Videos Illustrating Basic Usage Cases

Python and Jupyter can be less than inviting, even if they are among the best tools currently available for scientists. Here are some videos showing how to perform common tasks in Python, PyARPES, and Jupyter that should help get you started.

Installation on Windows

This video shows how to install PyARPES on Windows using Miniconda.

A demonstration of how to install PyARPES on Windows in PowerShell.

Different Ways of Loading Data

There are a few different ways of ingesting data in PyARPES. This example takes us through them and contrasts the requirements and advantages of each.

In PyARPES, we can indicate where data came from with location=, or let PyARPES try to guess for us.

Introduction to Curve Fitting

This is a short tutorial video on curve fitting with LmFit and automating curve fitting tasks in PyARPES.

PyARPES provides utilities for performing single curve fits, many curve fits, and broadcasting operations across collections.

IPython Startup: Adding Default Imports and Running Code Automatically

This video shows how to customize what code gets imported and run when you start an IPython notebook.

Using an IPython startup configuration makes it more convenient to restart your kernel, and incentivizes splitting your analysis across several notebooks.

Configuring Matplotlib Styles

This shows how to adjust the styles matplotlib uses when it outputs graphics.

PyARPES includes some default styles that extend Seaborn’s. You can use these or consider this a tutorial on modifying the default appearance of your plots and figures.