Technology is addicting and distracting, just take personal experience. Have you ever had a time when you were on the computer, on the phone, playing games, watching TV, etc. and time flew by? You were procrastinating and should have been doing something else? Were you ever multitasking and paid more attention to technology than what you should be doing? If so, then you have your answer, and from your own experience as well.
In addition to good design sense, web designers need to be proficient in front-end coding languages.
A web designer refers to an individual who is saddled with the responsibility of writing executable codes (instructions) for the design and development of a website, especially by using a hypertext markup language (HTML).
Generally, it is expected that all web designers a good design sense in website development. Additionally, web designers need to be proficient in front-end coding languages, so as to ensure the graphical display and user-interface (UI/UX) are attractive and properly rendered.
Some examples of front-end coding languages include:
Read more on web design here: brainly.com/question/8391970
Segundo o padrão da National Institute of Standards and Technology a alternativa correta é a letra E) 400 músicas. Segundo o padrão disposto acima, dois Giga Bytes equivalem à dois mil Mega Bytes, assim, se cada música tem exatos 5MB, podemos chegar ao total de músicas que podem ser gravadas em um PenDrive de 2GB livres do seguinte modo :
A evolução da microeletrônica possibilitou uma capacidade de armazenamento cada vez maior a cada ano. O desenvolvimento de novas tecnologias na área permite também que os produtores possam produzir músicas, fotos e vídeos com cada vez mais qualidade (consequentemente mais pesada).
D. A window the rest are incorrect
Answer:
Time Complexity of Problem - O(n)
Explanation:
When n= 1024 time taken is t. on a particular computer.
When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.
When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.
It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).
If we double the speed of original machine then we can solve problems of size 2n in time t.
