Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
I bet that everyone who browses on the net has seen a lot of advertisement pop-ups or redirect links or maybe something that slides into your screen. It might be something related to your previous searches, such as a bag you just saw on an online shopping platform or the ticket prices you had checked for your vacation plans. I understand how annoying it can get, especially when you’ve tried to close it many times, it just comes back to your screen again. These annoying ads and pop-ups are known as adware, also known as advertising-supported malware. Let us take ... Read More
To find the matrix product of a 2D and a 1D array, use the numpy.matmul() method in Python Numpy. If the first argument is 1-D, it is promoted to a matrix by prepending a 1 to its dimensions. After matrix multiplication the prepended 1 is removed.Returns the matrix product of the inputs. This is a scalar only when both x1, x2 are 1-d vectors. The out is a location into which the result is stored. If provided, it must have a shape that matches the signature (n, k), (k, m)->(n, m). If not provided or None, a freshly-allocated array is ... Read More
Every activity you do online is recorded and is permanent; once you're in it, there is no going back, be it a comment that you have posted on your friend's post or a photo you have shared online, everything is a part of your digital footprint. Advertisers and cybercriminals can use this information, including your IP address, usernames and passwords, and other identifying information, to create a digital trail or footprint that advertisers and cybercriminals can use to target you.So how can you delete or clean up this digital footprint of yours? We will be discussing all of it in ... Read More
To find the matrix product of a 2D and a 1D array, use the numpy.matmul() method in Python Numpy. If the second argument is 1-D, it is promoted to a matrix by appending a 1 to its dimensions. After matrix multiplication the appended 1 is removed.Returns the matrix product of the inputs. This is a scalar only when both x1, x2 are 1-d vectors. The out is a location into which the result is stored. If provided, it must have a shape that matches the signature (n, k), (k, m)->(n, m). If not provided or None, a freshly-allocated array is ... Read More
The Mac vs PC debate did not start in the recent past; it was present as long as I can remember, and both the parties have their points of upsides and downsides, but coming to security, which one is more resistant to cyber threats? Let us find out.Cybercriminals are ever-evolving; the cyber threats initially to Macs were far less than those to PC, but hackers always come up with a way to do their job and, recently, even with Mac. Macs are getting quite vulnerable, just like PC.While Macs' elegant look and simplicity contribute to their popularity, the lack of ... Read More
To find the matrix product of two arrays, use the numpy.matmul() method in Python Numpy. If both arguments are 2-D they are multiplied like conventional matrices. Returns the matrix product of the inputs. This is a scalar only when both x1, x2 are 1-d vectors.The out is a location into which the result is stored. If provided, it must have a shape that matches the signature (n, k), (k, m)->(n, m). If not provided or None, a freshly-allocated array is returned.StepsAt first, import the required library −import numpy as npCreate two 2D arrays −arr1 = np.array([[5, 7], [10, 15]]) arr2 ... Read More
Malicious software, or malware, is any software that causes damage to a computer system. Malware can take the shape of worms, viruses, trojans, spyware, adware, and rootkits, among other things, and can steal confidential information, erase documents, or install software that has not been allowed by the user.How Does Malware Get Past Security Software?Malware takes advantage of security flaws (bugs or vulnerabilities) in the operating system's design and applications (such as older versions of Microsoft Internet Explorer supported by Windows XP) and susceptible versions of browser plugins. Even installing new versions of such plugins does not always result in the ... Read More
To subtract arguments element-wise with different shapes, use the numpy.subtract() method in Python Numpy. The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an ... Read More
To multiply arguments element-wise with different shapes, use the numpy.multiply() method in Python Numpy.The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized ... Read More
To add arguments element-wise with different shapes, use the numpy.add() method in Python Numpy. The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an ... Read More