How To Read And Process Huge Datasets in Seconds Using Vaex Library| Data Science| Machine Learning

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Vaex, first listen from your vedio sir, awsome sir, thanks sir to provide such usefull knowledge

gurdeepsinghbhatia
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This is close to madness. Wonderful library 👏

harshtamkiya
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I heard about vaex for the first time in this video...I heard about dask...as mentioned please do the video on dask as well...Thank you Krish...for everything you are doing for community...

varagantimanjula
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Thanks Krish...u r my idol..to interest towards data science...just because of u...

shivanandprasad
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Great explanation .Need to practice in Jupiter notebook.Thanks

sandipansarkar
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Hi ! Can You Make One Video On Dask For Extracting 40gb+ dataset ?

saumojitbhattacharjee
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Can we further pass this data into model training.

devkaranjoshi
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Please sir, why your book still not available in amazon..I really need to buy it ..thank you

وصفاتالدكتورعمادميزاب-كظ
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Hi please create a detailed playlist on pyspark, thanks in advance

souravbiswas
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Dear Krish Naik, I have tried to sorting data but I am getting error 'Hdf5MemoryMapped' object has no attribute 'sort_values'.

suneelkumarilli
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Thanks Krish! What do you hate about this library? That you think could be possibly improve.

dadoll
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Hey! I have already installed Vaex successfully but when I try to convert the csv file it shows error that " No module named 'vaex.hdf5' ".

ishwarashar
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When the data is too large like 4GB, it saves it in chunks of hdf5 files. Any idea how to read these? Should we read one by one and concatenate them?
Also, how to deal with object datatype when it comes to hdf5 files?

aptpatten
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Sir please complete docker remaining tutorials

ashishbhatnagar
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👍😊 but why we have to install in virtual environment ?

abhishekjn
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PLS TALK ABOUT IMP OF COMPETITVE PROGRAMMING!

nocode
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While converting a text file to hdf5 using VAEX, it will not maintain the same precision for each column as in text file, and I can not modify it. Please help me.

shreevani
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Hi Krish, I want to concatenate two CSV files I also want to edit a column value in each of the files before I concatenate. The file size of each file is about 200 MB with 1200 columns and 35000 rows. There are about 90 such pairs of csv files that I want to concatenate. Can this be done faster with Vaex than pandas? I did not see any improvement when I tried using dask. Thanks

prashanthardikar
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But how can i drop column or row in veax Library

abubakarsunny
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Can we read file resides on remote desktop using vaex.open?

megdesouza
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