Pandas is at a the core of virtually all data science done in Python, that is virtually all data science. Since it's beginning, Pandas has been based upon numpy. But changes are afoot to update those internals and you can now optionally use PyArrow. PyArrow comes with a ton of benefits including it's columnar format which makes answering analytical questions faster, support for a range of high performance file formats, inter-machine data streaming, faster file IO and more. Reuven Lerner is here to give us the low-down on the PyArrow revolution.
Full details »
What trends and technologies should you be paying attention to today? Are there hot new database servers you should check out? Or will that just be a flash in the pan? I love these forward looking episodes and this one is super fun. I've put together an amazing panel: Gina Häußge, Ines Montani, Richard Campbell, and Calvin Hendryx-Parker. We dive into the recent Stack Overflow Developer survey results as a sounding board for our thoughts on rising and falling trends in the Python and broader developer space.
Excellent content each episodeThank you for taking the time to share you knowledge and encourage growth in the software development and testing community.
Just subscribeOne of the few programming podcasts that I enjoy every week. There's always one package or tip that's helpful to know. Thank you guys!
Better than music!I've been in love with this podcast since this winter. Even though it talks about technical topics, it is so enjoyable that I listen to it even while working out or going for a run, often preferring it to music.
Talk Python to Me is a weekly podcast hosted by
Michael Kennedy.
The show covers a wide array of Python topics as well as
many related topics.
The format is a casual 1-hour conversation with industry
experts.
Have feedback for the show? Send it to
contact@talkpython.fm.
We'd love to hear from you.
We are always on the look out for exciting topics to bring
to you on Talk Python To Me. We could use your help!
Do you have a great idea for a show? Do know a dynamic Python
personality who we should be speaking to? Send us an email!