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.
Finance - risk guyHey, I'm a finance and risk guy that is newer to Python, was using excel vba macros but once I saw the power and possibilities of Python, have been hooked ever since. Love the podcast, I think I am a wannabe developer, maybe some day, haha. Take it easy.
Great additionFinally, a great python podcast. Highly informative.
Always interesting and informativeI'm really enjoying this podcast. Both the host and the guest have been excellent. The production quality is high. Overall this is one of the best podcasts I've heard.
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