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.

.. raw:: html

   <figure>

.. raw:: html

   <iframe width="560" height="315" src="https://www.youtube.com/embed/scBfg6g4y-4" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen>

.. raw:: html

   </iframe>

.. raw:: html

   <figcaption>

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

.. raw:: html

   </figcaption>

.. raw:: html

   </figure>

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.

.. raw:: html

   <figure>

.. raw:: html

   <iframe width="560" height="315" src="https://www.youtube.com/embed/rE1O8P9J0yQ" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen>

.. raw:: html

   </iframe>

.. raw:: html

   <figcaption>

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

.. raw:: html

   </figcaption>

.. raw:: html

   </figure>

Introduction to Curve Fitting
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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

.. raw:: html

   <figure>

.. raw:: html

   <iframe width="560" height="315" src="https://www.youtube.com/embed/nzfpXDgdrds" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen>

.. raw:: html

   </iframe>

.. raw:: html

   <figcaption>

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

.. raw:: html

   </figcaption>

.. raw:: html

   </figure>

.. container::

   .. rubric:: IPython Startup: Adding Default Imports and Running Code
      Automatically
      :name: 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.

   .. raw:: html

      <figure>

   .. raw:: html

      <figcaption>

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

   .. raw:: html

      </figcaption>

   .. raw:: html

      </figure>

   .. rubric:: Configuring Matplotlib Styles
      :name: configuring-matplotlib-styles

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

   .. raw:: html

      <figure>

   .. raw:: html

      <figcaption>

   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.

   .. raw:: html

      </figcaption>

   .. raw:: html

      </figure>