<span>In general you want to use the cheapest storage medium who's speed is compatible with the function it needs to perform. For active storage that's handled while running programs, you need memory whose speed is closely matched to the processor speed. And that would be the rather expensive semiconductor memory which is close to ideal for the task. But semiconductor memory has the disadvantage of being expensive and it loses the values stored when power is lost. So slower, persistent storage is used such as SSD (Solid State Drives) and hard disks. That media is cheaper, but slower, but still fast enough to handle tasks such as loading programs and data into memory for execution, or storing data generated by programs to persistent storage. But as with all man made things, disasters happen. Computers break down, hard disks crash, floods and fires happen, etc., and as a result data is lost. So we make backups. Backups have to have a lot of storage and they have to be cheap. But they don't need rapid access, you can start at the beginning and read (or write) all the way to the end. And for that purpose, magnetic tape is ideal. Magnetic tape is actually quite fast when you're simply streaming a continuous stream of data without any need to randomly access any piece of that data. And it's cheap, so you're willing to make a back up copy of your system and store that backup off site so a single disaster won't destroy both the primary system and the backup.</span>
NumPy is the key scientific Python computing package. This makes things simpler to display large numbers of data in advanced maths and other operating types. These operations are typically extra efficient and less code-based than that of the built-in sequences in Python are possible, and the further discussion can be defined as follows:
- It offers a multidimensional array object, as do variations such as masks and matrixes that can be used for different mathematical activities.
- It is an external library of basic levels in Python used for complex mathematical procedures.
- It has integrated functions that <em><u>convert various algorithms into arrays</u></em>.
So, the answer is "NumPy".
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Answer:
The 802.11ac wireless standard takes channel bonding to a higher level because it can support 20MHz, 40MHz, and 80MHz channels, with an optional use of 160MHz channels.
Explanation:
The 802.11ac is a standardized wireless protocol established and accepted by the institute of electrical and electronics engineers (IEEE). 802.11ac as a wireless local area network (WLAN) protocol, has multiple amplitude and bandwidth, thus making it to be the first standard wireless protocol to have the ability to operate on a Gigabit (Gb) network.
Generally, the 802.11ac wireless standard provides an advantage over 802.11n by incorporating increased channel bonding capabilities. The 802.11ac wireless standard takes channel bonding to a higher level because it can support 20MHz, 40MHz, and 80MHz channels, with an optional use of 160MHz channels.
<em>On the other hand, 802.11n is a standardized wireless protocol that can support either a 20MHz or 40MHz channel. </em>
An Average of 10 times faster.
Hope this helps!
Answer:
Function signature can be defined as a combined term used to refer to the function name, function return type, no of arguments , type of arguments.
Explanation:
The signature of function is seen as a combined term used to refer to the function name, function return type, number of arguments , type of arguments.
When overloaded functions is been defined, they are different in numbet of arguments or type of argument passed.
To understand this better refer to the program code below.
C++ code.
#include <iostream>
using namespace std;
int multiply(int a, int b)
{
cout << a*b <<endl;
return 0;
}
int multiply(int a, int b, int c)
{
cout << a*b*c <<endl;
return 0;
}
int main()
{
//function with two arguments passed
multiply(3, 50);
//function with three arguments passed . It is different in number of arguments passed. Thus here function signature is different
multiply(4, 20, 10);
}
