Analyzing and Visualizing Data with Python: An Introduction to numpy and matplotlib In-Person

Please note: Registration is required for this event. Please click here to register.

Are you ready to learn the basics of data analysis and visualization in Python? In this 2-hour in-person workshop, we'll explore two of Python's most popular libraries, numpy and matplotlib.

In this session, you'll learn how to:

• Import and use Python libraries
• Read tabular data into Python
• Perform basic statistical operations on the data
• Create basic plots from the data
• Process and plot multiple data files at once

In order to get the most out of this workshop, it is recommended that you have attended "Getting Started with Python: An Introduction to Programming." Or, please ensure that you understand the following Python concepts: strings, integers, variables, functions such as print(), lists, and for loops.

Technical requirements:

• Install Python on your computer
• Install a Python environment, such as Jupyter Notebook, PyCharm, etc. -- the instructor will use Jupyter Notebook
• Install the following Python libraries: numpy, matplotlib
• Or: install Anaconda (which will do all of above at once for you)

If you'd like assistance with the technical setup for this class, please come to the tech set-up session (on 9/22 or 9/27) or email Kaitlin Throgmorton.

Prerequisites:

• Either "Getting Started with Python: An Introduction to Programming" or a good working understanding of Python fundamentals (strings, integers, variables, the print function, lists, and loops)