If you have a list consisting of just numbers, then you can add all of the values in the list using the sum() function. if your list consists of some numbers and some values of other types (e. g., lists, strings, sets), the sum() function will fail. in this question, we're asking you to write a function that will sum all of the numbers in a list, ignoring the non-numbers. the function below takes one parameter: a list of values (value_list) of various types. the recommended approach for this: (1) create a variable to hold the current sum and initialize it to zero, (2) use a for loop to process each element of the list, (3) test each element to see if it is an integer or a float, and, if so, add its value to the current sum, (4) return the sum at the end.

Which activity should be part of a long-term plan to positively affect yourhealth? oa. wearing regular clothing when handling toxinsob. not worrying about secondhand smokeoc. avoiding excessive exposure to sunlightod. drinking only well water

The blank button automatically displays next to the data when you select a range of numeric data which is an available option for creating a chart

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?