numpy.tril (a, k = 0): returns a copy of the array with the bottom of the triangle relative to k
a: input array k: [int, optional, 0 by default] Diagonal we require; k & gt; 0 means diagonal above main diagonal or vice versa.
Lower triangle of a, having same shape and data-type as a.
Main Diagonal elements: [[1 0 0] [63 434 0] [54 54 56]] Diagonal above main Diagonal elements: [[1 21 0 ] [63 434 3] [54 54 56]] Main Diagonal elements: [[0 0 0] [63 0 0] [54 54 0]]
These NumPy-Python programs will not run by onlineID, so run them on your systems to study them
This article is provided by Mohit Gupta_OMG
In the summer of 2008, after three decades of building software in corporate data centers, I walked away from corporate America to take a stab at building a technology company from the ground up based...
Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM), 2nd Edition. Execute Data Quality Projects, Second Edition presents a structured yet flexible approach to cr...
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD. Deep learning is often seen as the exclusive domain of math PhDs and big tech companies. But as this how-to guide sh...
The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data-quickly and with a high quality. The intent is to cover the theory, research, develo...