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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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IoT In Healthcare Top Skills You Need

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IoT and multimedia technologies have made their entrance into the healthcare field thanks to ambient-assisted living and telemedicine.

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Role of Smart Devices


Smart devices, mobile Internet, and Cloud services contribute to the continuous and systematic innovation of Healthcare and enable cost-effective, efficient, timely, and high-quality ubiquitous medical services.


Skills You  Need Data Analytics Cloud Computing Security Smart Device


"Pervasive healthcare applications generate a vast amount of sensor data that have to be managed properly for further analysis and processing." The adoption of Cloud in this scenario leads to the abstraction of technical details, eliminating the need for expertise in, or control over, the technology infrastructure, and it represents a promising solution for managing healthcare sensor data efficiently.


It further makes mobile devices suited for health information delivery, access, and communication, also on the go, enhancing medical data security, availability, and redundancy. 

Moreover, it enables the execution (in the Cloud) of secure multimedia-based health services, overcoming the issue of running heavy multimedia & security algorithms on devices with limited computational capacity and small batteries. 

Health care trends
IoT


In this field, common issues related to management, technology, security, and law have been investigated: interoperability, system security, streaming Quality of Service (QoS), and dynamically increasing storage are commonly considered obstacles.

The IT skills greatly you need are:

  • Data analytics
  • Cloud computing
  • Smart devices applications
  • Security

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