I have a python for loop that iterates 10 times and creates an 1d array. I want to create a matrix where each iteration is added as a row in a numpy matrix, so that the firtst iteration creates the first row of the matrix, thesecond iteration creates the second row, etc. My code gives me the value I want just have a hard time creating the matrix. I have created a zeros matrix of the proper dimensions, I just cannot figure out how to move the data there.

NO REGEX OR ANYTHING COMPLICATED PLEASE.. USE BASIC APPROACH Create a program in Python that reads data from Breakfast Menu (https://www.w3schools.com/xml/simple.xml) and builds parallel arrays for the menu items, with each array containing the menu item name, description, calories, and price, respectively. After reading the data and building the arrays, display the menu items similar to the following:    name - description - calories - priceAt the bottom, display the total number of items on the menu, the average number of calories per item, and the average price per item similar to:    0 items - 0 average calories - $0.00 average price   You may either read the page using Internet processing methods, or you may download and save the page and then read the data from the saved file. You must process the data using string functions (no XML libraries). must use separate subroutines/functions/methods to implement each type of processing, and include error handling for missing or invalid…

1. Write a python program that combines two arrays of the same size one-in-a-row. For instance, if a=[1,2,3,4] and b=[5,6,7,8], the combined array should be [1,5,2,6,3,7,4,8].

The manager of the team comes over to you and tells you he needs a simple process in place to sort through the raw lap times which is currently just a list of numbers (in seconds) in an array: lap_times = [76.43, 77.92, 74.35, 80.12, 75.10, 76.43, 76.01, 75.35] You need to design an algorithm (you can use a programming language or pseudo code if you wish) to sort the lap times into ascending order. You should consider how to do it in as few lines of code as possible and using an efficient solution (given that once this goes live the list of lap times will be significantly greater data wise).