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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par
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3 Top Books to Read for Data Analytics

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The financial domain has openings for analytics jobs. The top financial domains are Banking, Payments, and credit cards. 


The skills you need to work in data analytics are SAS, UNIX, Python, and JavaScript. I have selected three books for beginners of data analysts.

The Best Books are on:
  1. SAS
  2. UNIX
  3. Python 


3 Top Books Every Analytics Engineer to Read
3 Top Books to Read for Data Analytics

1. SAS best book 


I found one best book that is little SAS. This covers examples and complex macros you need for your job.

The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming.

Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche, and Susan Slaughter, to provide a new way to challenge and improve your SAS skills through thought-provoking questions, exercises, and projects.

2. UNIX book


The basic commands you will get everywhere. The way of executing Macros or shell scripts is really what you need. This is a good book so that you can automate the tasks.

3. Python book 


Python is a popular language and highly in demand for data analysis jobs. Python Core programming skills are highly needed.


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