This document provides an introduction to a Computer Science 151 course on the fundamentals of computing using Python. The course covers topics about the sun including its mass, size relative to Earth, energy from nuclear fusion, and time for light to reach Earth. It also classifies the sun as a yellow dwarf star and discusses that it appears yellow-green to the human eye. The document outlines a final project assignment involving analyzing sunspot data from 1749 to 2018 to identify solar cycles. Students are instructed to clean the data, create a graph, and write a conclusions report.

1. Computer Science 151
An introduction to the art of
computing
Exploration in Python
Rudy Martinez

2. Sol
• The Sun accounts for 99.86% of the mass in the solar system.
• Over one million Earth’s could fit inside the Sun.
• The energy created by the Sun’s core is nuclear fusion.
• It takes eight minutes for light reach Earth from the Sun.
• The Sun generates solar winds.
• The Sun is classified as a yellow dwarf star.
• What color is the sun?
• Red/Yellow/Green?
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3. Sol
• What color is the sun? Green is the color of most of the light!
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4. Sol
• What color is the sun?
Our eyes see this from
space.
• This is because the sun
is basically a ‘black’
body emitter.
• Black body emitters
release radiation in all
wave lengths.
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5. How big is it?
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You are here.

6. Final Project Sunspot
• What is a sunspot?
• Sunspots are an indication of magnetic disturbances in the Sun’s magnetic
Field.
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7. Final Project Sunspot
• Why is this important?
• The apparent result down here on Earth
is that the sun glows brighter by about
0.1 percent now than it did 100 years
ago.
• Effects:
• Magnetic storms in the Earths
magnetosphere causing radio/cell
phone disruptions.
• Electrical grids feel the effects as well
• May effect the cloud cover!
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8. Final Project
• Your assignment is to graph the sunspots from 1749 to 2018.
• Sunspots.csv
• Use what you know about cleaning data, averaging and graphing to create a
graph that will allow you to interpret the data to see if the sun spots have
cycles.
• The answer is yes, now you have to find it.
• Once you have the data file cleaned and you have a graph you should write a
short report with your conclusions.
• You will turn in a python file (FinalPro-ject.py) and a PDF of your write up
including your graph.
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9. Alternatives:
• Image Classification in 10 minutes with MNIST Dataset
• https://towardsdatascience.com/image-classification-in-10-minutes-with-
mnist-dataset-54c35b77a38d
• Face Recognition with Python
• https://realpython.com/face-recognition-with-python/
• Sentiment Analysis with Python
• https://towardsdatascience.com/sentiment-analysis-with-python-part-1-
5ce197074184
• Develop your first Neural Network in Python
• https://machinelearningmastery.com/tutorial-first-neural-network-python-
keras/
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10. Tutorial Turn in
• The code you copied/wrote to make the project work.
• A one page report on what you learned in the tutorial, and what you
would like to have seen to make it better.
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