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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

Social Media Jobs You need to look in

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Social media has transformed the way people socialize, network and stay in touch. Social Media Jobs Social media is more than liking or retweeting a post; it's a new, cutting-edge marketing medium with unlimited potential. According to Constant Contact's Small Businesses: Then and Now Survey conducted in May 2013, social media marketing has exploded, with 87 percent of small businesses using social media as a marketing tool today. Since social media marketing requires a combination of analytical skills, good communication and performing extensive research, you can bet business, communications and English-related degrees are good candidates for 2014 social media job openings. Explore the new frontier of marketing with these six up-and-coming social media positions: Search engine optimization (SEO) specialist Social media strategist Online community manager Social media marketing manager Social media marketing coordinator Blogger or social media copywriter