreat pick if you need to catch up on Python!
Learn something every timeThis show is filled with great content and Michael is an engaging and gracious host! Every episode has wonderful conversation and I learn something I follow up on just about every time.
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