Python Packages

[Preston-Walker]

This module has a lot of content. If we want to add a badge and/or activities, splitting up the module might be helpful as to not overwhelm people. We talked about making numpy its own module and grouping pandas and matplotlib.

[Preston-Walker]

Implementing a badge: Problem 1:

• Use the system of equations in sys_eqs.txt to generate a matrix representation of the equations.
• Use numpy functions to solve the system.

Problem 2:

• Use numpy to simulate 10000 random dice rolls using random seed "19680801".
• Create a histogram of the results. Make it match a sample graph.

Problem 3:

• Use pandas to read the data found in data.csv and display it as a table.
• Use matplotlib to plot 2 columns of the data on the same axis with labels and a legend. Make it match a sample graph.
• Use matplotlib to plot a different column of data as a box plot. Make it match a sample graph.

[Zach227]

Time Spent

• Mean: 3.3157894736842106
• Median: 3.0
• Max: 8.0
• Min: 1.0
• Full Data: 1.0, 1.0, 1.5, 1.5, 1.5, 2.0, 2.0, 2.0, 3.0, 3.0, 3.0, 3.0, 3.5, 4.0, 5.0, 5.0, 6.0, 7.0, 8.0

Comments

• This helped me understand the usefulness of pandas when I didn't before
• There are a lot of examples to look at documentation for. The links with a few specific examples to try might help focus the activities.
• Great module, just add some quizzes!
• I feel like a lot is covered in a short amount of time, perhaps combining python into one lecture and splitting the activities for this up would be helpful.
• These tools are kind of dificult but I have already used them in my research so they are pretty usefull
• The video was a good tutorial, and a great overview was provided.
• This was a good module. The packages have so much you can do with them, there's no way I will remember everything
• I thought this was a good way to get us looking at and using the documentation for these packages. It was a really good introduction to the power of python packages.
• Good intro to these modules, pandas was new to me.
• none
• These libraries are really cool, and I'm excited to use them in the future.
• It was hard to understand all three of these python packages in such a short time. It took me much longer to practice all three and to understand what exactly is going on. However, it was a very good resource for me as I need to use numpy, pandas, and matplot lib frequently. It was a good starter to understanding the power of these python tools.
• Great video and introduction to python labs. I think it would have been cool to have more interactive activities to follow up this lecture with.
• I think the resources this module has is good enough.