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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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Smart Cities: 16 Top Job Roles You need to Know

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Why IOT skill you need: There are currently 18.2 billion connections to the internet throughout the world, and this will increase to 50 billion by 2020. The amount of data being transmitted via these connections has grown from 3ZB (3,000,000,000,000,000,000,000 bytes) in 2010 to 10ZB (10,000,000,000,000,000,000,000 bytes) this year, and it is predicted to reach 40ZB (40,000,000,000,000,000,000,000 bytes) by 2020.


IOT for Smart Cities to better use technology:




New Type of Skills


Internet of everything has the potential to reach $19 trillion of value by 2022, and it "has the potential to grow global corporate profits by 21% in 2022".It's exponentially increasing.

In a smart city, "every single sector has to get technology fluent and it has to get digital fluent to drive long-term prosperity,". This is an issue that both the public and private sectors need to get behind and to transform how they think and how to get people ready for the jobs to solve these problems.

"We need new types of skills, new types of talent to make this happen. The agenda of cities is to attract the best companies and the best talent. Innovation, the ability to drive new business, the ability to drive new ways to bridge public and private sectors ... this is all part of the master plan for generating new smart cities,".

Before a city can become a smart city, it needs to first build out infrastructure. And this takes people who have the job skills to make it happen, both building the infrastructure and leveraging the data that is collected from the technology added to a city.

16 Top Job Roles

  1. Robotics specialist
  2. Cybersecurity analyst
  3. 3D print technician
  4. Virtual reality design
  5. Network programmer (SDN)
  6. Machine learning scientist
  7. Industrial network engineer
  8. Customer makers
  9. Neuro implant technician
  10. Digital anthropologist
  11. Platform developer
  12. Business transformation practitioner
  13. Cloud architect
  14. Data scientist
  15. Urban innovation
  16. Urban mechanics
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