1. Short Lesson: Markdown#

1.1. Here is a simple numbered list#

  1. import libraries numpy, sympy, matplotlib

  2. symbolically manipulate an equation using sympy.solve()

  3. generate x and y data for a function using numpy.arange()

  4. plot the x, y data using matplotlib.pyplot.plot()

  5. add horizontal lines and text to a plot

1.2. Here is an example of including equations in markdown#

For equations, place laytex code between \(\text{\$\$}\) e.g.

\[\text{\$\$ x = 3 \$\$}\]
which gives us:
\[ x=3 \]

If we type for example:

\[ \text {\$\$ \text{% crystallinity} = \frac{\rho_c (\rho_s - \rho_a)}{\rho_s (\rho_c - \rho_a)} \$\$} \]

we will get:
\[ \mathbf{\text{% crystallinity} = \frac{\rho_c (\rho_s - \rho_a)}{\rho_s (\rho_c - \rho_a)}} \]

Use an online laytex equation editor to get your code and then just paste between the double dollar signs. Just search “laytex equation editor” in google to find one.