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.
Best thing ever for a commuting PythonistThis podcast is a godsend. I have long commutes everyday and I always want to make the most out of my commutes. Talk Python podcast is the best product that serves my needs. I get to learn new technologies and keeping updated with the Python ecosystem every time listening to it. Great podcast! Keep it up!
Great content. Great host.The host is interesting and funny. The guests have been very interesting. The audio quality is pro level. Highly recommended.
15 Top-Notch Podcasts for Programmers & Software DevelopersTalk Python to Me blows all other Python-related podcasts out of the water. The host is great, the format is great, the guests are great - there's a lot to love about it, including the actual content, which is immensely useful for Python developers.
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