Python for Business: Setup

Software

We will use jupyter notebook to run python. If you have not installed jupyter notebooks, please follow the instructions to install. For both windows and Mac, the easiest way is to install ANACONDA (recomend download and install the python 3.6 version). ANACONDA will automatically install python, jupyter and few packages that are frequently used in data analytics to your computer. You can also choose to use python -m pip install jupyter command to install if you already have python in your computer.

After installing anaconda,

Windows

• Create a new folder on your desktop called “python_workshop”
• go to “Start” or the windows button on your desktop, type “anaconda prompt” in your search bar, click “anaconda prompt”.
• Type cd desktop and hit enter (this will go to your desktop. You can use other directory as well)
• Type cd python_workshop and hit enter to go to the folder you just created
• Type jupyter notebook to open the notebook! It will automatically open your browser. If not, copy the link that shows up on the terminal and paste it into your browser.

Macs

• go to “Go” -> “Utilities” -> “Terminal”
• Now we will make a folder for the workshop:
• Type cd Desktop and hit enter (this will go to your desktop. You can use other directory as well)
• Type mkdir python_workshop and hit enter (this will create an folder named “python_workshop” on your desktop, you can change the name if you want)
• Type cd python_workshop and hit enter to go to the folder you just created
• Type jupyter notebook to open the notebook! It will automatically open your browser. If not, copy the link that shows up on the terminal and paste it into your browser.

Now you successfully have the notebook open!

Data

Download this data to your computer: tbd

About the data

The data for this lesson is a part of the Data Carpentry Business workshop. The original data for this lesson and the workshop are collected from the State of Iowa It is open for public use, we have modified the data for the workshop

The data sets are stored in comma-separated values (CSV) format. We will learn:

• load that data into memory
• perform arithmetic calculation, aggregation and analytics with the data
• plot the result