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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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The global forecast for the Asian markets is murky following recent volatility, with crude oil prices providing support in what has been an otherwise tough month. The European markets were down and the U.S. bourses were mixed and flat and the Asian markets figure to split the difference.The TSE finished modestly lower on Friday following losses from the financial shares and property stocks.For the day, the index sank 15.09 points or 0.49 percent to finish at 3,061.35 after trading between 3,057.84 and 3,089.78. Volume was 1.39 billion shares worth 1.30 billion Singapore dollars. There were 285 decliners and 184 gainers.

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