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.
The relatively recent introduction of async and await as keywords in Python have spawned a whole area of high performance, highly scalable frameworks and supporting libraries. One such library that has great async building blocks is Omnilib.
If you are involved in science or use computational tools in your work, you should be using code to solve your problem. On this episode, we have Dr. Becky Smethurst who's an astrophysicist at Oxford University. She uses Python to explore galaxies and black holes.
I'm sure you're familiar with data science. But what about data engineering? Are these the same or how are they related?