Warzone easily but gta a close second
Yea, I don’t think you can fix it unless you backed it up or something somehow...
Answer:
Static web pages are sent as it is at web server without being processed additionally.
Dynamic web pages content may change, and server hosting dynamic web pages return content after processing trough a program.
Examples of dynamic and static web pages are below
Explanation:
<em><u>dynamic websites</u></em>
f o o t y r o o m (.co) It is a football website. Displays latest highlights and football stats. It is dynamic because it gives live match scores, as the scores change, content change as well.
a c c u w e a t h e r (.com) It shows weather information. It is dynamic because when requested, displays current weather information.
x e (.com) It is a currency website. Dynamic because it shows live exchange rates.
<em><u>static websites</u></em>
s c i p y - l e c t u r e s (.org) It is a website about scientific python environment. It is static because it gives same content whenever requested.
d o g a c a n d u . b l o g s p o t (.com) it is a blog. Static because the requested content doesn't change unless the blogger adds a new story.
z t a b l e (.net) It is a website about z-score values and includes z-tables. It is static because its displayed as it is.
Answer:
While loops are typically used when you don’t know how many times the loop needs to repeat. The body of the loop will repeat while the condition is true. The logical expression will be evaluated just before the body of the loop is repeated.
Let’s say that we want to find the square root of a number. For some square roots, you’re never going to be exact. Let’s say that we want to find a square root that, when multiplied by itself, is within 0.01 of the square we want. How do we do it? There’s a really old process that we can apply here.
Start by guessing 2.
Compute the guess squared.
Is the guess squared close to the target number? If it’s within 0.01, we’re done. We’ll take the absolute value of the difference, in case we overshoot. (In Python, abs is the absolute value function.)
If it’s not close enough, we divide the target number by our guess, then average that value with our guess.
That’s our new guess. Square it, and go back to Step #3.
Explanation:
