A restaurant is a workplace for someone whos career specialty is in... Cooking
The answer is: Cooking
1.)
<span>((i <= n) && (a[i] == 0)) || (((i >= n) && (a[i-1] == 0))) </span>
<span>The expression will be true IF the first part is true, or if the first part is false and the second part is true. This is because || uses "short circuit" evaluation. If the first term is true, then the second term is *never even evaluated*. </span>
<span>For || the expression is true if *either* part is true, and for && the expression is true only if *both* parts are true. </span>
<span>a.) (i <= n) || (i >= n) </span>
<span>This means that either, or both, of these terms is true. This isn't sufficient to make the original term true. </span>
<span>b.) (a[i] == 0) && (a[i-1] == 0) </span>
<span>This means that both of these terms are true. We substitute. </span>
<span>((i <= n) && true) || (((i >= n) && true)) </span>
<span>Remember that && is true only if both parts are true. So if you have x && true, then the truth depends entirely on x. Thus x && true is the same as just x. The above predicate reduces to: </span>
<span>(i <= n) || (i >= n) </span>
<span>This is clearly always true. </span>
Answer:
Liam could
1) Change the password
Be sure to change the password to a "strong" one (containing lots of characters, numbers, symbols) so that way the password would be difficult to guess.
2) Avoid logging onto social media on public computers or WiFi connections.
Using public WiFi leaves you vulnerable to someone accessing your information through Internet traffic. If you do use public computers, just make sure to log out.
3) Avoid giving out account information to friends and avoid opening suspicious links and emails.
Opening suspicious links or emails could allow malware to infect your computer the moment you open them. Friends can unknowingly share these links that are designed to steal information.
I hope this helped <3 please lmk if there's anything more to add.
Numpy is among the most prevalent science computer science bundles in Python, and the following are the discussion on the use of transpose function:
- Transpose() is among the most important <em>matrix multiplication functions</em>.
- It is used to changes elements of the <em><u>row into column</u></em> elements and the elements of the <em><u>column into rows</u></em> elements.
- The output of this function is an original modified array.
Therefore, the transpose function in NumPy is being used to <em><u>switch positions of rows to columns or columns to rows</u></em>.
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