<jupyter_start><jupyter_text>ACS Lab 01 - Scientific VisualizationThe first lab of the semester will be structured differently than the rest. The focus of this lab is to familiarize yourself with a wide variety of scientific visualizations. All of the labs this semester will be language agnostic, meaning you can use your language of choice, but they often require a higher level language such as python, matlab or R.All of my solutions will be written in python. I highly recommend installing python via the Anaconda distribution ([Installation Instructions](https://conda.io/docs/install/full.html)). If you install this way you will have all of the packages I used to complete this assignment. For this lab you will be asked to complete any 10 of the following 11 visualization tasks.Remember to label your axes when appropriate and when plotting multiple results on a single plot remember to include a legend.<jupyter_code>import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy
import sys

print('Python version: {}'.format(sys.version[:5]))
print('Matplotlib version: {}'.format(mpl.__version__))
print('Numpy version: {}'.format(np.__version__))
print('Scipy version: {}'.format(scipy.__version__))
print('Pandas version: {}'.format(pd.__version__))<jupyter_output>Python version: 3.6.0
Matplotlib version: 2.0.0
Numpy version: 1.13.1
Scipy version: 0.19.1
Pandas version: 0.20.3
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