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Question
Pseudocode and Flowchart Solution
Instructions: Explain Provide a PowerPoint that contains a FLOWCHART and a PSEUDOCODE for each problem (You may use a different application if PowerPoint is not available).
Use the information below to provide a pseudocode (which can be a text-based description for solving the problems) and a flowchart (using flowchart symbols to illustrate how you would program) to solve each problem.
Describe an algorithm, relying only on the BinaryTree operations, that counts the number of leaves in a binary tree that their parents are the right child ren.
Create a function that takes in an Excel formula and returns that formula in all lowercase and with all dollar signs removed.
Project: PLC Programming with Ladder Logic - Construct a program that will simulate a push button activated LED - After this point the shutdown process
Write a program that displays, ten numbers per line, all the numbers from 100 to 200 that are divisible by 5 or 6, but not both. The numbers are separated.
State the universal you are proving, and state the induction principle you are using - Write a Python function that takes n = 1 and returns an
Question - Write an algorithm for pseudo random number generator
Write a program to determine the coefficients of expanded form of (aX+bY+c)n. Every line in bold is questions to ask whoever runs the program to enter values or commands (y or n) at the console.
Assume that a file containing a series of integers is named numbers.txt. Write a program that calculates the average of all the numbers stored in the file.
Define a word as ending a sentence if that word is immediately followed by a period. A startwords function that takes a single string argument.
What is meant by the methods associated with a class/object? How do they relate to object-oriented programming? How does one define a new class and its methods?
Execute a simple program to compute the tax on an order amount. The program should prompt for the order amount and the state.
Your task is to write Python code which will train and validate the following two classification models: K-Nearest neighbour (KNN) classifier
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