STUDENT MARKSStud idStudGenderSQLnameWebAppDev Math ITStud Section46J12035Azhila78598946S11114Sulthan88788746J21113Rashid676971146J22145Mahmood77767946S11111Moosa69717246S21456Mohammed867891146J14569ReshmaF7686772.46J24689FatmaF88868146J13564AmaniF798988146J12456NoorF7879762.1-Find out Stud section, average of SQL, average of WebAppDev, average of Math ITgroup by section?

The function AVG() is used to find the average of a column. It takes the parameter as a column…

STUDENT MARKS Stud id Stud name Gender SQL WebAppDev Math IT Stud Section 46J12035 Azhila 78 59 89 1. 46S11114 Sulthan 88 78 87 1. 46J21113 Rashid 67 69 71 1. 46J22145 Mahmood M 77 76 79 46S11111 Мoosa 69 71 72 2. 46S21456 Mohammed 86 78 91 46J14569 Reshma F 76 86 77 2. 46J24689 Fatma F 88 86 81 46J13564 Amani F 79 89 88 1 46J12456 Noor F 78 79 76 2. 1-Find out Stud section, average of SQL, average of WebAppDev, average of Math ITgroup by section? 1,

STUDENT MARKS Stud id Stud name Gender SQL WebAppDev Math IT Stud Section 46J12035 Azhila 78 59 89 1. 46S11114 Sulthan 88 78 87 1. 46J21113 Rashid 67 69 71 1. 46J22145 Mahmood M 77 76 79 46S11111 Мoosa 69 71 72 2. 46S21456 Mohammed 86 78 91 46J14569 Reshma F 76 86 77 2. 46J24689 Fatma F 88 86 81 46J13564 Amani F 79 89 88 1 46J12456 Noor F 78 79 76 2. 1-Find out Stud section, average of SQL, average of WebAppDev, average of Math ITgroup by section? 1,

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Can you help me here to find what is wr The time , dosn't work , it show 0000. 00 . 00 As in picture I attached with the question. Here the code for class and follow for the main. <?php//include("includes/config.php"); class Posts { private $db; // This __construct function I use to open up a connection to my database function __construct() { $this->db = new mysqli(DBHOST, DBUSER, DBPASS, DBDATABASE); if($this->db->connect_errno > 0) { die("Connection error: " . $db->connect_error); } } // My method to read posts from my database public function getPosts() { // sql command to get data from my database table called 'guestbook' $sql = "SELECT * from guestbook /*ORDER BY created DESC*/"; $result = $this->db->query($sql); return mysqli_fetch_all($result, MYSQLI_ASSOC); } public function addPost(string $user, string $content, $created ) { $created =date("M-d-Y h:i:s A");…
Write a SQL query to delete all duplicate email entries in a table named Person,keeping only unique emails based on its smallest Id.+----+------------------+| Id | Email |+----+------------------+| 1 | john@example.com || 2 | bob@example.com || 3 | john@example.com |+----+------------------+Id is the primary key column for this table.For example, after running your query, the above Person table should have thefollowing rows:+----+------------------+| Id | Email |+----+------------------+| 1 | john@example.com || 2 | bob@example.com |+----+------------------+Note:Your output is the whole Person table after executing your sql. Use deletestatement.
why when add new index in python data frame its make all columns nan and when I remove it not make column nan ? ex ) I create data frame with index [f1 t0 f30] when I create to f9 its ok all but when add f10 make all before data null?
I am trying to scrape price and circulating supply for all the cryptocurrency listed on CoinMarketCap. with the code below I was able to scrape 10 rows without any problem however after 10th row few data are not properly scraped. This is in python. Please fix it and output to a textfile cmc = requests.get("https://coinmarketcap.com/1") soup = BeautifulSoup(cmc.content, 'html.parser') data = soup.find('table') rows = data.find_all('tr') #extract column names from table table_headers = [] for i in data.find_all('th'): table_headers.append(i.text) #extract data from each row circ_supply = [] data_table = [] for i in rows: table_data = i.find_all('td') data = [j.text for j in table_data] print(data) data_table.append(data) output
Question Sum Which of the following statements are true about Randomized search CV? It evaluates all the possible combinations available in the grid The number of parameter settings that are tried is given by n_iter Only a fixed number of hyperparameter values are tried out from the provided parameter grid Only 1 Only 1 and 2 Only 2 Only 2 and 3 Full explain this question very fast solution sent me step by step
https://en.wikipedia.org/wiki/Greenhouse_gas Webscraping class: class WebScraping:def __init__(self,url):self.url = urlself.response = requests.get(self.url)self.soup = BeautifulSoup(self.response.text, 'html.parser')def extract_data(self):data = defaultdict(list)table = self.soup.find('table', {'class': 'wikitable sortable'})rows = table.find_all('tr')[1:]for row in rows:cols = row.find_all('td')data['Country Name'].append(cols[0].text.strip())data['1980'].append(cols[1].text.strip())data['2018'].append(cols[2].text.strip())return data question #1 class GreenhouseGasData(NamedTuple): Gas: str Pre_1750: float Recent: float Absolute_increase_since_1750: float Percentage_increase_since_1750: float class GreenhouseGasCollection: def __init__(self, data): self.data = data def __repr__(self): return str(self.data) def sort_by(self, column): if column not in GreenhouseGasData._fields: raise…
4. Which of the following is a property of a hash function? A. It is difficult to calculate. B. It is difficult to invert. C. It is a trigonometric function. D. Its input cannot be larger than the difficulty target.
Please help with the 1 Python question Data File: https://docs.google.com/spreadsheets/d/1-S_xnAQXa1QCoWQt7xyvxo42XRNC1QBd/edit?usp=sharing&ouid=112107649557425878726&rtpof=true&sd=true %%capture############################################################## EXECUTE THIS CELL BEFORE YOU TO TEST YOUR SOLUTIONS ##############################################################import imp, os, syssol = imp.load_compiled("solutions", "./solutions.py")sol.get_solutions("imdb.xlsx")from nose.tools import assert_equalfrom pandas.util.testing import assert_frame_equal, assert_series_equal # Loading the dataimport pandas as pdimport numpy as np xls = pd.ExcelFile('imdb.xlsx')df = xls.parse('imdb')df_directors = xls.parse('directors')df_countries = xls.parse('countries') df = pd.merge(left=df, right=df_countries, how='inner', left_on='country_id', right_on='id') df = pd.merge(left=df, right=df_directors, how='inner', left_on='director_id',…
I need help with this question two parts, please. C.) Add the following numbers to a 5-entry hash table using separate chaining to resolve collisions. Stop before adding an item that would result in α > 3.0. This means you might not use all the numbers. (Spoiler alert: you won't use them all.) 39 68 60 71 83 52 99 55 49 77 58 26 76 66 37 28 For the hash function, simply take the number mod the table size. In 5 blanks, write the list of numbers that would end up at that entry in the table, separated by spaces. If there is no number at that location, write empty. D.) Add the following numbers to an 11-entry hash table using separate chaining to resolve collisions. Stop before adding an item that would result in α > 3.0. This means you may not use all the numbers. 39 68 60 71 83 52 99 55 49 77 58 26 76 66 37 28 For the hash function, simply take the number mod the table size. In 11 blankS, write the list of numbers that would end up at that entry in the table, separated by…
convert UNF for 1NF to 2NF to 3NF, progressively. UNF:Order(OrderID, OrderDate, CustID, CustName, CustPhone, CCNum, CCExpDate, CCBank, BnkContName, BnkContPhone, CustEmail, OrderIP, SiteRefFrom, ShipStreet, ShipCity, ShipSt, ShipZip, OrderLineNum, ItemID, ItemName, ItemDesc, ItemQtyOrdered,ItemListPrice, ItemSalePrice, ItemQtyShip, ShipCharge, Tax, TotalDue)
QUESTION 15 Code a single MongoDB (not Mongoose) method along with necessary JavaScript code to Find a document in the WEB322 collection where it has username of student123@senecacollege.ca, gender of M, telephoneNumber of 4167778899, and position of Manager Update the document's telephone field to 9052223344 while insert a new field in the document called salary with a value of 60000 Remember, only one MongoDB method may be used
Complete the .htaccess code below to tell Apache Web Server what document to display for visitors who fail to authenticate with HTTP error 401. ___ ____ /pmwd/chapter16/secret/rejection.html Use SQL to give the SELECT privilege on all auth database tables to the MySQL user webauth. Modify the following code to perform simple password verification in PHP. if (___($password, $hash)) { // OK passwords match }