Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
HTMX - Clean, Dynamic HTML Pages
Have you wanted to add more interactivity and liveness to your web application? If you built it using Flask, Django, or some other Python web framework, that thought probably didn't fill you with joy. Because it might mean that you need to change a bunch of code and rewrite a significant bit of your app using a full-on front-end framework like Vue.js or React.js.
Python in the Electrical Energy Sector
In this episode, we cover how Python is being used to understand the electrical markets and grid in Australia. Our guest, Jack Simpson, has used Python to uncover a bunch of interesting developments as the country has adopted more and more solar energy. We round out the episode looking at some best practices for high-performance, large-data processing in Pandas and beyond.
Typosquatting and Supply Chains Vulnerabilities
One of the true superpowers of Python is the libraries over at the Python Package Index. They are all just a "pip install" away. Yet, like all code that you run on your system, it is done with some degree of trust. How do we know that all of those useful packages are trustworthy? That's the topic of this episode. Bentz Tozer and John Speed Meyers are here to share their research into typosquatting on PyPI and other sneaky deeds. But we also discuss some potential solutions and fixes.
Measuring your ML impact with CodeCarbon
Machine learning has made huge advancements in the past couple of years. We now have ML models helping doctors catch disease early. Google is using ML to suggest traffic routes in their maps app that will lesson the amount of gasoline used in the trip. And many more examples. But there is a heavy cost for training machine learning models.
Python at the US Federal Election Commission
When you think of government software development and projects, do you fast apps and modern tech stacks jump to mind? Probably not. So you'll be delighted to hear from our guest, Laura Beaufort. She's the Tech Lead at the US Federal Election Commission.
Flask is one of the most popular Python web frameworks. And they have huge news to share with us. Flask 2.0 just released after a ton of work. And it's as big of a deal as the version number suggests. Async changes are coming, Python 3.5 and below (including Python 2) support has been dropped and much much more. Join me as I discuss Flask 2.0 with David Lord and Philip Jones.