Answer:
Written in Python
import math
principal = 8000
rate = 0.025
for i in range(1, 11):
amount = principal + principal * rate
principal = amount
print("Year "+str(i)+": "+str(round(amount,2)))
Explanation:
This line imports math library
import math
This line initializes principal amount to 8000
principal = 8000
This line initializes rate to 0.025
rate = 0.025
The following is an iteration from year 1 to 10
for i in range(1, 11):
This calculates the amount at the end of the year
amount = principal + principal * rate
This calculates the amount at the beginning of the next year
principal = amount
This prints the calculated amount
print("Year "+str(i)+": "+str(round(amount,2)))
Answer:
pasensya na Hindi ko alam Ang sasabihin
In conclusion there are many different data structures. Each data structure has strengths and weaknesses which affect performance depending on the task. Today, we explored two data structures: arrays and linked lists. Arrays allow random access and require less memory per element (do not need space for pointers) while lacking efficiency for insertion/deletion operations and memory allocation. On the contrary, linked lists are dynamic and have faster insertion/deletion time complexities. However, linked list have a slower search time and pointers require additional memory per element in the list. Figure 10 below summarizes the strength and weakness of arrays and linked lists.
