Q5. If A, B, and C are sets, then show that AnBnC = ĀUBUC by use a membership table. ABCA BC CCUB AOBO C AUBUC 111 10 0 1 1 1 1 011 01 0 0 0|1
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- given a dictionary of characters with their favorite foods. sort the characters and their favorite foods. return a dictionary where the keys are characters and the values are the friends who like the same foods. if more than one character likes the same food sort alphabetically. >>> friends1 = {"Famy": ["pizza", "chocolate"], "Nihal": ["chocolate","hotdog"], "Amy":["chocolate", "chips"]} >>> friendsfoods(friends1) {'pizza': ['Famy'], 'chocolate': ['Amy', 'Famy', 'Nihal'], 'hotdog': ['Nihal'], 'chips': ['Amy']} >>> friends2 = {'Alissa': ['pizza', 'hotdog'], 'Arun': ['pizza', 'chips'], 'Michele': ['icecream', 'burger', 'fries']} >>> friendsfoods(friends2) {'pizza': ['Alissa', 'Arun'], 'hotdog': ['Alissa'], 'chips': ['Arun'], 'icecream': ['Michele'], 'burger': ['Michele'], 'fries': ['Michele']} Subject: Python Programming89. Using OQL, you may do which of the following? a. Return an entire collection of elements including duplicates. b. Return a collection of elements without duplicates. c. Return a specific subset of elements using a given criteria. d. All of the above.Please modify the code below for "Current Date" ********************************************************************** from pandas_datareader import data as pdrimport yfinance as yfin # Work around until# pandas_datareader is fixed.import datetimeimport pandas as pdimport matplotlib.pyplot as pltimport numpy as np# Show all columns.pd.set_option('display.max_columns', None)pd.set_option('display.width', 1000)def getStock(stk, numDays):print(stk)# Only gets up until day before during# trading hoursdt = datetime.date.today()# For some reason, must add 1 day to get current stock prices# during trade hours. (Prices are about 15 min behind actual prices.)dtNow = dt + datetime.timedelta(days=1)dtNowStr = dtNow.strftime("%Y-%m-%d")dtPast = dt + datetime.timedelta(days=-numDays)dtPastStr = dtPast.strftime("%Y-%m-%d")yfin.pdr_override()df = pdr.get_data_yahoo(stk, start=dtPastStr, end=dtNowStr)return df################################################################### CONFIGURATION…
- Please don't copy expelenRecurrence relations Write the first four terms of the sequence {an} defined by the following recurrence relations DO NOT COPY FROM OTHER WEBSITESFind the list of S&P 500 companies. Choose four companies from S&P 500 list that the first letter of their names is the same as the first four letters of your first name. For instance, my first name is ARASH. So, I need to choose four companies that their names start with A, R, A, and S. I choose: A: Amazon R: Royal Caribbean Group A: Apple S: Starbucks You must choose four companies based on your first name. and the first 4 letters are A , B, R, A Now do the following: 1) Create a dataframe in R that has the following columns for these four companies: Company_name Headquarters location city Headquarters location country (use US for the United States) Symbol Revenue in billion dollars Stock price Use appropriate names for your columns. Make sure that the classes of your column make sense. The class of Headquarters location country must be factor. a) Find the maximum value for revenue (use $ operator). b) Find the average for stock price (use $ operator). c) Create a…
- Rewrite the following code snipped using the jQuery function $.get. $("#display").load("greetings.html");Where stud_type_id=student_type.id AND student_type.name='local'Some rows of the STUGRADE table of a school are shown below: STU_CODE CLS_CODE GRADE YEAR 291 111 3.1 2010 938 101B 2.3 2011 931 M101 3.3 2040 291 M101 3.4 2018 190 111 2.0 2021 931 321 3.9 2003 Suppose that STU_CODE is the student code (foreign key) and CLS_CODE is the class code (foreign key). Which of the following computes the average for each year of the student with code 931? a. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY YEAR b. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931. c. SELECT AVG(GRADE) FROM STUGRADE GROUP BY STU_CODE = 931 d. SELECT AVG(GRADE) FROM STUGRADE WHERE STU_CODE = 931 GROUP BY AVG(GRADE)
- PYTHON prov_records_per_date() takes a 2-D list (similar to the database) and an integer representing the province ID. This function returns another 2-D list, where each element of this list stores information in the following format. [ [day1, total number of patients (both icu and non-icu) in this provice reported in day1], [day2, total number of patients (both icu and non-icu) in this provice reported in day2], ... ] >>> results = prov_records_per_date(database, 35) >>> display_dict(result) >>> display_list(result) ['2022-01-31', 239] ['2022-02-05', 393] >>> results = prov_records_per_date(database, 10) >>> display_dict(result)['2022-02-02', 225] >>> results = prov_records_per_date(database, 81) >>> display_dict(result)No data in listorderdp.cpp: #include <fcntl.h> #include <stdlib.h> #include <unistd.h> #include <inttypes.h> #include "orders.h" item::item(uint16_t s, uint16_t q) : sku(s), quantity(q) { } item_list::item_list() : items(NULL), num_products(0) { } void item_list::add(const item& i) { items = (item**)realloc(items, (num_products+1)*sizeof(item*)); items[num_products] = new item(i); num_products++; } order::order(uint16_t o, std::string n) : order_id(o), customer_name(n) { } void order::addItem(const item& i) { product_items.add(i); } order** read_orders(const char* filename, uint16_t* num_orders) { int fd; fd = open(filename, O_RDONLY); int err = fd; if (err == -1) { return NULL; } read(fd, num_orders, sizeof(*num_orders)); order** orders = new order*[*num_orders]; for (int i=0; i<*num_orders; i++) { uint16_t order_id; uint16_t num_products; read(fd, &order_id,…Python Language Item 2 [hint: use linspace and meshgrid to generate a gridded coordinates] I want you to create random sampling (10 sets, 500 random points from -20 to 20) first z1-value: use the 2D gaussian formula to get the z second z2-value: use the interpolation using x&y random points as query points xi Task1: then compare (% diff) between z1 and z2 for each set. Task2: then compare (% diff) between z1 and z2 average of the 10 sets. Task3: using the averaged value of z1-values, interpolate it onto a new grid with the size of 50x50 grid and plot the result. Task4: plot individually all the random samplings for z1 and z2 ------------------------------------------------ I did a code for this but it runs "error" , how do you fix this?