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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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Python Syntax Errors Cheat Sheet

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Here's is the Python syntax errors cheat sheet. In Python, you can avoid errors, if you know syntax rules. These are missing semicolons, adding extra commas, and extra spaces. Further Python is case sensitive. So using the wrong identifier also will give error. Python Syntax Errors Cheat Sheet Indentation is unique to Python. You cannot find strict indentation in any other programming language. You need to focus on the three areas while writing a Python program. To avoid errors you need to learn indentation rules. Indentation or Syntax Errors Exceptions Handling Exceptions 1: Indentation If you do not follow the proper order, you will get an error. The details of one block shroud follow in one vertical line. The sub-block should be inside of that. In if loop, the IF, ELIF, and ELSE should have the same indentation. Not only, but the statement inside of them should also have the same indentation. Best Examples Understand these examples a good material on indentation for you. 2
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