Description

Assignment 1
“Mean”

As you complete this assignment, please do not use single character variable names. Instead, use meaningful names (names that tell the reader what is represented and why). For example, the name “mean” or “mean_avg” is meaningful, “m” is not.

Background:
As specified in the course syllabus, please download and install the “code3” code folder (directory) onto your system. To install the folder, you merely extract the zip folder to a folder (directory) on your local file system. Additionally, you’ll need to install the Anaconda data science platform onto your system.
This assignment requires that you create, build, and run a Jupyter notebook. Jupyter notebooks are not created or run within an IPython IDE such as the Spyder application. Instead, Jupyter notebooks are run within your default web browser application. To create notebook files you need to use JupyterLab or Jupyter Notebook. I recommend that you use JupyterLab. Please see the
“Getting_Started_with Assignment_1_Using_JupyterLab.docx” file located in the Lesson 1 Canvas module.
When you create your Jupyter notebook file, it will launch your default web browser (if not already launched), and your notebook will be displayed within one of your web browser’s tabs. You do your work, execute your commands, and save your notebook file within your browser. Some students get confused because nothing seems to happen with they create the notebook from their IPython IDE (e.g., Spyder)—you need to switch to your browser app to be able to find your newly created Jupyter notebook. It is highly recommended that you set either Chrome or Firefox to be your default browser. The Windows Internet Explorer (IE) and Edge browsers are not reliable browsers for working with the Jupyter platform. If you are using an OSX system, Safari seems to work okay. However, if you run into problems, please consider setting Chrome to be your default browser. Also, if you are running OSX, Anaconda Navigator will be installed in your Applications folder, just like all other applications.
For further guidance regarding Jupyter notebooks, please go to the following URL:
https://jupyter.org/
Important clarification: Assignment 1 is the only assignment that uses an .ipynb file. This first assignment serves as an introduction to the Jupyter platform. Jupyter is an exciting new development in the field of Computer Science, and it’s important that you are aware of it as a resource. However, you won’t be submitting any additional .ipynb based assignments in this course
Description:
Note: In the Modules section of our course shell, there are two resources,
“Getting_Started_with_Assignment_1_Using_JupyterLab.docx” and
“Assignment_Example.ipynb”, that offer a supportive context for you to complete this first assignment.

Create an IPython Jupyter Notebook file that performs the following:
1. Provide two or more headers, using the Markdown cell mode with leading ‘#’s at the beginning of your text, specifying the assignment title and your name. Note that the ‘#’s must be immediately followed by a space in order for them to render properly as headers. By executing a Markdown cell, the specified text becomes a comment header within your Jupyter notebook. You will be executing at least two Markdown cells to provide your assignment title and your name as text headers.
2. Prompt the user (i.e., use the input(…) function), and receive input from the user for five floating point numeric values. You must use five cells to accomplish this. Note that section 2.10 Asking the user for input demonstrates how to use the input(…) function. It also explains how the value returned is of type string, and how to convert that value to an object of a different type by using a conversion function such as int(…) or float(…).
3. Using the five floating point numeric values that were entered by the user, calculate and present (i.e., use the print(…) function) the floating point mean value to the user. Since we haven’t covered Python lists yet, you are not allowed to use one. Similarly, you are not allowed to use the statistics module for this assignment.

Clarification and a good tip:
Deliverable:
One IPython Jupyter Notebook file (with an .ipynb extension), submitted as an attachment at our course shell assignment page.
Please see the course schedule in our syllabus for all assignment submission deadlines.