Intro to Python

Tuesday, Oct 16, 2018 - 10:00am to 12:00pm

This lesson is an introduction to programming in Python for people with little or no previous programming experience. It uses plotting as a motivating example. This lesson references the Jupyter Notebook, but can be taught using a regular Python interpreter as well. Please note that this lesson uses Python 3 rather than Python 2.

Objectives
* Launch the Jupyter Notebook, create new notebooks, and exit the Notebook.
* Explain key differences between integers and floating point numbers.
* Explain key differences between numbers and character strings.
* Explain the purpose of and use built-in functions.
* Use help to display documentation for built-in functions.
* Explain what software libraries are and why programmers create and use them.
* Use Pandas to load a simple CSV data set.
* Create a time series plot showing a single data set.

Following this workshop, join colleagues and peers in the Data Science Center for more in-depth exploration of Python for data analytics. 

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