Build An Audio AI App Course, Plus Data Doodling
Michael here, writing you a more conversational email about what’s new at Talk Python To Me. This is something I going to try for a while rather than just headlines of new podcasts we’ve been sending to the friends of the show. « That’s you, thank you! I hope you enjoy this format.
It’s been a few weeks since you’ve heard from us. There have been some really excellent episodes released:
I talked with Charlie Marsh about his company’s amazing new pip like CLI tool called uv. Personally, this is something I adopted in about 4.2 seconds after learning about it. A bit hyperbolic, but barely. If you can use pip you can use uv and the benefits are really impressive. This is an important part of Astral’s larger plans to boost every Python developer’s workflow. It’s a great interview so give it a listen.
Another fun topic covered at Talk Python comes from the Django world. Sarah Boyce and Tushar Gupta are both involved in a project I think many open source communities should copy: Djangonauts. This is an accelerator, not for companies but for contributors. Their subtitle is “Where contributors launch”. Django leads the way in Python open source community and this is just another example. See what Sarah, Tushar, and I spoke about on Talk Python.
The last episode I want to highlight is about turning your open source work into your full-time job/project/company. We had a panel of Python all-stars and the conversations and stories about their journeys were fascinating.
There are a couple of other big things I want to tell you while you’re before we end this email.
Two new courses at Talk Python:
Last week I released a new course called Build An Audio AI App. It uses FastAPI, MongoDB, and HTMX + AssemblyAI’s APIs to build a super fun web app that lets you turn podcasts into conversational knowledge-bases. And it’s 100% free, so have a look. I hope you love it.
We also just released (but haven’t announced yet) a really awesome course called Rock Solid Python with Python Typing. This is one of my favorite classes I’ve created in the last year or two. Python type hints are really starting to transform Python, especially from the ecosystem’s perspective (think FastAPI, Pydantic, etc.). This course shows you the ins and outs, but also gives you guidance on when and how to use type hints. Check it out.
The doodles have been drawn: Finally, back in February, I told you about our special YouTube only event (more to come BTW) named Data Doodling with Martina Pugliese. Well that was a really nice and visually engaging event and the video is out, so if you didn’t get a chance to attend, do watch the recording if you’re into data visualization.
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