Posts

Showing posts with the label XML

Featured Post

The Quick and Easy Way to Analyze Numpy Arrays

Image
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

How to Learn JSON XML and Simplify Your AWS Task

Image
JavaScript Object Notation (JSON) was invented by Douglas Crockford as a subset of JavaScript syntax to be a lightweight data format that is easily readable and writable by both humans and machines. In general, JSON is considered terse when compared to other interchange formats.  After you become familiar with JSON, you will find it fairly easy to read complex JSON data structures. Even though  JSON is based on a subset of the JavaScript programming language , it is considered language independent. JSON XML The flexibility of XML has made it increasingly prevalent in programming environments. Unlike the Unix® world, where configuration files are usually text files with either tab-delimited name/value pairs or colon-separated fields, configuration files in the open source world are often XML documents. Most well-known application servers also use XML-based configuration files. The Ant utility relies on XML-based files for defining tasks. Data Integration A tremendous amount of data in t