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 on the show this episode. Pedram is the Head of Data Engineering and DevRel at Dagster Labs. And we're talking data pipelines this week at Talk Python.
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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.
We've spoken previously about security and software supply chains and we are back at it this episode. We're diving in again with Charles Coggins. Charles works at a software supply chain company and is on to give us the insiders and defender's perspective on how to keep our Python apps and infrastructure safe.
The best python podcast I’ve ever encounteredThank you for the deepest python podcast I’ve ever met! I’m learning a lot by just listening to it! Cheers.
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!
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.
Talk Python to Me is a weekly podcast hosted by
Michael Kennedy.
The show covers a wide array of Python topics as well as
many related topics.
The format is a casual 1-hour conversation with industry
experts.
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