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.
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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.
Awesome Python GoodnessThis is the podcast that got me into listening to nearly only technical ones. All the episodes are fun and informative, and I can't recommend it enough for every Pythonista (and others).
15 Top-Notch Podcasts for Programmers & Software DevelopersTalk Python to Me blows all other Python-related podcasts out of the water. The host is great, the format is great, the guests are great - there's a lot to love about it, including the actual content, which is immensely useful for Python developers.
Again it was Talk PythonAnd again it was Talk Python who led me to this discovery. Highly recommend anyone that have a few months of Python development experience to give this a listen. Very casual, yet professional and thoroughly useful.
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