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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

3 Best Methods to Read Files in Python

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Python supports three specific methods to read files- read, readline, readlines. All these you use on files. Each has its unique purpose. Below are the best examples. 3 Methods to read file read readline readlines Method-1: read It reads records from file in sequence. Here, file.txt is sample file with single row. file.txt abcdefghijk file_object.read(2) ==> you will get 'ab' file_object.read(4)  ===> you will get 'cdef' Here, the multiple read methods read the data in sequence. The read(x) method will read only the number of characters that mentioned in the read method. Again, if you give multiple read methods then it will read in sequence. Method-2: readline It reads the file line by line. Here, file.txt is a file with single row. file.txt abcdefghijk f ile_object.readline() ==> you will get ' abcdefghijk ' Here, it reads the file line by line. Method-3: readlines It reads all the records at a time. Here, file.txt is a file with two rows. file.txt ab