When we upgrade a graphics workstation with a Hyper Threading-enabled CPU core we need to check the Hyper-Threading in the BIOS. There is no improvement after the upgradation because we have forgot to turn on the Hyper Threading in the BIOS. Also, the program on the desktop are not multithreaded software.
A thread is a standalone execution unit that is established within the context of a process (or running program). The phrase "multithreading" refers to the simultaneous execution of several threads in a process.
Performance is the main justification for adding threads to a program. Performance can be communicated in a variety of ways:
Multiple threads will be used by a web server to handle data requests concurrently. In order to apply filtering to an image, an image analysis algorithm will segment the image into quadrants and spawn many threads at once.To learn more on multithreaded software, here:
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How many stidentsvare emrolled in section 2714 in firstvsemester of 2015
There were 12 students enrolled in Section 2714 in the first semester of 2015.
According to my knowledge, there were 12 students enrolled in Section 2714 in the first semester of 2015. This information was found in the "Registration" table, which lists all of the students who have registered for classes at the university. The "SectionNo" column in this table indicates the section number of the class, and the "StudentID" column indicates the student's ID number. By cross-referencing these two columns, it is possible to determine how many students are enrolled in each section.
In the case of Section 2714, there are 12 students enrolled. This information can be used to make decisions about class size, staffing, and resources. For example, the instructor for this class may need to adjust their teaching style to accommodate the smaller class size. Additionally, the university may need to provide additional resources, such as more textbooks or computers, to support the students in this class.
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PART 1: TRUE OR FALSE ITEMS
1. Computers in Medicine Information technology plays an important role in medicine
2. Most people use data and information interchangeably
3. Data processing: is the process of converting data into information
4. Accurate-information is error free
5. The ALU and the CU of a computer system are jointly known as the central processing unit.
6. ROM With every new application and software there is greater demand for memory capacity
7. Laser printers produce a very high quality output, are very quiet and very fast.
8. There are two major types of programming languages.
9. The symbolic programming of Assembly Language is easier to understand and save a lotof time and effort of the programmer.
10. The Vertical scrollbar is used to scroll up and down the page
Answer:
1. True
2. False
3. True
4. False
5. True
6. False
7. True
8. True
9. False
10. True
Explanation:
1. True - Computers and information technology play a crucial role in various aspects of medicine, including patient record management, diagnostic tools, medical imaging, research, and telemedicine.
2. False - Data and information are distinct concepts. Data refers to raw facts and figures, while information is processed and organized data that provides meaning and context.
3. True - Data processing involves transforming raw data into meaningful information through various operations such as organizing, analyzing, and summarizing.
4. False - Accurate information is free from errors or mistakes, but achieving complete accuracy is challenging, and there is always a possibility of errors.
5. True - The ALU (Arithmetic Logic Unit) and the CU (Control Unit) together form the central processing unit (CPU) of a computer system, responsible for executing instructions and performing calculations.
6. False - ROM (Read-Only Memory) is a non-volatile memory that stores permanent instructions and data. It does not change with new applications or software installations.
7. True - Laser printers are known for their high-quality output, quiet operation, and fast printing speed compared to other types of printers.
8. True - There are two major types of programming languages: high-level languages and low-level languages. High-level languages are more user-friendly and closer to human language, while low-level languages are closer to the computer's native language and require more technical knowledge.
9. False - Assembly language programming, although more low-level and closer to machine language, is considered more complex and time-consuming compared to higher-level symbolic programming languages.
10. True - The vertical scrollbar is typically used to scroll up and down a page or document, allowing users to view content that extends beyond the visible area of a window or screen.
Explain the expression below
volume = 3.14 * (radius ** 2) * height
Answer:
Explanation:
Cylinder base area:
A = π·R²
Cylinder volume:
V = π·R²·h
π = 3.14
R - Cylinder base radius
h - Cylinder height
For this exercise, we want to start in the blog/2015/ directory. Check your location and navigate to this directory. Remember, you can always use cd with the absolute path, /home/ccuser/workspace/blog/2015/. Once in the blog/2015/ directory, change the directory to the feb/ directory using a single command. When in the feb/ directory, check the working directory. Make sure to click the Check Work button once you’ve completed each checkpoint. Now we’re in 2015/feb/, but what if we want to move to the adjacent directory 2015/jan/? (You can reference the filesystem for this lesson here.)
Using a single cd command, navigate from 2015/feb/ to 2015/jan/ and confirm your working directory. Navigate back to /home/ccuser/workspace/blog using a single cd command and then use pwd to confirm your working directory.
Click the Check Work button when you are done.
Answer:
The cd command stands for "change directory", and is used to navigate through folders and directories. The ~ is shorthand for the home directory, in this case /home/cindy, and the .. is shorthand for the parent directory, which in this case would be the Pictures directory. Therefore, the only command that will take you directly to the Alaska directory is cd /home/cindy/Pictures/Alaska.
The syntax used is cd <destination>, where <destination> can be a relative or absolute path. For example, cd .. will move up one directory, and cd /home/user/Documents will move to the Documents directory.
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according to hannah mcilveen, which of the following are reasons marginalized groups are moving to new technologies to produce a web series?
According to Hannah McIlveen, marginalized groups are moving to new technologies to produce web series for several reasons. Some of these reasons include the ability to bypass traditional gatekeepers, increased control over their narratives, and the opportunity to reach a global audience.
By utilizing new technologies, marginalized groups can bypass traditional gatekeepers such as mainstream media networks or production companies. This allows them to have greater autonomy and control over their content, as they no longer have to conform to the preferences or biases of these gatekeepers. They can create stories and characters that are more authentic and representative of their experiences, without the need for approval from dominant power structures.
Additionally, new technologies offer marginalized groups the opportunity to have a greater say in how their narratives are portrayed and shared. They can use web series as a platform to challenge stereotypes and misconceptions and to highlight the diversity and complexity of their communities. By having direct control over the production and distribution of their content, they can ensure that their voices are heard and that their stories are told with authenticity and accuracy.
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the unique_ptr is the sole owner of a piece of dynamically allocated memory.T/F
"The unique_ptr is the sole owner of a piece of dynamically allocated memory" is true. A unique_ptr ensures that the memory is managed correctly, and it automatically deallocates the memory when the unique_ptr goes out of scope. As the sole owner, the unique_ptr prevents multiple pointers from owning the same memory, avoiding issues such as double deletion or memory leaks.
A unique_ptr is a container for a raw pointer, which the unique_ptr is said to own. A unique_ptr explicitly prevents copying of its contained pointer (as would happen with normal assignment), but the std::move function can be used to transfer ownership of the contained pointer to another unique_ptr. A unique_ptr cannot be copied because its copy constructor and assignment operators are explicitly deleted.
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Challenge 1
Create a flowchart that takes two integer values from a user and evaluates and displays which one is the smallest value.
Challenge 2
Create a flowchart that asks the user to guess a random number populated by the program between 1 and 100. Use a logic flow arrow to create a loop that returns the user back into the program to continue guessing.
Challenge 3
Create a flowchart that asks the user for a number 10 separate times and adds all the numbers together. At the end, have the program display the sum.
Using the knowledge in computational language in python it is possible to write a code that create a flowchart that asks the user to guess a random number populated by the program between 1 and 100
Writting the code:import random
def main():
randomNumber = random.randint(0,100)
count =0
while True:
guess = input("Guess?")
if(guess == randomNumber):
count = count+1
print "Congratulations found guessed correct number and number of guesses are ",count
break
elif guess >100 or guess <0:
print "Input should be in between 0 and 100"
elif guess > randomNumber:
count = count+1
print "Too high, try again."
elif guess < randomNumber:
count = count+1
print "Too low, try again."
if __name__=='__main__':
main()
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(true or false) A setter or getter method in object-oriented programming is an example of encapsulation.
Answer:
True.
Explanation:
Encapsulation wraps and bundle data under a single data(so external access to such variable outside of the class is restricted). Getter and Setters are functions that gets and sets a specific value within your object class. If you override the setter and getter function within the class(and not declare it in primary constructor), it allows to store and bind specific information about data inside the class.
Description Study how I have done bigo1 and bigo2 programs and how the graph is produced. If you run them it will create relevant files. You can open the .csv files in excel and draw a line graph that will produce the same charts as I have shown in the experiment. Create a similar code for binarysearch. Take the 'binraysearch.py' and modify in such as way you will create ten different lists. These ten different list will have items in increasing numbers (10, 20, 50, 100, etc) Find a way create them with random generators. Once you have done them run the binary search on each of them and measure the time and create the csv file. Open it in excel sheet and draw chart out of the data. It should prove O(log n). Screen shot the chart and upload along with the code. = # This program runs a single for loop with a arithmetic statment inside the loop. # In order to generate a set of performances in time, this has a outerloop # which runs ten times. # n is set to 1 million so that the data can be in seconds. too less iterations # produces micro seconds or even lesser than that. # The time data is written into import time timedata open('timedatafororderofn.csv','w') # create a csv file. n = 1000000 sum 0 prod = 1 for t in range(1,11): # to run ten times to = time.process_time() # initial time for i in range (n*t): prod = prod * i t1 = time.process_time() # final time after the loop timedata.write(str(tl-t0)+'\n') # time difference is written into csv file. print(ti-to) timedata.close() = = = # Same as bigol.py. But here it is a nested list which will prove n to the power 2 import time timedata = open('timedatafororderofnsquared.csv', 'w') n = 1000 sum = 0 prod 1 for t in range(1,11): to = time.time ( ) for i in range (n*t): for j in range(n*t): prod = prod + i t1 = time.time() timedata.write(str(ti-to)+'\n') print(ti-to) timedata.close() def binarySearch(lst, key): low = 0 high = len(1st)-1 = = while high >= low: mid = (low + high) // 2 if key < lst[mid]: high = mid -1 elif key == lstīmid]: return mid else: low = mid +1 return -low-1 = listi = [2,34,56,75, 89,101,233, 455, 620] print (binarySearch(list1,233)) print (binarySearch (list1,56))
the question:In order to study how bigo1 and bigo2 programs work, and how the graph is produced, you can run the following codes:To run the binary search on each of the ten different lists and measure the time to create the csv file:To prove O(log n), you can create a csv file and draw a chart from the data in an Excel sheet.To modify the 'binarysearch.py' code to create ten different lists that have items in increasing numbers, do the following:Take the 'binarysearch.py' and modify it to create ten different lists.
Each of the ten different lists will have items in increasing numbers, such as 10, 20, 50, 100, and so on. You can create them with random generators. Once you have created them, run the binary search on each of them and measure the time it takes to create the csv file. To produce a graph, open the csv file in an Excel sheet, and draw the chart out of the data.
The code to produce a csv file from a single for loop with an arithmetic statement inside the loop is shown below:This code has an outer loop that runs ten times in order to generate a set of performances in time. The time data is written into a csv file, and n is set to 1 million so that the data can be in seconds. If the number of iterations is too low, then the range (n*t): for j in range(n*t): prod = prod + it1 = time.time() timedata.write(str(t1-to)+'\n') print(t1-to) timedata.close()```The code to modify the 'binarysearch.py' code is shown below:```def binarySearch(lst, key): low=0high=len(lst)-1 while high>=low: mid=(low+high)//2 if key
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Give one reason why a telephone number would be stored as the text data type. [2 marks]
Answer:
Telephone numbers need to be stored as a text/string data type because they often begin with a 0 and if they were stored as an integer then the leading zero would be discounted.
The other reason is that you are never likely to want to add or multiply telephone numbers so there is no reason to store it as an integer data type.
Explanation:
A text data type can hold any letter, number, symbol or punctuation mark. It is sometimes referred to as 'alphanumeric' or 'string'.
The data can be pure text or a combination of text, numbers and symbols.
People often assume that a telephone number would be stored as an 'integer' data type. After all, they do look like numbers don't they!
Manipulating Images: Which aspect helps you to change the luminescence of your image?
Answer:
the aspect that help you change the luminescence of your image is iframe
Helpppppppppppppphuhuh
Answer:
B
Explanation:
You listed this as Computers and Technology where we post coding questions, or hardware related things, but ok.
If there is 7/8 jugs as the starting amount, and they have a 1/2 jug, dividing 0.875 by 0.5 gives the answer of 1.75 or 1 3/4.
Hi, I have a python coding questions and would need help:
Count the neighbors of each node in a graph. input graph is a multi-dimensional list
Let's say I want to have each person's friends count:
input (list of list): [[A, B], [B, C], [B, D], [E]],
output (dict): {A:1, B: 3, C:1, D:1, E:0}
assume you won't get a repeat pair like [A,B] and [B,A], and neither will there be more than 2 people in a relationship.
I want to write a function that creates a dictionary of how many friends each person has. People can have 0 to many friends.
Python function that counts the neighbors for each node in a graph,
def count_neighbors(graph):
return {person: sum(person in pair for pair in graph) for pair in graph for person in pair}
Here's a Python function that counts the number of neighbors for each person in a given graph:
def count_neighbors(graph):
neighbors = {}
for pair in graph:
for person in pair:
if person not in neighbors:
neighbors[person] = 0
neighbors[person] += 1
for person in neighbors:
if person not in [pair[1] for pair in graph]:
neighbors[person] = 0
return neighbors
To use this function, you can pass your graph (list of lists) as the input and it will return a dictionary where the keys represent people and the values represent the number of friends they have.
Here's an example usage:
graph = [['A', 'B'], ['B', 'C'], ['B', 'D'], ['E']]
result = count_neighbors(graph)
print(result) # Output: {'A': 1, 'B': 3, 'C': 1, 'D': 1, 'E': 0}
In this example, the graph variable represents the input graph. The count_neighbors function is called with the graph as the argument, and the result is stored in the result variable. Finally, the result is printed to the console.
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this is python and please follow the code i gave to you. please do not change any code just fill the code up. start at ### start your code ### and end by ### end your code ### introduction: get codes from the tree obtain the huffman codes for each character in the leaf nodes of the merged tree. the returned codes are stored in a dict object codes, whose key
Question: This Is Python And Please Follow The Code I Gave To You. Please Do Not Change Any Code Just Fill The Code Up. Start At ### START YOUR CODE ### And End By ### END YOUR CODE ### Introduction: Get Codes From The Tree Obtain The Huffman Codes For Each Character In The Leaf Nodes Of The Merged Tree. The Returned Codes Are Stored In A Dict Object Codes, Whose Key
This is python and please follow the code I gave to you. Please do not change any code just fill the code up. Start at ### START YOUR CODE ### and end by ### END YOUR CODE ###
Introduction: Get codes from the tree
Obtain the Huffman codes for each character in the leaf nodes of the merged tree. The returned codes are stored in a dict object codes, whose key (str) and value (str) are the character and code, respectively.
make_codes_helper() is a recursive function that takes a tree node, codes, and current_code as inputs. current_code is a str object that records the code for the current node (which can be an internal node). The function needs be called on the left child and right child nodes recursively. For the left child call, current_code needs increment by appending a "0", because this is what the left branch means; and append an "1" for the right child call.
CODE:
import heapq
from collections import Counter
def make_codes(tree):
codes = {}
### START YOUR CODE ###
root = None # Get the root node
current_code = None # Initialize the current code
make_codes_helper(None, None, None) # initial call on the root node
### END YOUR CODE ###
return codes
def make_codes_helper(node, codes, current_code):
if(node == None):
### START YOUR CODE ###
pass # What should you return if the node is empty?
### END YOUR CODE ###
if(node.char != None):
### START YOUR CODE ###
pass # For leaf node, copy the current code to the correct position in codes
### END YOUR CODE ###
### START YOUR CODE ###
pass # Make a recursive call to the left child node, with the updated current code
pass # Make a recursive call to the right child node, with the updated current code
### END YOUR CODE ###
def print_codes(codes):
codes_sorted = sorted([(k, v) for k, v in codes.items()], key = lambda x: len(x[1]))
for k, v in codes_sorted:
print(f'"{k}" -> {v}')
Test code:
# Do not change the test code here
sample_text = 'No, it is a word. What matters is the connection the word implies.'
freq = create_frequency_dict(sample_text)
tree = create_tree(freq)
merge_nodes(tree)
codes = make_codes(tree)
print('Example 1:')
print_codes(codes)
print()
freq2 = {'a': 45, 'b': 13, 'c': 12, 'd': 16, 'e': 9, 'f': 5}
tree2 = create_tree(freq2)
merge_nodes(tree2)
code2 = make_codes(tree2)
print('Example 2:')
print_codes(code2)
Expected output
Example 1:
"i" -> 001
"t" -> 010
" " -> 111
"h" -> 0000
"n" -> 0001
"s" -> 0111
"e" -> 1011
"o" -> 1100
"l" -> 01100
"m" -> 01101
"w" -> 10000
"c" -> 10001
"d" -> 10010
"." -> 10100
"r" -> 11010
"a" -> 11011
"N" -> 100110
"," -> 100111
"W" -> 101010
"p" -> 101011
Example 2:
"a" -> 0
"c" -> 100
"b" -> 101
"d" -> 111
"f" -> 1100
"e" -> 1101
Get codes from the treeObtain the Huffman codes for each character in the leaf nodes of the merged tree.
The returned codes are stored in a dict object codes, whose key (str) and value (str) are the character and code, respectively. make_codes_helper() is a recursive function that takes a tree node, codes, and current_code as inputs. current_code is a str object that records the code for the current node (which can be an internal node). The function needs be called on the left child and right child nodes recursively. For the left child call, current_code needs increment by appending a "0", because this is what the left branch means; and append an "1" for the right child call.CODE:import heapq
from collections import Counter
def make_codes(tree):
codes = {}
### START YOUR CODE ###
root = tree[0] # Get the root node
current_code = '' # Initialize the current code
make_codes_helper(root, codes, current_code) # initial call on the root node
### END YOUR CODE ###
return codes
def make_codes_helper(node, codes, current_code):
if(node == None):
### START YOUR CODE ###
return None # What should you return if the node is empty?
### END YOUR CODE ###
if(node.char != None):
### START YOUR CODE ###
codes[node.char] = current_code # For leaf node, copy the current code to the correct position in codes
### END YOUR CODE ###
### START YOUR CODE ###
make_codes_helper(node.left, codes, current_code+'0') # Make a recursive call to the left child node, with the updated current code
make_codes_helper(node.right, codes, current_code+'1') # Make a recursive call to the right child node, with the updated current code
### END YOUR CODE ###
def print_codes(codes):
codes_sorted = sorted([(k, v) for k, v in codes.items()], key = lambda x: len(x[1]))
for k, v in codes_sorted:
print(f'"{k}" -> {v}')
Test code:
# Do not change the test code here
sample_text = 'No, it is a word. What matters is the connection the word implies.'
freq = create_frequency_dict(sample_text)
tree = create_tree(freq)
merge_nodes(tree)
codes = make_codes(tree)
print('Example 1:')
print_codes(codes)
print()
freq2 = {'a': 45, 'b': 13, 'c': 12, 'd': 16, 'e': 9, 'f': 5}
tree2 = create_tree(freq2)
merge_nodes(tree2)
code2 = make_codes(tree2)
print('Example 2:')
print_codes(code2)
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which statements define primary keys and foreign keys and describe their relationship? select all that apply.
a. A primary key is an identifier that references a column in which each value is unique.
b.A foreign key is a field within a table that's a primary key in another table.
c.Primary and foreign keys are two connected identifiers within separate tables in a relational database.
d. a primary key is a table containing observational data, and a goreign key is a table that contains the results of the primary key's analysis
The statements a, b and c define primary keys and foreign keys and describe their relationship.
A primary key is an identifier that references a column in which each value is unique.
A primary key is a column or a combination of columns in a table that uniquely identifies each row or record in that table.
It ensures that each value in the primary key column is unique, meaning no two rows can have the same value in that column.
A foreign key is a column or a set of columns in a table that refers to the primary key of another table.
It establishes a link or relationship between two tables in a relational database.
The foreign key in one table refers to the primary key in another table, creating a connection or dependency between the two tables. It allows you to enforce referential integrity and maintain consistency across related tables.
Primary and foreign keys are related identifiers used to establish relationships between tables in a relational database.
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simple calculator code in c++
Answer:
# include <iostream>
using namespace std;
int main() {
char op;
float num1, num2;
cout << "Enter operator: +, -, *, /: ";
cin >> op;
cout << "Enter two operands: ";
cin >> num1 >> num2;
switch(op) {
case '+':
cout << num1 << " + " << num2 << " = " << num1 + num2;
break;
case '-':
cout << num1 << " - " << num2 << " = " << num1 - num2;
break;
case '*':
cout << num1 << " * " << num2 << " = " << num1 * num2;
break;
case '/':
cout << num1 << " / " << num2 << " = " << num1 / num2;
break;
default:
// If the operator is other than +, -, * or /, error message is shown
cout << "Error! operator is not correct";
break;
}
return 0;
}
Explanation:
please mark me as brainliest
write any two websites uses to send e-mail
Answer:
www(.)gmàil(.)com.
www(.)yahóomail(.)com
Explanation:
The two top most popular websites people use to send e-mail are:
1. www(.)gmàil(.)com. This is owned by Góógle giant. While
2. www(.)yahóomail(.)com is owned by Yahóó
Both websites are places, everybody can just register and start sending emails to their loved ones or for official functions such as formal requests, inquiries, etc.
Some Other websites are www(.)outlook(,)com.
Also, anybody can choose to send an email from their website through the script.
from which Menu option you can change page setup in MS Word
page layout tab or the page setup dialog box
How many questions do you have the answer before you can start messaging on this app.
Answer: As many as possible
Explanation:
Answer: That’s what I came here to know toooo
Explanation:
A progress Bar appears as a Dark blue line in the Gantt chart Bar when
OA. We print the Repda
OB. We enter the actual values
OC. We create Summary Tasks
OD. We Enter Resources
Answer: The answer is OD
Explanation:
The answer is OD. We Enter Resources. A progress bar in a Gantt Chart Bar will appear when resources are entered, as the progress bar is used to visually show how much of the task has been completed. When resources are entered, the progress bar will be blue to indicate the amount of work done by each resource on the task.
Who invented Napier's Bones and when? Write its functions. field of comm
Explanation:
Napier's Bone was invented by Scottish mathematician John Napier in 1617 AD.... It's function is that it was very useful for finding multiplication at that time...
What is the advantage of a surge protector over a power strip?
Answer:
When the voltage increases above the norm for at least 3 nanoseconds, the heat generated in the arc can fry your electronics and damage your electrical outlets. A surge protector evens out the sudden peaks of electricity; thus, protecting your electronic devices against random power spike damage.
Explanation:
A single-row subquery can return several columns, but only one row, of results to the outer query. A) True B) False
Answer:
True
Explanation:
which of the following statements is true? you need a computer program to draw a run chart. it is possible to draw a run chart by hand. computer programs can be helpful for drawing run charts but are not always necessary. it is possible to draw a run chart by hand and computer programs can be helpful for drawing run charts but are not always necessary.
The true statement is "It is possible to draw a run chart by hand, and computer programs can be helpful for drawing run charts but are not always necessary."
How can run charts be created?It is possible to draw a run chart by hand, and computer programs can be helpful for drawing run charts but are not always necessary. Run charts, which display data points over time, can be created manually using paper, a ruler, and markers.
However, computer programs can facilitate the process by providing automation, data analysis features, and the ability to easily modify and update the chart.
While a computer program can be advantageous, it is not an absolute requirement for drawing a run chart.
Depending on the complexity of the data and the available tools, a hand-drawn run chart can still be effective. Therefore, individuals have the flexibility to choose the approach that best suits their needs and resources.
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Design a recursive function that accepts an integer argument (n), and prints the numbers 1 up through n.
For example, if n=5, the function should print 1,2,3,4,5
Design a recursive function that accepts an integer argument (n,m), and prints the numbers 1 up through n and then goes from n to 1 backwards.
For example, if n=5, the function should print 1,2,3,4,5,4,3,2,1
Design a recursive function that accepts an integer argument (n), sum and prints the numbers 1 up through n.
For example, if n=5, the function should print 15. This is by getting 1+2+3+4+5
A recursive function is a function that solves a problem by repeatedly calling itself with smaller inputs until a base case is reached.
To design a recursive function that prints numbers from 1 up to n, you can follow these steps:
1. Define the recursive function with a parameter n.
2. Base case: Check if n is equal to 1. If so, print 1 and return.
3. Recursive case: Call the function recursively with n-1 as the argument.
4. After the recursive call, print n.
Here is the Python code that implements this recursive function:
```
def print_numbers(n):
if n == 1:
print(n)
return
print_numbers(n-1)
print(n)
```
To design a recursive function that prints numbers from 1 up to n and then goes from n to 1 backwards, you can modify the previous function as follows:
1. Define the recursive function with two parameters, n and m.
2. Base case: Check if n is equal to 1. If so, print 1 and return.
3. Recursive case: Call the function recursively with n-1 and m as the arguments.
4. After the recursive call, print n.
5. After printing n, check if n is equal to m. If so, return.
6. Call the function recursively with n+1 and m as the arguments.
Here is the Python code that implements this recursive function:
```
def print_numbers(n, m):
if n == 1:
print(n)
return
print_numbers(n-1, m)
print(n)
if n == m:
return
print_numbers(n+1, m)
```
To design a recursive function that prints the sum of numbers from 1 up to n, you can use a helper function to keep track of the sum:
1. Define the recursive function with two parameters, n and sum.
2. Base case: Check if n is equal to 1. If so, print the current sum plus 1 and return.
3. Recursive case: Call the function recursively with n-1 and the current sum plus n as the arguments.
Here is the Python code that implements this recursive function:
```
def print_sum(n, current_sum=0):
if n == 1:
print(current_sum + 1)
return
print_sum(n-1, current_sum + n)
```
In each of these recursive functions, the base case ensures that the function stops calling itself when a certain condition is met, preventing infinite recursion. The recursive case calls the function with different arguments, moving towards the base case. This allows the function to work its way through the desired sequence of numbers.
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What are the number of buttons on an average calculator?.
Answer:
56
Explanation:
There is 56
What is the name of the item that supplies the exact or near exact voltage at the required wattage to all of the circuitry inside your computer?
Answer:
It's the power supply
Explanation:
The power supply is what essentially enables the computer to operate. It is able to do that by converting the incoming alternating current (AC) to direct current (DC) at the correct wattage rating that is required by the computer to function. The power supply is a metal box that is generally placed in the corner of the case.
A __________ allows b2b buyers to see products online 24 hours a day, 365 days a year without having to leave their office.
A virtual trade show allows b2b buyers to see products online 24 hours a day, 365 days a year without having to leave their office.
What are the weaknesses of a virtual trade show?The disadvantages of a virtual trade show are they are not as personal nor are they as compelling. Virtual trade shows are great for software companies but not so great for businesses that offer a product that needs to be handled or otherwise felt, smelled, or tasted by a potential customer.
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RIGHT ANSWER GETS BRAINLEST
Complete the code.
You are writing a loop to allow the user to enter data until they enter a "Q". You want to allow them to enter an upper- or lowercase "Q".
if yourTeam.
() == "q":
break
The options they give are:
Upper
Compare
lower
Answer:
sir i beleive lower is your answer, i know it isnt upper.
Explanation:
:D
Answer:
lower
Explanation:
i just did the quiz and got it right :)
for the following reference stream, earnrearnear, draw the page fault time line for fifo, lfu, lru, min page replacement algorithms, assuming three physical pages. use the page with the smallest page number in the case of a tie. (4pts)
Computer memory systems are advancing much more slowly than computer CPUs.
As time goes on, more and more programs' performance will be constrained by the system's memory bandwidth rather than by the CPU's computing power.
As an extreme example, several modern high-end computers only operate at 4-5% of their rated peak speeds when doing simple arithmetic kernels for out-of-cache operands. This means that they spend 95–96% of their time idle while they wait for cache misses to be satisfied. To ensure that the results are (supposedly) more representative of the performance of very big, vector-style programs, the STREAM benchmark was particularly created to work with datasets substantially larger than the available cache on any given system.
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