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3 Killer Alternatives To Pandas For Pythonic DataFrames
Spice up your data by trying out some of the OTHER data-frames available in Python.
It is likely that most Pythonic Data Scientists are familiar with Pandas Dataframes. Pandas is an industry standard Python module that many Data Scientists have called their go-to over the years. That being said, the Python ecosystem is absolutely massive with over 300,000 packages currently registered to PyPi. With that in mind, it is easy to see why there might be other modules with different capabilities that can be used as an alternative to Pandas. Of course, the idea of tackling Pandas is somewhat difficult to swallow, because Pandas is the industry standard and is unlikely to be dethroned as that anytime soon. However, a lot of these packages bring some alternative functionality and performance benefits to the table that might make them great choices for certain projects!
Dask
Dask is a module that is very well-used in the Python world. The module is a valuable asset because Python was never built with parallel computing in mind, and Dask acts almost as a buffer between the language and parallel computing that can sometimes be challenging in a language that was not necessarily built with the concept in mind. Not only is the Dask module itself pretty…
