Last Updated on
Podcasts are a great way to stay informed about the latest advancements, documenting the currents and attitudes of the Python community.
Best Python Podcast – 2019 Updated
Here is an up-to-date list of regularly updated best Python podcasts loaded with Pythonic goodness.
Talk Python to Me
Talk Python To Me is a weekly Python Podcast hosted by Micheal Kennedy.
If you are using Python in the field of Data Science or Machine Learning, this is probably a useful podcast to listen to.
The show introduces frameworks and personalities that are very important within the Python community.
You can Listen here
Podcast._init_
Podcast._init_ by Tobias Macey is a weekly podcast about Python and the people who make it great.
This is a great and highly informative Python podcast, with consistently interesting guests who give away the best resources and present thoughtful content.
The show is the best for giving developer insight and is a great podcast about what is happening in the Python community.
You can Listen here
Test & Code
Test & Code by Brian Okken is a regularly updated Python podcast focused not just on testing but programming education, the Python community, and more.
The conversational tone of the show makes it enjoyable to listen to and the hosts keep things interesting and varied week by week with the latest Python news
You can Listen here
Python Bytes
Python Bytes by Michael Kennedy and Brian Okken is a shorter (20 minutes or so) weekly podcast on headlines and noteworthy news in the Python, developer, and data science space.
The show is a great way to learn about what is going on in the python world and not having to be glued to your screen anymore.
You can Listen here
Always Share & Learn!
If you liked this article, I’ve got a practical reads for you. One about Best Python for Data Science Courses from World-Class Educators and One about Learning How to Learn Data Science.
You may also be interested in using a Python Cheat Sheets to grasp the fundamentals for long-term benefits.
I’ve also got this Data Science Newsletter that you might be into. I send a tiny email once or twice every quarter with some useful resource I’ve found.
Don’t worry, I hate spam as much as you. Feel free to subscribe. ☟