def func():
money = int(input("How much money will you have on holiday? "))
print("You will have {} euros.".format(int(money * 1.11)))
money = int(money * 1.11)
fifty = 0
twenty = 0
ten = 0
five = 0
while True:
if money - 50 >= 0:
fifty += 1
money -= 50
elif money - 20 >= 0:
twenty += 1
money -= 20
elif money - 10 >= 0:
ten += 1
money -= 10
elif money - 5 >= 0:
five += 1
money -= 5
if money < 5:
print("You will have {} fifties, {} twenties, {} tens, {} fives, and {} ones".format(fifty, twenty, ten, five, money))
return
func()
I hope this helps!
Answer:
<u>Flash player is a plug-in</u> created by Adobe used to run multimedia content and internet applications through your web browser.
Explanation:
<u><em>taken from Wikipedia:</em></u>
"Adobe Flash Player is computer software for content created on the Adobe Flash platform. Flash Player is capable of viewing multimedia contents, executing rich Internet applications, and streaming audio and video. In addition, Flash Player can run from a web browser as a browser plug-in or on supported mobile devices."
<u><em>taken from flash player faq website:</em></u>
"Adobe supports the latest version of Flash Player available. Older versions of Flash Player are not supported and all users are strongly recommended to update to the latest version to receive all security updates available. Support for Flash Player will continue until December 31st, 2020"
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
Hardening is the technique of reducing security exposure and tightening security controls of software and network devices.
Security is a major concern, when connecting over a network. Through hardening, security of a network is protected from vulnerable activities. Hardening reduces exposures associated with security and provides tight controls for it.
Hardening is typically a collection of tools and techniques that are used to decrease vulnerability in computer software, applications, network devices and infrastructure. The main goal of hardening is to protect security by identifying and eliminating superfluous programs, applications, permissions and access, which in turn, reduces the chances that attackers and malware will gain access over the network ecosystem.
You can learn more about hardening at
brainly.com/question/27912668
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