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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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2 Multiline Commenting Ideas in Python

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Here are two ways you can comment out multiple lines in python. Python Multiline Comments These are two popular methods Viz Backslash and Triple quote methods. 1. Backslash method >>> s = "This is a test of the emergency broadcast system" \ … " and it will display an emergency if you put a line of text" \ … " that is more than 80 characters on a single line" >>> print(s) This is a test of the emergency broadcast system and it will display an emergency if you put a line of text that is more than 80 characters on a single line 2. Triple quote method >>> s1 = """ This is a test of the emergency broadcast system. … and it will display an emergency if you put a line of text … that is more than 80 characters on a single line … """ >>> print(s1) This is a test of the emergency broadcast system. and it will display an emergency if you put a line of text that is more than 80 characters on a single l
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How to Explain String Immutability in Python Correctly

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Here is an answer to explain the immutability of Strings in Python. It means that you can't modify the string. Due to this, you can use strings securely in many places of your project. How to check string immutability Here is an example. In the python shell, assign a value of your choice to a string. Here my choice is ABCD, and I have assigned it to myString. I have tried to replace A with Z. But, it gave an error due to the immutability of strings. >>> myString = 'ABCD' >>>myString [0] = 'Z' What is learning here The strings immutability is an interview question. In interviews, you can say that strings are immutable, and you can't replace its data. Benefits of strings immutability It saves a lot of time since the data in strings are immutable. It results in high performance. String objects you can reuse as no one can modify its value. Strings are elemental. So no activity can change its value ( these are more like numbers). References Powerful
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