1. Which of the following is not a subpackage available in SciPy? Group of answer choices ndimage spatial stats ord 2. What do we call an array where the content is the opposite of 'Sparse Data'? Group of answer choices Dense data Full data Lower data
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- How is an array stored in main memory? How is a linked list stored in main memory? What are their comparative advantages and disadvantages? Give examples of data that would be best stored as an array and as a linked list.Type of data structures, data values of different types are grouped and stored. Which of the following is the correct answer? a. homogenous b. pointer c. linked list d. non-homogenousFor this project you will be implementing a new data structure called LinkedGrid. This is a linked type data structure version of a 2D array. The LinkedGrid can support any combination of dimensions (n x n, n x m, or m x n, where n > m) This data structure has a singly linked system which allows you to traverse the grid in multiple directions in addition to allowing you to retrieve specific rows and columns. The following diagram gives a rough visual of this data structure. NOTE: Your LinkedGrid MUST work with any number of nodes, the picture only shows twelve as an idea. You may not hardcode only twelve nodes... There should be no public functions other than the ones given to you You may implement any other private functions you feel are necessary to help you implement the given constructors / public functions Complete ALL methods with "TO DO" in LinkedGrid.java import java.util.ArrayList; public class LinkedGrid<E>{private int numRows;private int numCols; private…
- JavaScript NOTE: Dataset is defined below. Using the data set as a pre-defined variable in your program, write code that uses the dataset to print the FIRST NAMES ONLY of people who have BOTH above average English grades AND below average age from the dataset. The solutions for the textbook examples assume you are able to export in a framework like node.js, which is why in the data set I provide, I simply set the array of objects as a variable. Your code will be in the same file (treat it like any other array variable). You can do the same with the sample files the chapter provides. For example: var ancestry = [ { .. object .. }, ...]// your code here Requirements: Cannot use any array type built-in functions except filter(), map(), and reduce(). var dataSet = [ { "name":"Maura Glass", "age":60, "math":97, "english":63, "yearsOfEducation":4 }, { "name":"James Gates", "age":55, "math":72, "english":96, "yearsOfEducation":10 }, { "name":"Mills Morris", "age":26,…5. A(n) is an indexed data structure, which means you can select its elements in arbitrary order as determined by the subscript value. a. String b. stack c. array d. list 6. A(n) is a data structure that contains a data item and one or more links. a. collection b. node c. iterator d. interface 7. You could create a circular list from a single-linked list by executing the statement. a. tail.next = head b. head.prev next %3D c. tail.head = next d. head.tail prev 8. How much time does an ArrayList add a new element to the beginning of the list if n is the size of the ArrayList? a. O(1) b. O(n) c. O (n²) d. O(log n) 9. How much time does an ArrayList add a new element to the end of the list if n is the size of the ArrayList? a. O(1) b. O(n) c. O (n²) d. O(log n)Design and implement a service that simulates PHP loops. Each of the three loop variants should be encapsulated in an object. The service can be controlled via a parameter and execute three different simulations. The result is returned as JSON. The input is an array consisting of the letters $characters = [A-Z]. -The For loop should store all even letters in an array.-The Foreach loop simulation is to create a backward sorted array by For loop, i.e. [Z-A] .-The While loop should write all characters into an array until the desired character is found. Interface:-GET Parameter String: loopType ( possible values: REVERSE, EVEN, UNTIL )-GET parameter String: until (up to which character) Output:JSON Object: {loopName: <string>, result: <array> }
- You are writing an application. You need a data structure that will allow you to store a large set of distinctive objects. The common operations performed on the set of objects are: lookup, insert, and delete. No traversal will be performed on the data set. The client wants the program to be as efficient as possible. Which of the following data structures should you use in your design? Question 25 options: hash table linked list heap binary search treeDefine the grow() method. Add the fillValue to the new cells in the underlying list Each call to grow() should double the physical size. Make sure that the array’s cells use the fillValue when the array’s size is increased. Define the shrink() method. Shrink the size by half but not below the default capacity Remove those garbage cells from the underlying list Make sure that the physical size of the array does not shrink below the user-specified capacity. To test your program run the main() method below in the arrays.py file: def main(): """Test code for modified Array class.""" a = Array(5) print("Physical size:", len(a)) print("Logical size:", a.size()) print("Items:", a) a.grow() print("Items:", a) a.grow() print("Items:", a) a.shrink() print("Items:", a) a.shrink() print("Items:", a) a.shrink() print("Items:", a) if __name__ == "__main__": main() Your program's output should look like the following: Physical size: 5 Logical size: 0 Items: [None, None, None, None, None]…What collection-type data type is most useful with data values that are heterogeneous and may be processed differently? record data types arrays associative arrays hashes
- importing the necessary library import pandas as pd import statsmodels.api as sm # In[2]: # Read the dataset df = pd.read_csv('fastfood.csv') # In[3]: # getting the necessary columns for the prediction of calories. df = df[['total_fat', 'sat_fat', 'cholesterol', 'sodium','calories']] # In[4]: df.head() # display few rows. # In[5]: # Get X and Y as ndarray using .values X = df[['total_fat', 'sat_fat', 'cholesterol', 'sodium']].values Y = df[['calories']].values # In[6]: # Adding the constant X = sm.add_constant(X) # In[7]: # Create and fit OLS model on X and Y sm_model = sm.OLS(Y,X) model = sm_model.fit() # In[8]: # print the desired output. print(model.mse_total.round(2)) print(model.rsquared.round(2)) print(model.params.round(2)) print(model.pvalues.round(2))TASK 3 Using one of the sorting methods, sort the Car ArrayList based on their ‘City mpg’ feature. Justify your choice of the algorithm used. HINTS: 1. You need to create a class called Car that implements the Comparable interface and load the data from the file to a list. Then somehow convert the arraylist to an array to use the implementations of the algorithms 2. To measure the time it took to run, you can use System.nanoTime() or System.currentTimeMillisbefore and after the method is executed (see here: https://docs.oracle.com/javase/7/docs/api/java/lang/System.html) and subtract. Deliverables: 1. A IntelliJ project implementing the tasks 2. A report on the second exercise showing a graph of running time vs. input size of both algorithms and your conclusions.Create Java Book objects using the following data and place them in a List. (Fields: Author, Title, Year, Price) Java Programming,Deitel,2016,68.75Python Programming,Gaddis,2018,78.56Data Analytics,Norman,2017,89.56Block Chain Development,Wilson,2019,87.45Web Development,Brown,2018,98.98 Create TWO List Comparators to sort the Book objects in ascending order: One by Book Title and the second by Book Year. Using each Comparator, SORT the List once by Title and again by Year. NOTE: You MUST use the Comparator to SORT. Cannot use any other built in sort methods. Output each SORTED List on Console in a format same as the data shown above (One Book per line, comma separated).
