All categories

3 years ago

Please help ASAP, will mark brainliest!

Computers and Technology

1 answer:

Assoli18 [71]3 years ago

3 0

Answer:

People researching job options and information

Explanation:

The people who are searching for the jobs and want to get information related to different type of career opportunities may found career resources helpful.

These resource may includes, training about resume, CV and cover letter writing, information about jobs in different industries. Trends of different jobs and qualifications for jobs. It also provides the information about how to prepare for interview and information about different company.

All this information is required by the people who are seeking for jobs.

You might be interested in

Count positive and negative number and compute the average. The program will have the user input an unspecified number of intege

Alla [95]

Answer:

The solution code is written in Python 3

total = 0
count = 0
neg = 0
pos = 0
num = int(input("Enter an integer: "))
while(num != 0):
total += num
count += 1
if(num < 0):
neg += 1
else:
pos += 1
num = int(input("Enter an integer: "))
print("The number of positives: " + str(pos))
print("The number of negatives: " + str(neg))
print("The total is " + str(total))
print("The average is " + str(total/count))

Explanation:

Firstly, we create four variables, total , count, neg and pos (Line 1- 4). This is to prepare the variable to hold the value of summation of input integer (total), total number of input number (count), total negatives (neg) and total positives (pos).

Next, we prompt user for the first integer (Line 6).

Create a sentinel while loop and set the condition so long as the current input number, num is not equal to zero. the program will just keep adding the current num to total (Line 9) and increment the count by one (Line 10).

if num smaller than zero, increment the neg by one (Line 13) else increment the pos by one (Line 15). This is to track the total number of positives and negatives.

Finally, we can display all the required output (Line 20 - 23) using the Python built-in function print() when user enter 0 to terminate the while loop. The output shall be as follows:

The number of positives: 3

The number of negatives: 1

The total is 5

The average is 1.25

3 0

4 years ago

GAMER OYUNCU KOLTUĞU % YERLİ

rewona [7]

Answer:

what does that even say omg

3 0

4 years ago

Array, destination contains the number of 10 cities numbered 1 to 10 that the products were shipped to. Hence, 10 quantities of

Naddik [55]

Answer:

#include <stdlib.h>

#include <stdio.h>

void func1(int product[]){

int orders[6]={0};

for(int i=0;i<70;i++){

orders[product[i]]++;

}

printf("Total number of each type of products that were bought\n");

for(int i=1;i<=5;i++){

printf("Product %d = %d\n",i,orders[i]);

}

void func2(int product[],int quantity[],float price[]){

float total_cost=0;

for(int i=0;i<70;i++){

total_cost+= price[product[i]]* quantity[i];

}

printf("The total cost of all 70 orders = %.2f\n",total_cost);

}

void func3(int product[],int quantity[],int destination[],float price[]){

float total_cost=0;

for(int i=0;i<70;i++){

if(destination[i]==8){

total_cost+= price[product[i]]* quantity[i];

}

printf("The total cost of all products shipped to destination 8 = %.2f\n",total_cost);

}

void func4(int product[],int quantity[],float price[]){

int total_orders=0;

for(int i=0;i<70;i++){

if(price[product[i]]* quantity[i]>=50){

total_orders++;

}

printf("The total number of orders where each order is $50 or more = %d\n",total_orders);

}

void func5(int product[],int quantity[],int origination[],float price[]){

int total_orders=0;

for(int i=0;i<70;i++){

if(origination[i]==3 && price[product[i]]* quantity[i]>=50){

total_orders++;

}

printf("The total number of orders that originated from 3 where each order is $50 or more. = %d\n",total_orders);

}

void func6(int product[],int quantity[],int origination[],float price[]){

float total_cost=0;

for(int i=0;i<70;i++){

if(origination[i]==3 && price[product[i]] * quantity[i]>=50){

total_cost += price[product[i]] * quantity[i];

}

printf("The total number of orders that originated from 3 where each order is $50 or more. = %.2f\n",total_cost);

}

void func7(int origination[],int destination[]){

int total_orders=0;

for(int i=0;i<70;i++){

if(origination[i]==3 && destination[i]==8){

total_orders++;

}

printf("The total number of orders that originated from 3 and shipped to 8. = %d\n",total_orders);

}

void func8(int product[],int quantity[],int origination[],int destination[],float price[]){

float total_cost=0;

for(int i=0;i<70;i++){

if(origination[i]==3 && destination[i]==8){

total_cost += price[product[i]] * quantity[i];

}

printf("The total cost of orders that originated from 3 and shipped to 8. = %.2f\n",total_cost);

}

void func9(int destination[]){

int total_orders=0;

for(int i=0;i<70;i++){

if(destination[i]!=8){

total_orders++;

}

printf("The total number of orders that was shipped to all destinations except to 8. = %d\n",total_orders);

}

void func10(int product[],int quantity[],int destination[],float price[]){

float total_cost=0;

for(int i=0;i<70;i++){

if(destination[i]!=8){

total_cost += price[product[i]] * quantity[i];;

}

printf("The total cost of orders that was shipped to all destinations except to 8. = %.2f\n",total_cost);

}

int main(){

int product[70] = {4, 2, 4, 2, 4, 5, 5, 2, 2, 5, 5, 4, 3, 5, 4, 2, 5, 3, 1, 2, 2, 3, 3, 4, 5, 5, 4, 5, 3, 5, 5, 1, 4, 5, 1, 5, 3, 2, 4, 1, 2, 4, 5, 1, 5, 5, 5, 5, 5, 2, 5, 1, 4, 4, 4, 2, 3, 3, 3, 3, 4, 3, 5, 5, 3, 2, 3, 5, 3, 2};

int quantity[70] = {10, 9, 6, 4, 10, 4, 9, 6, 10, 7, 3, 4, 4, 9, 1, 8, 9, 1, 5, 8, 7, 2, 3, 4, 10, 5, 6, 2, 1, 7, 2, 8, 6, 9, 8, 8, 7, 7, 9, 10, 6, 7, 8, 2, 1, 7, 6, 3, 3, 1, 8, 4, 10, 7, 1, 10, 6, 9, 8, 2, 4, 6, 1, 8, 2, 6, 10, 2, 6, 2};

int origination[70] = {2, 7, 5, 5, 7, 2, 7, 2, 7, 7, 5, 2, 5, 5, 5, 2, 2, 7, 2, 7, 7, 2, 2, 2, 2, 5, 7, 5, 7, 7, 5, 5, 2, 2, 5, 7, 2, 5, 7, 2, 5, 7, 2, 5, 7, 2, 2, 7, 2, 7, 5, 2, 2, 2, 5, 7, 2, 5, 5, 5, 7, 7, 2, 5, 2, 7, 5, 2, 5, 7};

int destination[70] = {8, 7, 3, 10, 2, 6, 4, 5, 1, 3, 5, 9, 5, 8, 6, 4, 3, 7, 1, 2, 7, 2, 8, 2, 2, 1, 2, 6, 10, 2, 7, 7, 8, 6, 8, 8, 4, 8, 3, 10, 6, 9, 4, 9, 5, 1, 7, 3, 1, 7, 5, 5, 4, 9, 3, 10, 8, 1, 1, 1, 1, 8, 10, 3, 5, 2, 8, 7, 4, 10};

float price[6]={0,11.95,7.95,19.95,24.95,15.25};

func1(product);

func2(product,quantity,price);

func3(product,quantity,destination,price);

func4(product,quantity,price);

func5(product,quantity,origination,price);

func6(product,quantity,origination,price);

func7(origination,destination);

func8(product,quantity,origination,destination,price);

func9(destination);

func10(product,quantity,destination,price);

}

Explanation:

The program inputs order, products and cities products are shipped.

After a series of conditional requirements being met, will output the destination each product os going to and the number of products with its associated price.

3 0

4 years ago

Read 2 more answers

Answer the following Python Interview questions • How is Python an interpreted language? • What is the difference between Python

8_murik_8 [283]

Answer:

1. Python is called as interpreted language. However as a programming language it is not fully compiled nor interpreted language. Python program runs from direct source code which makes it byte code interpreted.

An Interpreter is the one which takes the code and performs the actions specified in the code. It turns the code into intermediate language which is again translated to machine language understood by the processor. Interpreted or compiled are the property of the implementation and not of the language.

2. Array : It is a collection of same data type elements stored at contagious memory location. It is handled in python with module array. All the elements of array must be of same data type. In order to manipulate same data types arrays are used.

Ex: array1 = a.array ('i', [10, 20, 30]) this is a array of integer type.

Lists : Python lists are ordered data structure and are like non homogeneous dynamic sized arrays. It may contain integers, strings, boolean, or objects.

Ex: List1 = [70, 89, 98] , List2 = ["Rose", "Lilly", "Jasmine"]

List3 = [1, 10, 100, 'Test', 'Test1']

Tuple : It is a collection of objects separated by commas and they are immutable. It is static which makes them faster.

Ex: tupule1 = ('element1', 'element2')

List and Tuple in Python are the class of data structure. The list is dynamic, whereas tuple has static characteristics.

Lists are mutable but tuples are not.

tuples are mainly used to access the elements where as lists are used in operations like insertion and deletion.

Iterations are time consuming in list where as it is faster in tuples.

tuples don't have inbuilt methods but list has many builtin methods.

tuples takes slightly less memory that lists in Python

Records: Records data structure will have fixed number of fields and each field may have a name and different type. Immutable records are implemented using named tuple.

3. Syntax of slice in python is list[<start>:<stop>:<step>] and it can be used on tuples and lists.

so X [::-1] means that it will start from the end towards the first element by taking each of the elements.

for ex: X = '9876'

X [::-1] will result in '6789'.

Means it will reverse all the elements in the array.

4. Items of list can be shuffled with the random.shuffle() function of a random module.

Syntax is : random.shuffle(x, random)

x- It is a sequence to shuffle and can be list or tuple.

random- it is a optional argument which returns random float number between 0.1 to 1.0.

5. range() – Range function returns a range object which is a type of iterable object.

xrange() – xrange function returns the generator object that can be used to display numbers only by looping. Only particular range is displayed on demand and hence called “lazy evaluation“.

• Return type of range () is range object whereas that of xrange() is xrange object.

• Variable to store the range using range () takes more memory but xrange takes comparative less memory.

• Range returns the list but xrange returns the xrange object. Hence operations on list can be applied for range but not on xrange.

• Xrange is faster to implement than range as xrange evaluates only generator objects.

• Xrange is depreciated in Python 3 and above.

For ex :

x = range (10, 100)

y= xrange (10, 100)

#To know the return type we can print it

print ( return type of range () is : “)

print (type (x))

print ( return type of xrange () is : “)

print (type (y))

Output will be list and xrange respectively.

6. NumPy's arrays are more compact than Python lists

reading and writing items is also faster with NumPy.

Memory taken by python lists are way higher than NumPy arrays.

Python lists don’t support vectorized operation.

Since lists can contain objects of different types its type information must be stored and executed every time operation is performed on it.

Memory taken by python lists are a lot higher than that of NumPy Arrays.

Reading and writing of elements in NumPy arrays are faster than lists.

NumPy arrays are compact and accumulate lesser storage.

Numpy is convenient and efficient.

For ex :

Metrics operations are easy in NumPy.

Checkerboard pattern can be done using NumPy.

7. Attached as Image

8. split() method returns a list of strings after breaking the given string by the specified separator. It is splitting of string into list with each word is a list item.

Syntax : str.split ( separator, maxsplit)

Separator : its is delimiter used and by default whitespace is used as separator.

Maxsplit : Maximum number of times to split the string. By default it has no limit.

For ex:

text = 'apples and oranges are different '

print(text.split())

output will be : ['apples', 'and', 'oranges', 'are', 'different' ]

Explanation:

7 0

3 years ago

To erase an entire entry in a cell and then reenter the data from the beginning, press the ____ key.

Mama L [17]

The ESC Key.

hope that helps

8 0

4 years ago