Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, created by Miguel Sanda, which can do just that.
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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.
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.
Every time I learn something newEvery time I listen to a Michael Kennedy Podcast, I learn something new. It’s so educational just hearing the interviews. Genuinely going in depth about different subjects in the world of coding - from a Python perspective. Great guest! So much insight. 💙
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.
Yay! A great Python podcast!Michael Kennedy does a wonderful job of finding interesting creators and users of obscure, and sometimes popular, Python packages. Each episode is a view of the Python world through a different lens. Thank you Michael.
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