Vaex - Fast data frame for Data Science (Handle billion rows in seconds)

Vaex - Fast data frame for Data Science (Handle billion rows in seconds)

In this video, I will be showing you how you can use the Vaex Python library that is to handle billion of rows in a matter of seconds. Vaex is an out-of-core DataFrame that works similar to Pandas and allows you to visualize and explore big tabular datasets. Vaex also allow the calculation of statistical parameters such as mean, sum, count, standard deviation, etc, on an N-dimensional grid for more than a billion samples/rows per second.

In this video, I will be showing you how you can use the Vaex Python library that is to handle billion of rows in a matter of seconds. Vaex is an out-of-core DataFrame that works similar to Pandas and allows you to visualize and explore big tabular datasets. Vaex also allow the calculation of statistical parameters such as mean, sum, count, standard deviation, etc, on an N-dimensional grid for more than a billion samples/rows per second.

๐Ÿ‘‰ Code https://github.com/dataprofessor/python/blob/main/vaex.ipynb ๐Ÿ‘‰ Install: pip install vaex. conda install -c conda-forge vaex ๐Ÿ‘‰ Documentation https://vaex.io/docs/ ๐Ÿ‘‰ GitHub https://github.com/vaexio/vaex

๐Ÿ”” Subscribe:https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q

vaex python data-science

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