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The Quick and Easy Way to Analyze Numpy Arrays

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

These Lovely Skills You Need to Enter as Data Architect

We can analyze data quickly now. The data can be any size. The basic skills you need are R language skills and Machine learning for analyzing the data. MapReduce Techniques The MapReduce techniques and parallel processing in Hadoop allow us to cheaply and efficiently implement MapReduce on Internet scale problems. We use SQL like tools Pig and Hive. NoSQL We analyze so-called NoSQL storage solutions exemplified by HBase for their critical features: speed of reads and writes, data consistency, and ability to scale to extreme volumes. Data Architect Requirements Data architects develop, analyze and administer data for businesses, schools and other organizations. They need sophisticated design and development skills to collect data and translate it for use in computer applications and systems. Most data architects have a bachelor's degree in information technology (IT), as well as years of experience in the IT field. Experience with programs such as Microsoft Excel, Ac