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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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7 Amazing Ideas to Make Resume for First Job

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Resume writing is a skill. Out of a thousand applications, only a few would shortlist for the next process. Here are my ideas to provide in your resume before you send it out.


7 Top Resume Ideas Worth to Read

Resume format

How to make resume format
  • Give Mobile number and E-mail on the top of your resume.
  • Use MS-word to format it.
  • Organize information using bullets wherever the need.
  • Check Spell and Grammar.
  • Two pages are ideal for any type of job.

7 Amazing ideas

Detailed resume ideas
  1. Provide genuine-experience.
  2. Transferable skills such as Public-speaking, Customer-communication - good to mention.
  3. Provide previous experience in reverse order - last-in-first.
  4. Keep educational qualification after the experience.
  5. No need to mention weaknesses.
  6. Add awards you received during your employment.
  7. Not required salary details.

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