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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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Data Analytics Engineers - Salaries

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Data Analytics Engineers - Salaries
#Data Analytics Engineers - Salaries and career options:
Some key skills which are very crucial for an employee these days are the ability to communicate disruptive ideas, multi-disciplinary skills with appropriate depth of specialisation, learnability and resilience," said Prithvi Shergill, chief human resources officer, HCL Technologies, the country's fifth-largest technology company.

So, an engineer with 2-3 years' experience working in data analytics can expect a salary of Rs 4-6 lakh in India and $70-80,000 in the US or Europe. 
But without big data skills, the same engineer can earn only Rs 3-5 lakh, according to Anurag Gupta, chief operating officer at Magna Infotech, an IT staffing firm.

  • Experience of 5-6 years in data analytics can help an engineer command a salary of up to Rs 10-12 lakh in the domestic market, according to Kamal Karanth, India MD of staffing firm Kelly Services.
  • Firms like IPsoft, Happiest Minds and Mu Sigma, operating in automation, mobility and analytics solutions as well as cloud-based deployment, are competing in areas that are seeing the fastest growth for the country's IT players. Digital technologies contribute 5-10% of the industry's revenue, according to the National Association for Software and Services Companies.

New York-based IPsoft, which has a facility at Bangalore, pays employees with proficiency in data analytics up to 20% more than what it pays for engineers with proficiency in just coding. The privately-held company has 1,700 employees across 10 offices globally.

"There are fewer than 50,000 machine-learning scientists in the world today who can make sense of big data science," said Arnab Gupta, founder CEO of Opera Solutions, the New Jersey-based predictive analytics firm. Read more.

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