What is it called when a Pandas Series or DataFrame has an index composed of timestamps? PandasTimelndex Timestamplndex Timelndex Datetimelndex

What's "metadata"? Metadata in a dataset: Metadata from a result set—useful?

Explain the relationship between these pieces of code CREATE SEQUENCE Customers_Sequence; _______________________________________________________________________ CREATE TRIGGER Customers_Sequence_Trigger BEFORE INSERT ON Customers FOR EACH ROW WHEN (new.CustomerID IS NULL) BEGIN   SELECT Customers_Sequence.NEXTVAL   INTO   :new.CustomerID   FROM   dual; END; ________________________________________________________________________ CREATE TABLE Customers (     CustomerID int ,     CustFirstName varchar (25) NULL ,     CustLastName varchar (25) NULL ,     CustStreetAddress varchar (50) NULL ,     CustCity varchar (30) NULL ,     CustState varchar (2) NULL ,     CustZipCode varchar (10) NULL ,     CustAreaCode smallint DEFAULT 0 NULL ,     CustPhoneNumber varchar (8) NULL  ); _________________________________________________________________ INSERT INTO Customers   (CustomerID, CustFirstName, CustLastName, CustStreetAddress,     CustCity, CustState, CustZipCode, CustAreaCode,…

Insert the following records into their corresponding tables, using the MySQL CLI. Take a screenshot of a Select * command being successfully executed on each table (6 total). School School Number Name Address PhoneNumber built size 54 John Adams High School 8226 Selby Lane 5056444088 2012-12-13 118500 45 Hogwarts School of Witchcraft and Wizardry 738 North Williams Ave. 5056448362 2001-11-14 414000 119 Dillon High School 475 South University Ave. 5058672818 2006-10-03 102598 345 Green Dale High 772 Grand St. 5056624410 2009-09-17 250345 93 Bayside High 7914 Aspen Drive 5057756575 2000-08-20 175645

Insert the following records into their corresponding tables, using the MySQL CLI. Take a screenshot of a Select * command being successfully executed on each table (6 total). Administrator employeeNumber SchoolNumber firstname lastName phoneNumber officeNumber 4 45 Albus Dumbledore 2072087222 201 60 45 Minerva McGonagall 2406994295 150 119 45 Percy Weasley 4324061884 302 138 345 Ken Jeong 5058091461 503 52 345 Jim Rash 4173119531 654 16 345 John Oliver 4255510706 321 25 93 Dennis Haskins 5056465505 987 146 93 Hayley Mills 5056443920 852 101 93 Joan Ryan 5056444527 963 172 119 Eric Taylor 4197627238 741 89 119 Tami Taylor 5056449431 159 76 119 Matt Saracen 5058813720 753 193 54 George Feeny 2136699130 456 77 54 Jonathan Turner 5056833823 789 24 54 Eli Williams…

The Developers team also wants you to ensure that emails are converted to lowercase after an update operation. Currently, new insertions are guaranteed to have lowercase emails, but there is no such guarantee for legacy emails. Therefore, the team wants to ensure that emails are being retained in a lowercase irrespective of any changes in the database. Create a new TRIGGER called email_update for the USERS table that runs before an UPDATE operation. Task Create a TRIGGER to run on the USERS table before any UPDATE operation.

An employee of BITS Corporation created the query shown in Figure 2-48. She wants to list the client number and the task IDs associated with each order. Will the query results be correct? If so, list other fields that would be useful. If not, how should she modify the query to achieve this result?

import sqlite3 from sqlite3 import Error # Creates connection to sqlite in-memory database def create_connection():     """     Create a connection to in-memory database     :return: Connection object     """     try:         conn = sqlite3.connect(":memory:")         return conn     except Error as e:         print(e)     # YOUR CODE HERE     # Use sqlite3.connect(":memory:") to create connection object     return conn # query to create the table table_sql = """ CREATE TABLE Horses (     id integer PRIMARY KEY NOT NULL,     name text,     breed text,     height real,     birthday text ); """ # query to insert data into the table ins_sql = """INSERT INTO Horses VALUES(1,'Babe','Quarter Horse',15.3,'2015-02-10'); """ # query to fetch all data from the table fetch_sql = """SELECT * FROM Horses;""" # creating db connection conn = create_connection() # fetching a cursor from the connection c = conn.cursor() # executing statement to create table c.execute(table_sql) # executing statement to…

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