Have you ever been wait around for pip to do its thing while installing packages or syncing a virtual environment or through some higher level tool such as pip-tools? Then you'll be very excited to hear about the tool just announced from Astral called uv. It's like pip, but 100x faster. Charlie Marsh from Ruff fame and founder of Astral is here to dive in. Let's go.
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Do you have data that you pull from external sources or is generated and appears at your digital doorstep? I bet that data needs processed, filtered, transformed, distributed, and much more. One of the biggest tools to create these data pipelines with Python is Dagster. And we are fortunate to have Pedram Navid. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python.
Interested in data science but you're not quite working in it yet? In software, getting that very first job can truly be the hardest one to land. On this episode, we have Avery Smith from Data Career Jumpstart here to share his advice for getting your first data job.
Do you know what custom GPTs are? They're configurable and shareable chat experiences with a name, logo, custom instructions, conversation starters, access to OpenAI tools, and custom API actions. And, you can build them with Python! Ian Maurer has been doing just that and is here to share his experience building them.
One of my go-to podcasts for commutes!Whether your just taking an interest in Python or are an experienced developer, this podcast seems to cater equally well to both types. Consistency engaging and interesting topics and really helps you stay connected to what is going on in the Python world. Thanks Michael!
Best Python podcast!Thank you Michael - listen to each show - your professional editing and style is something a lot of podcasts should emulate.
Interesting and entertainingI'm an avid listener of podcasts going way back before this was a big thing. This is one of those special gems worth listening to, learn something new or remind me of what is possible in Python.
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