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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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5 Ideas to Spark Your Career Growth Quickly

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Lot of job prospects are available for cloud computing skill sets. Every analyst firm, from Gartner to IDC to Forrester and many others have released relative numbers claiming that cloud computing will grow revenues in the gazillions over the next five to ten years, creating millions of direct programmer jobs and many new jobs we don't even know about yet.
cloud computing

The future of cloud computing

It is surely lead the market, since all the digital technologies using cloud computing. So, the prospects are bright. Huge opportunities ahead for cloud computing engineers

According to research sponsored by Microsoft, and conducted by IDC in 2012, spending on public and private IT cloud services will generate nearly 14 million jobs worldwide from 2011 to 2015. 

And according to the 2012 Gartner CIO Agenda Report, the top three priorities for that year were analytics and business intelligence, mobile technologies, and cloud computing.

 Read more: Learn Cloud
  • Regardless of the industry, the technological transformations have been astounding, with all things now social, mobile, and cloud computing, just to name a few tech fields.
  • And what's been cool to watch is how these technologies have helped to innovate the very talent-acquisition and talent-management software systems that are used to recruit, hire, onboard, and develop tech pros like you. 
  • These technologies are all about getting to the "short list" of qualified applicants faster and more accurately, as well as managing more accurately, faster, and better all the employee life-cycle data.
  • Cloud computing hasn't completely replaced legacy ERP software systems like Oracle or SAP but there's a reason Oracle and SAP have been buying up the cloud-based companies that have gotten the formula right. It's why Workday, a totally cloud-based human capital management platform, is taking on the big boys by going public as well this year.

Promising Careers

  1. Cloud Computing
  2. Robotics
  3. Internet of Things
  4. Genetic Engineering
  5. Mobile Technologies
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