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It is a lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.

It calculates statistics such as mean, sum, count, standard deviation etc., on an N-dimensional grid for more than a billion (10^9) samples/rows per second.

Visualization is done using histograms, density plots and 3D volume rendering, allowing interactive exploration of big data.

Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).

The data pipeline on your laptop will be super fast.


$ πš™πš’πš™ πš’πš—πšœπšπšŠπš•πš• 𝚟𝚊𝚎𝚑

GitHub: https://github.com/vaexio/vaex



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It is a lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.

It calculates statistics such as mean, sum, count, standard deviation etc., on an N-dimensional grid for more than a billion (10^9) samples/rows per second.

Visualization is done using histograms, density plots and 3D volume rendering, allowing interactive exploration of big data.

Vaex uses memory mapping, zero memory copy policy and lazy computations for best performance (no memory wasted).

The data pipeline on your laptop will be super fast.


$ πš™πš’πš™ πš’πš—πšœπšπšŠπš•πš• 𝚟𝚊𝚎𝚑

GitHub: https://github.com/vaexio/vaex

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Cryptoassets enthusiasts use this application for their trade activities, and they may make donations for this cause.If somehow Telegram do run out of money to sustain themselves they will probably introduce some features that will not hinder the rudimentary principle of Telegram but provide users with enhanced and enriched experience. This could be similar to features where characters can be customized in a game which directly do not affect the in-game strategies but add to the experience.

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