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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

Hyperion: How to Learn as Alternative for Mainframe

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Oracle Hyperion is a reporting tool. Its applications are Capital management, Asset planning, Workforce planning and more. Photo Credit: Srini Books to Read on Hyperion The Oracle Hyperion Financial Reporting 11 covers all basics to learn financial reporting using Hyperion tool. The popular contents are Explore Grids and the Point of View Create Functions and Formulas Master Conditional Formatting and Conditional Suppression Create Dynamic Books and Batches Import Reporting Content into MS Office with Oracle Smart View

Oracle Hyperion Reporting Basic Tutorial

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Interactive Reporting is an extremely robust and powerful business intelligence tool providing ad-hoc querying, data analysis, dashboards, and other reporting capabilities. Oracle Hyperion Financial Management Business analysts access the software through the EPM Workspace, a central location for viewing and managing content across all of the Hyperion products. The product is extremely flexible and provides analysts with the ability to quickly analyze data and produce deliverables. The software provides a consistent platform for managing content, where documents can be customized, saved, and shared across an organization. What is BQY When working with Interactive Reporting, it is hard to escape the term BQY. BQY or BrioQuery, is the extension given to all Interactive Reporting document files. Developers create BQY files using the Workspace, Interactive Reporting Web Client, or Interactive Reporting Studio—a developer tool used to create and manage BQY documents outside