Showing posts with the label plsql

Featured Post

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

SQL PLSQL Top Reserved Keywords

To become perfect in PL/SQL is an art. Knowing of top reserved words helps you to be a master in SQL. Before you start knowing reserved words, wait one moment. The reserved words are similar to the words that you use in normal SQL. SQL, PLSQL Reserved Words PL/SQL Reserved Words A Video on Basic PL/SQL Basic PL/SQL Video Lesson for all professionals. Related Posts 32 Complex SQL Queries popular e-book Introduction to SQL and PLSQL by Ruchin Jain