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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 <h3>Import dask and specifically dataframe class</h3>
Dask is a thread process scheduler and ...
Step1:  <h1>MISSING SEPERATOR ARGS FOR SPACE DELIMITED FILE!!!</h1>
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Python Code:
import numpy as np
x = np.arange(25)
x
x = da.arange(25, chunks=(5,))
y = x ** 2
y
y.visualize()
da.sqrt(x)[-1].visualize()
x = da.arange(250, chunks=(5,))
x.visualize()
x = da.ones((15, 15), chunks=(5,5))
x.sum(axis=1).visualize()
import dask.multiprocessing
y.compute(get = dask.multiprocessing.get)
import dask.dataframe as dd
cols = ['square_id', 'timestamp', 'country_code',
        'sms_in', 'sms_out','call_in','call_out', 'internet']
dtypes = {'square_id': int, 'timestamp': int, 'countrycode': int, 
          'sms_in': float,'sms_out': float, 'call_in': float, 'call_out': float, 'internet': float}
df = dd.read_csv?
df = dd.read_csv
Explanation: <h3>Import dask and specifically dataframe class</h3>
Dask is a thread process scheduler and ...
End of explanation
df_a = dd.read_csv('data/split/*.csv', header=0, names=cols, dtype=dtypes, sep="\t")
Explanation: <h1>MISSING SEPERATOR ARGS FOR SPACE DELIMITED FILE!!!</h1>
End of explanation
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