cs401r_w2016:lab1
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cs401r_w2016:lab1 [2015/12/23 16:55] admin |
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| + | ====Objective:==== | ||
| - | ===Objective:=== | + | Get started with anaconda, python, ipython notebooks, and pandas. Begin producing simple visualizations of data and images. |
| - | Get started with python, ipython notebooks and anaconda. | + | ---- |
| + | ====Deliverable:==== | ||
| - | ===Deliverable:=== | + | For this lab, you will submit an ipython notebook. This notebook will have two parts: |
| - | An ipython notebook that generates a random image. We will run this | + | **Part 1:** Your notebook should generate a random image. We will run this |
| notebook 5 times; it should generate 5 different, moderately complex | notebook 5 times; it should generate 5 different, moderately complex | ||
| images. Each image should be 512 x 288. Have fun with it! | images. Each image should be 512 x 288. Have fun with it! | ||
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| {{:cs401r_w2016:lab1.png?nolink|}} | {{:cs401r_w2016:lab1.png?nolink|}} | ||
| - | ===Description:=== | + | **Part 2:** Your notebook should use the pandas library to read in some CSV data and plot some of it. |
| + | Your plot should look something like this: | ||
| + | |||
| + | {{:cs401r_w2016:lab1_storesales.png?direct&700|}} | ||
| + | |||
| + | ---- | ||
| + | ====Description:==== | ||
| Throughout this class, we will be using a combination of ipython | Throughout this class, we will be using a combination of ipython | ||
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| In preparation for future labs, we strongly encourage you to use the | In preparation for future labs, we strongly encourage you to use the | ||
| - | [[https://anaconda.org/anaconda/cairo|cairo]] package as part of your image generator. | + | [[http://cairographics.org/|cairo]] package as part of your image generator. |
| - | ===Installing anaconda:=== | + | ---- |
| + | ====Installing anaconda:==== | ||
| http://docs.continuum.io/anaconda/install | http://docs.continuum.io/anaconda/install | ||
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| notebook. | notebook. | ||
| - | Here's some starter code to help you generate an image: | + | Here's some starter code to help you generate an image. The ''nbimage'' function will display the image inline in the notebook: |
| <code python> | <code python> | ||
cs401r_w2016/lab1.txt · Last modified: 2021/06/30 23:42 (external edit)
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