Complete the code to calculate the basic range estimate using speed and time.
range_estimate = speed [1] timeThe range is calculated by multiplying speed by time, as distance equals speed times time.
Complete the code to filter out invalid sensor readings below a threshold.
valid_readings = [r for r in readings if r [1] threshold]
We keep readings greater than the threshold to ensure only valid data is used.
Fix the error in the code to compute the average of distance measurements.
average_distance = sum(distances) [1] len(distances)
The average is the sum divided by the number of measurements.
Fill both blanks to create a dictionary of distances squared for values above a limit.
distance_squares = {d: d[1]2 for d in distances if d [2] limit}We square the distance using the power operator and filter distances greater than the limit.
Fill all three blanks to create a filtered dictionary with uppercase keys and positive values.
filtered = [1]: [2] for [3], v in data.items() if v > 0}
Keys are converted to uppercase, values are kept as is, and the loop variable is 'k' for keys.
