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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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APPIAN, PEGA, Oracle BPM Tools-Career Options

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Gartner recently broadened the definition of BPM, recasting it as a management practice that provides for governance of a business's process environment toward the goal of improving agility and operational performance.

Business Process Management

This more holistic view offers a structured approach for optimizing processes and takes into account the software tools discussed above as well as an organization's methods, policies, metrics, and management practices.

According to Gartner, BPM is about becoming a process-managed organization, which requires the following disciplines (in addition to Information Technology.

Appian BPM is a business process management solution that can help users to manage work automation, business processes and social collaboration across the enterprise for customers, employees, and systems.

General Skills Need for a BPM developer

  • BPMN 
  • JavaScript 
  • SQL 
  • HTML 
  • CSS 
  • SOAP 
  • Web services standards 
  • XML 
  • XPATH 
  • XSLT 
  • LDAP/AD

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