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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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Internet Of Things Awesome Basics You Need to Read Now: Part-2

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Internet of things(IoT) is a booming field, along with human intelligence. Across the world all software companies investing heavily on these platforms to grab opportunities coming ahead.

I want to give here various applications we can use IOT:

  1. For individual users, IoT brings useful applications like 
  2. home automation 
  3. security 
  4. automated devices monitoring and management of daily tasks.

For professionals,

  • automated applications provide useful contextual information all the time to help on their works and decision making. 
  • with sensors and actuators, operations can be rapid, efficient and more economic. 
  • Managers who need to keep an eye on many things can automate tasks connection digital and physical objects together. 
  • Every sector's energy, computing, management, security, transportation are going to be benefitted with this new paradigm. 

Vision

Development of several technologies made it possible to achieve the vision of the Internet of things. Identification technology such as RFID allows each object to represent uniquely by having a unique identifier.
Identity reader can read any time the object allows real-time identification and tracking. Wireless sensor technology allows objects to provide real-time environmental condition and context.
Smart technologies allow objects to become more intelligent which can think and communicate. Nanotechnologies are helping to reduce the size of the chip incorporating more processing power and communication capabilities in a very small chip.

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