Python Short Course for Data Analysis and Visualization

Part 1

1. REPL and scripts
2. Data types
3. Functions and conditionals
4. Loops
5. Classes and objects

Part 2

1. Light propagation in waveguides

• Plotting basics
• Polynomial fit

2. Transmission between antennas

• CSV files
• Numpy arrays
• More plotting
• General model fit

3. RF matching network

• Multi-dimensional data
• Array manipulation
• Contour and image plots

Requirements

• Python 3
• Numpy
• Scipy
• Matplotlib
• Jupyter Notebook

Or access a temporary live version of this course via Binder.